![\"\u5206\u6790\u79d1\u5b66\u6570\u636e\u5e76\u52a0\u901f\u4e13\u4e1a\u7814\u7a76\"](\"https:\/\/ai.jxgzhc.cn\/wp-content\/uploads\/2026\/09\/scientific-agent-skills.webp\")
<\/p>\n<\/p>\n
\u5c06\u60a8\u7684AI\u667a\u80fd\u4f53\u5347\u7ea7\u4e3a\u5177\u5907\u4e13\u4e1a\u79d1\u7814\u80fd\u529b\u7684\u52a9\u624b\uff0c\u81ea\u52a8\u5316\u5904\u7406\u590d\u6742\u7684\u79d1\u5b66\u6570\u636e\u5206\u6790\u4e0e\u6587\u732e\u7814\u7a76\u4efb\u52a1\u3002<\/strong><\/p>\n Scientific Agent Skills<\/p>\n \u4e00\u4e2a\u5168\u9762\u7684\u96c6\u5408\uff0c\u5305\u542b 158 \u4e2a\u5373\u7528\u578b\u79d1\u5b66\u548c\u7814\u7a76\u6280\u80fd \uff08\u6db5\u76d6\u764c\u75c7\u57fa\u56e0\u7ec4\u5b66\u3001\u4e2a\u4f53\u7ea7\u5343\u4eba\u57fa\u56e0\u7ec4\u67e5\u8be2\u3001\u6258\u7ba1\u7684\u8c03\u63a7\u5e8f\u5217\u9884\u6d4b\u3001\u5b9e\u65f6\u75c5\u539f\u4f53\u53d8\u5f02\u76d1\u6d4b\u3001\u5206\u6790\u65b9\u6cd5\u9a8c\u8bc1\u3001PK\/PD \u5efa\u6a21\u4e0e\u5242\u91cf\u9009\u62e9\u3001\u751f\u7269\u533b\u5b66\u548c\u76d1\u7ba1\u6587\u732e\u5168\u6587\u68c0\u7d22\u3001\u836f\u7269-\u9776\u70b9\u7ed3\u5408\u3001\u5206\u5b50\u52a8\u529b\u5b66\u3001RNA \u901f\u5ea6\u3001\u5730\u7406\u7a7a\u95f4\u79d1\u5b66\u3001\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u3001\u901a\u8fc7 Hugging Science \u8fdb\u884c\u79d1\u5b66 ML \u8d44\u6e90\u53d1\u73b0\u300178+ \u4e2a\u79d1\u5b66\u6570\u636e\u5e93\u7b49\uff09\uff0c\u9002\u7528\u4e8e\u4efb\u4f55\u652f\u6301\u5f00\u653e Agent Skills \u6807\u51c6\u7684 AI \u667a\u80fd\u4f53\uff0c\u7531 K-Dense \u521b\u5efa\u3002\u9002\u7528\u4e8e Cursor\u3001Claude Code\u3001Codex\u3001Google Antigravity \u7b49 \u3002\u5c06\u60a8\u7684 AI \u7f16\u7801\u667a\u80fd\u4f53\u8f6c\u53d8\u4e3a\u80fd\u591f\u8de8\u751f\u7269\u5b66\u3001\u5316\u5b66\u3001\u533b\u5b66\u7b49\u9886\u57df\u6267\u884c\u590d\u6742\u591a\u6b65\u9aa4\u79d1\u5b66\u5de5\u4f5c\u6d41\u7a0b\u7684\u7814\u7a76\u52a9\u624b\u3002<\/p>\n Claude Scientific Skills \u73b0\u5df2\u66f4\u540d\u4e3a Scientific Agent Skills\u3002 \u76f8\u540c\u7684\u6280\u80fd\uff0c\u66f4\u5e7f\u6cdb\u7684\u517c\u5bb9\u6027\u2014\u2014\u73b0\u5728\u53ef\u4e0e\u4efb\u4f55\u652f\u6301\u5f00\u653e Agent Skills \u6807\u51c6\u7684 AI \u667a\u80fd\u4f53\u914d\u5408\u4f7f\u7528\uff0c\u800c\u4e0d\u4ec5\u9650\u4e8e Claude\u3002<\/p>\n \u8fd9\u4e9b\u6280\u80fd\u4f7f\u60a8\u7684 AI \u667a\u80fd\u4f53\u80fd\u591f\u65e0\u7f1d\u5730\u4f7f\u7528\u4e13\u95e8\u7684\u79d1\u5b66\u5e93\u3001\u6570\u636e\u5e93\u548c\u5de5\u5177\uff0c\u8de8\u8d8a\u591a\u4e2a\u79d1\u5b66\u9886\u57df\u3002\u867d\u7136\u667a\u80fd\u4f53\u53ef\u4ee5\u81ea\u884c\u4f7f\u7528\u4efb\u4f55 Python \u5305\u6216 API\uff0c\u4f46\u8fd9\u4e9b\u660e\u786e\u5b9a\u4e49\u7684\u6280\u80fd\u63d0\u4f9b\u4e86\u7ecf\u8fc7\u7cbe\u5fc3\u6574\u7406\u7684\u6587\u6863\u548c\u793a\u4f8b\uff0c\u4f7f\u5176\u5728\u4ee5\u4e0b\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u66f4\u5f3a\u5927\u3001\u66f4\u53ef\u9760\uff1a<\/p>\n \ud83e\uddec \u751f\u7269\u4fe1\u606f\u5b66\u4e0e\u57fa\u56e0\u7ec4\u5b66 \u2013 \u5e8f\u5217\u5206\u6790\u3001\u5355\u7ec6\u80de RNA-seq\u3001\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\u3001\u53d8\u5f02\u6ce8\u91ca\u3001\u7cfb\u7edf\u53d1\u80b2\u5206\u6790<\/p>\n \ud83e\uddea \u5316\u5b66\u4fe1\u606f\u5b66\u4e0e\u836f\u7269\u53d1\u73b0 \u2013 \u5206\u5b50\u5c5e\u6027\u9884\u6d4b\u3001\u865a\u62df\u7b5b\u9009\u3001ADMET \u5206\u6790\u3001\u5206\u5b50\u5bf9\u63a5\u3001\u5148\u5bfc\u5316\u5408\u7269\u4f18\u5316<\/p>\n \ud83d\udd2c \u86cb\u767d\u8d28\u7ec4\u5b66\u4e0e\u8d28\u8c31\u5206\u6790 \u2013 LC-MS\/MS \u5904\u7406\u3001\u80bd\u6bb5\u9274\u5b9a\u3001\u8c31\u56fe\u5339\u914d\u3001\u86cb\u767d\u8d28\u5b9a\u91cf<\/p>\n \ud83c\udfe5 \u4e34\u5e8a\u7814\u7a76\u4e0e\u8bc1\u636e\u5de5\u4f5c\u6d41 \u2013 \u4e34\u5e8a\u8bd5\u9a8c\u3001\u836f\u7269\u57fa\u56e0\u7ec4\u5b66\u3001\u53d8\u5f02\u8bc1\u636e\u5ba1\u9605\u3001\u836f\u4ee3\u52a8\u529b\u5b66\/\u836f\u6548\u5b66\u5efa\u6a21\u4e0e\u5242\u91cf\u65b9\u6848\u8bc4\u4f30\u3001\u6c47\u603b\u51b3\u7b56\u652f\u6301\u8bc4\u4f30\u3001\u57fa\u4e8e\u6e90\u8bc1\u636e\u7684\u8349\u7a3f\u62a5\u544a\u7ed3\u6784\uff0c\u4ee5\u53ca\u4e34\u5e8a\u533b\u751f\u64b0\u5199\u7684\u6cbb\u7597\u51b3\u7b56\u683c\u5f0f\u5316<\/p>\n \ud83e\udde0 \u533b\u7597 AI \u4e0e\u751f\u7269\u4fe1\u53f7\u7814\u7a76 \u2013 EHR \u548c\u6a21\u578b\u7814\u7a76\u3001\u751f\u7406\u4fe1\u53f7\u5206\u6790\u53ca\u56de\u987e\u6027\u9a8c\u8bc1\u2014\u2014\u4e0d\u6d89\u53ca\u60a3\u8005\u7279\u5b9a\u8bca\u65ad\u3001\u6cbb\u7597\u3001\u8b66\u62a5\u6216\u90e8\u7f72\u51b3\u7b56<\/p>\n \ud83d\uddbc\ufe0f \u533b\u5b66\u5f71\u50cf\u4e0e\u6570\u5b57\u75c5\u7406\u5b66 \u2013 \u9690\u79c1\u611f\u77e5\u7684 DICOM \u5904\u7406\u53ca\u4ec5\u9650\u7814\u7a76\u7684\u5168\u5207\u7247\u56fe\u50cf\u5206\u6790\u3001\u8ba1\u7b97\u75c5\u7406\u5b66\u548c\u653e\u5c04\u5b66\u6570\u636e\u5de5\u4f5c\u6d41<\/p>\n \ud83e\udd16 \u673a\u5668\u5b66\u4e60\u4e0e AI \u2013 \u6df1\u5ea6\u5b66\u4e60\u3001\u5f3a\u5316\u5b66\u4e60\u3001\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u3001\u6a21\u578b\u53ef\u89e3\u91ca\u6027\u3001\u8d1d\u53f6\u65af\u65b9\u6cd5<\/p>\n \ud83d\udd2e \u6750\u6599\u79d1\u5b66\u4e0e\u5316\u5b66 \u2013 \u6676\u4f53\u7ed3\u6784\u5206\u6790\u3001\u76f8\u56fe\u3001\u4ee3\u8c22\u5efa\u6a21\u3001\u8ba1\u7b97\u5316\u5b66<\/p>\n \ud83c\udf0c \u7269\u7406\u5b66\u4e0e\u5929\u6587\u5b66 \u2013 \u5929\u6587\u6570\u636e\u5206\u6790\u3001\u5750\u6807\u53d8\u6362\u3001\u5b87\u5b99\u5b66\u8ba1\u7b97\u3001\u7b26\u53f7\u6570\u5b66\u3001\u7269\u7406\u8ba1\u7b97<\/p>\n \u2699\ufe0f \u5de5\u7a0b\u4e0e\u4eff\u771f \u2013 \u79bb\u6563\u4e8b\u4ef6\u4eff\u771f\u3001\u591a\u76ee\u6807\u4f18\u5316\u3001\u4ee3\u8c22\u5de5\u7a0b\u3001\u7cfb\u7edf\u5efa\u6a21\u3001\u8fc7\u7a0b\u4f18\u5316<\/p>\n \ud83d\udcca \u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316 \u2013 \u7edf\u8ba1\u5206\u6790\u3001\u7f51\u7edc\u5206\u6790\u3001\u65f6\u95f4\u5e8f\u5217\u3001\u53ef\u53d1\u8868\u8d28\u91cf\u56fe\u8868\u3001\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u3001\u63a2\u7d22\u6027\u6570\u636e\u5206\u6790<\/p>\n \ud83c\udf0d \u5730\u7406\u7a7a\u95f4\u79d1\u5b66\u4e0e\u9065\u611f \u2013 \u536b\u661f\u56fe\u50cf\u5904\u7406\u3001GIS \u5206\u6790\u3001\u7a7a\u95f4\u7edf\u8ba1\u3001\u5730\u5f62\u5206\u6790\u3001\u7528\u4e8e\u5730\u7403\u89c2\u6d4b\u7684\u673a\u5668\u5b66\u4e60<\/p>\n \ud83e\uddea \u5b9e\u9a8c\u5ba4\u81ea\u52a8\u5316 \u2013 \u6db2\u4f53\u5904\u7406\u534f\u8bae\u3001\u5b9e\u9a8c\u5ba4\u8bbe\u5907\u63a7\u5236\u3001\u5de5\u4f5c\u6d41\u81ea\u52a8\u5316\u3001LIMS \u96c6\u6210<\/p>\n \ud83d\udcda \u79d1\u5b66\u4ea4\u6d41 \u2013 \u53ef\u8ffd\u6eaf\u8bc1\u636e\u7684\u5199\u4f5c\u3001\u4fdd\u5bc6\u6388\u6743\u540c\u884c\u8bc4\u5ba1\u3001\u6587\u732e\u7efc\u5408\u3001\u6587\u6863\u5904\u7406\u3001\u65e0\u5b8f PPTX \u6d77\u62a5\u3001\u5e7b\u706f\u7247\u3001\u793a\u610f\u56fe\u548c\u5f15\u7528\u7ba1\u7406<\/p>\n \ud83d\udd2c \u591a\u7ec4\u5b66\u4e0e\u7cfb\u7edf\u751f\u7269\u5b66 \u2013 \u591a\u6a21\u6001\u6570\u636e\u6574\u5408\u3001\u901a\u8def\u5206\u6790\u3001\u7f51\u7edc\u751f\u7269\u5b66\u3001\u7cfb\u7edf\u7ea7\u6d1e\u5bdf<\/p>\n \ud83e\uddec \u86cb\u767d\u8d28\u5de5\u7a0b\u4e0e\u8bbe\u8ba1 \u2013 \u86cb\u767d\u8d28\u8bed\u8a00\u6a21\u578b\u3001\u7ed3\u6784\u9884\u6d4b\u3001\u5e8f\u5217\u8bbe\u8ba1\u3001\u529f\u80fd\u6ce8\u91ca<\/p>\n \ud83e\uddf0 \u667a\u80fd\u4f53\u5e73\u53f0\u4e0e\u57fa\u7840\u8bbe\u65bd \u2013 \u4f7f\u7528 SDK\u3001RPC\u3001\u6269\u5c55\u3001\u81ea\u5b9a\u4e49\u63d0\u4f9b\u5546\/\u6a21\u578b\u3001\u5305\u3001TUI \u7ec4\u4ef6\u548c\u4f1a\u8bdd\u5de5\u5177\u5728 Pi \u4e0a\u6784\u5efa<\/p>\n \ud83c\udf93 \u7814\u7a76\u65b9\u6cd5\u8bba \u2013 \u53d7\u8bc1\u636e\u7ea6\u675f\u7684\u5019\u9009\u5047\u8bbe\u3001\u79d1\u5b66\u5934\u8111\u98ce\u66b4\u3001\u6279\u5224\u6027\u601d\u7ef4\u3001\u8d44\u52a9\u7533\u8bf7\u64b0\u5199\u4ee5\u53ca\u5bf9\u5b66\u672f\u4f5c\u54c1\u7684\u5b9a\u6027\u3001\u4f4e\u98ce\u9669\u8bc4\u4f30<\/p>\n \u2696\ufe0f \u6cd5\u89c4\u4e0e\u6807\u51c6 \u2013 \u4e3a ISO \u7ba1\u7406\u4f53\u7cfb\u4e0e\u5b9e\u9a8c\u5ba4\u6807\u51c6\u8d77\u8349\u8bc1\u636e\u51c6\u5907\u5de5\u4ef6\uff0c\u4ee5\u53ca\u6839\u636e ICH\/USP\/CLSI \u6846\u67b6\u8fdb\u884c\u5206\u6790\u65b9\u6cd5\u9a8c\u8bc1\u3001\u786e\u8ba4\u548c\u8f6c\u79fb\u2014\u2014\u4ec5\u4f9b\u5408\u683c\u4eba\u5458\u5ba1\u9605\uff0c\u7edd\u4e0d\u7b49\u540c\u4e8e\u8ba4\u8bc1\u3001\u8ba4\u53ef\u6216\u65b9\u6cd5\u653e\u884c\u51b3\u7b56<\/p>\n \u5c06\u60a8\u7684 AI \u7f16\u7801\u667a\u80fd\u4f53\u8f6c\u53d8\u4e3a\u684c\u9762\u4e0a\u7684\u2018AI \u79d1\u5b66\u5bb6\u2019\uff01<\/p>\n \ud83c\udfac Scientific Agent Skills \u65b0\u624b\uff1f \u89c2\u770b\u6211\u4eec\u7684 Getting Started with Scientific Agent Skills \u89c6\u9891\uff0c\u5feb\u901f\u4e86\u89e3\u3002<\/p>\n \ud83d\udce6 \u5305\u542b\u5185\u5bb9<\/p>\n \u672c\u4ed3\u5e93\u63d0\u4f9b 158 \u4e2a\u79d1\u5b66\u548c\u7814\u7a76\u6280\u80fd \uff0c\u6309\u4ee5\u4e0b\u7c7b\u522b\u7ec4\u7ec7\uff1a<\/p>\n 100+ \u4e2a\u79d1\u5b66\u548c\u91d1\u878d\u6570\u636e\u5e93 \u2013 \u4e00\u4e2a\u7edf\u4e00\u7684\u6570\u636e\u5e93\u67e5\u627e\u6280\u80fd\u63d0\u4f9b\u786e\u5b9a\u6027\u3001\u6765\u6e90\u4e30\u5bcc\u7684\u8bbf\u95ee\u6743\u9650\uff0c\u53ef\u8bbf\u95ee 78 \u4e2a\u516c\u5171\u6570\u636e\u5e93\uff08PubChem\u3001ChEMBL\u3001UniProt\u3001COSMIC\u3001 ClinicalTrials.gov \u3001FRED\u3001USPTO \u7b49\uff09\uff0c\u4ee5\u53ca\u9488\u5bf9 DepMap\u3001Imaging Data Commons\u3001PrimeKG\u3001\u7f8e\u56fd\u8d22\u653f\u90e8\u8d22\u653f\u6570\u636e\u3001Hugging Science\u3001OneKGPd \u548c Genomic Intelligence \u7684\u4e13\u7528\u6280\u80fd\u3002\u591a\u6570\u636e\u5e93\u5305\u5982 BioServices\uff08\u7ea6 40 \u4e2a\u751f\u7269\u4fe1\u606f\u670d\u52a1\uff09\u3001BioPython\uff08\u901a\u8fc7 Entrez \u8bbf\u95ee 39 \u4e2a NCBI \u5b50\u6570\u636e\u5e93\uff09\u548c gget\uff0820+ \u4e2a\u57fa\u56e0\u7ec4\u5b66\u6570\u636e\u5e93\uff09\u8fdb\u4e00\u6b65\u6269\u5c55\u4e86\u8986\u76d6\u8303\u56f4\u3002<\/p>\n 70+ \u4e2a\u4f18\u5316\u7684 Python \u5305\u6280\u80fd \u2013 \u660e\u786e\u5b9a\u4e49\u3001\u7248\u672c\u611f\u77e5\u7684\u5de5\u4f5c\u6d41\u7a0b\uff0c\u9002\u7528\u4e8e RDKit\u3001Scanpy\u3001PyTorch Lightning\u3001scikit-learn\u3001PyTDC\u3001PathML\u3001pydicom\u3001NeuroKit2\u3001PufferLib\u3001QuTiP\u3001GeoPandas\u3001pymatgen\u3001BioPython\u3001Qiskit\u3001\u5206\u5b50\u52a8\u529b\u5b66\uff08OpenMM\/MDAnalysis\uff09\u7b49\u3002\u667a\u80fd\u4f53\u4ecd\u7136\u53ef\u4ee5\u4f7f\u7528 \u4efb\u4f55 Python \u5305\uff1b\u8fd9\u4e9b\u6280\u80fd\u4e3a\u6240\u5217\u51fa\u7684\u5305\u63d0\u4f9b\u4e86\u66f4\u5f3a\u3001\u66f4\u5b89\u5168\u7684\u6307\u5bfc\u3002<\/p>\n 9 \u4e2a\u79d1\u5b66\u96c6\u6210\u6280\u80fd \u2013 \u660e\u786e\u5b9a\u4e49\u7684\u6280\u80fd\uff0c\u9002\u7528\u4e8e Benchling\u3001DNAnexus\u3001LatchBio\u3001OMERO\u3001 Protocols.io \u3001Open Notebook\u3001Ginkgo Cloud Lab\u3001LabArchives \u548c Opentrons\u3002\u540c\u6837\uff0c\u667a\u80fd\u4f53\u5e76\u4e0d\u9650\u4e8e\u8fd9\u4e9b\u2014\u2014\u4efb\u4f55\u53ef\u4ece Python \u8bbf\u95ee\u7684 API \u6216\u5e73\u53f0\u90fd\u5728\u5176\u80fd\u529b\u8303\u56f4\u5185\uff1b\u8fd9\u4e9b\u6280\u80fd\u662f\u4f18\u5316\u8fc7\u3001\u9884\u6587\u6863\u5316\u7684\u8def\u5f84\u3002<\/p>\n 30+ \u4e2a\u5206\u6790\u4e0e\u4ea4\u6d41\u5de5\u5177 \u2013 \u6587\u732e\u7efc\u8ff0\u3001\u53ef\u8ffd\u6eaf\u8bc1\u636e\u7684\u79d1\u5b66\u5199\u4f5c\u3001\u4fdd\u5bc6\u540c\u884c\u8bc4\u5ba1\u3001\u6587\u6863\u5904\u7406\u3001Paperclip\uff08\u5168\u6587\u8bba\u6587\u3001FDA\/PMDA\/EMA \u7533\u62a5\u6587\u4ef6\u53ca\u4e34\u5e8a\u8bd5\u9a8c\u6ce8\u518c\u4fe1\u606f\uff0c\u5e26\u6709\u884c\u951a\u5b9a\u5f15\u7528\uff09\u3001Paperzilla\u3001Exa Search\u3001\u65e0\u5b8f PPTX \u6d77\u62a5\u3001\u5e7b\u706f\u7247\u3001\u793a\u610f\u56fe\u3001\u4fe1\u606f\u56fe\u3001Mermaid \u56fe\u8868\u7b49\u3002<\/p>\n 10+ \u4e2a\u7814\u7a76\u4e0e\u4e34\u5e8a\u5de5\u5177 \u2013 \u53d7\u8bc1\u636e\u7ea6\u675f\u7684\u5047\u8bbe\u751f\u6210\u3001\u8d44\u52a9\u7533\u8bf7\u64b0\u5199\u3001\u6c47\u603b\u4e34\u5e8a\u51b3\u7b56\u652f\u6301\u7814\u7a76\u3001\u4e34\u5e8a\u533b\u751f\u64b0\u5199\u7684\u6cbb\u7597\u8ba1\u5212\u683c\u5f0f\u5316\u3001PK\/PD \u5efa\u6a21\u4e0e\u4eff\u771f\uff08NCA\u3001\u7fa4\u4f53 PK\u3001\u66b4\u9732-\u53cd\u5e94\u3001\u751f\u7269\u7b49\u6548\u6027\u3001\u9996\u6b21\u4eba\u4f53\u5242\u91cf\uff09\u3001BIDS\u3001ISO \u6807\u51c6\u5c31\u7eea\u8bc1\u636e\u51c6\u5907\uff08ISO 13485\u3001ISO 14971\u3001ISO\/IEC 17025\u3001ISO 15189\uff09\u3001\u5206\u6790\u65b9\u6cd5\u9a8c\u8bc1\u4e0e\u8f6c\u79fb\uff08ICH Q2(R2)\/Q14\u3001ICH M10\u3001USP\u3001CLSI EP\uff09\u3001\u60c5\u666f\u5206\u6790\u4ee5\u53ca\u4f7f\u7528 Autoskill \u4ece\u5de5\u4f5c\u6d41\u6d3e\u751f\u6280\u80fd\u8349\u7a3f\u3002<\/p>\n \u6bcf\u4e2a\u6280\u80fd\u5305\u62ec\uff1a<\/p>\n \u2705 \u5168\u9762\u6587\u6863\uff08 SKILL.md \uff09<\/p>\n \u2705 \u5b9e\u7528\u4ee3\u7801\u793a\u4f8b<\/p>\n \u2705 \u7528\u4f8b\u548c\u6700\u4f73\u5b9e\u8df5<\/p>\n \u2705 \u96c6\u6210\u6307\u5357<\/p>\n \u2705 \u53c2\u8003\u8d44\u6599<\/p>\n \u2705 \u6bcf\u4e2a\u9644\u5e26 scripts\/ \u7684\u6280\u80fd\u90fd\u6709\u6d4b\u8bd5\u5957\u4ef6<\/p>\n \ud83d\ude80 \u4e3a\u4ec0\u4e48\u4f7f\u7528\u5b83\uff1f<\/p>\n \u26a1 \u52a0\u901f\u60a8\u7684\u7814\u7a76<\/p>\n \u8df3\u8fc7 API \u6587\u6863\u7814\u7a76\u548c\u96c6\u6210\u8bbe\u7f6e<\/p>\n \u7ecf\u8fc7\u5ba1\u9605\u7684\u8d77\u70b9 \u2013 \u7ecf\u8fc7\u6d4b\u8bd5\u7684\u793a\u4f8b\uff0c\u5e26\u6709\u660e\u786e\u7684\u9a8c\u8bc1\u3001\u6765\u6e90\u548c\u5b89\u5168\u6027\u8fb9\u754c\uff1b\u5728\u76ee\u6807\u73af\u5883\u4e2d\u9a8c\u8bc1\u5b83\u4eec<\/p>\n \u591a\u6b65\u9aa4\u5de5\u4f5c\u6d41 \u2013 \u901a\u8fc7\u5355\u4e2a\u63d0\u793a\u6267\u884c\u590d\u6742\u7ba1\u9053<\/p>\n \ud83c\udfaf \u5168\u9762\u8986\u76d6<\/p>\n 158 \u4e2a\u6280\u80fd \u2013 \u8986\u76d6\u6240\u6709\u4e3b\u8981\u79d1\u5b66\u9886\u57df\u7684\u5e7f\u6cdb\u8303\u56f4<\/p>\n 100+ \u4e2a\u6570\u636e\u5e93 \u2013 \u901a\u8fc7 database-lookup \u7edf\u4e00\u8bbf\u95ee 78+ \u4e2a\u6570\u636e\u5e93\uff0c\u4ee5\u53ca\u4e13\u7528\u6570\u636e\u8bbf\u95ee\u6280\u80fd\u548c\u591a\u6570\u636e\u5e93\u5305\u5982 BioServices\u3001BioPython \u548c gget<\/p>\n 70+ \u4e2a\u4f18\u5316\u7684 Python \u5305\u6280\u80fd \u2013 \u5f53\u524d\u3001\u7248\u672c\u9650\u5b9a\u7684\u6307\u5bfc\uff0c\u9002\u7528\u4e8e\u5305\u62ec RDKit\u3001Scanpy\u3001PyTorch Lightning\u3001scikit-learn\u3001PyTDC\u3001pydicom\u3001PufferLib\u3001QuTiP\u3001GeoPandas\u3001pymatgen\u3001Qiskit\u3001\u5206\u5b50\u52a8\u529b\u5b66\uff08OpenMM\/MDAnalysis\uff09\u3001scVelo \u548c TimesFM \u7684\u5305\uff08\u667a\u80fd\u4f53\u53ef\u4ee5\u4f7f\u7528\u4efb\u4f55 Python \u5305\uff1b\u8fd9\u4e9b\u662f\u9884\u6587\u6863\u5316\u7684\u8def\u5f84\uff09<\/p>\n \ud83d\udd27 \u8f7b\u677e\u96c6\u6210<\/p>\n \u914d\u7f6e\u5316\u53d1\u73b0 \u2013 \u517c\u5bb9\u7684\u4e3b\u673a\u53ef\u4ee5\u4ece\u5176\u914d\u7f6e\u7684\u6280\u80fd\u8def\u5f84\u4e2d\u67e5\u627e\u548c\u4f7f\u7528\u76f8\u5173\u6280\u80fd<\/p>\n \u6587\u6863\u5b8c\u5584 \u2013 \u6bcf\u4e2a\u6280\u80fd\u90fd\u5305\u542b\u793a\u4f8b\u3001\u7528\u4f8b\u548c\u6700\u4f73\u5b9e\u8df5<\/p>\n \ud83c\udf1f \u7ef4\u62a4\u4e0e\u652f\u6301<\/p>\n \u5b9a\u671f\u66f4\u65b0 \u2013 \u7531 K-Dense \u56e2\u961f\u6301\u7eed\u7ef4\u62a4\u548c\u6269\u5c55<\/p>\n \u793e\u533a\u9a71\u52a8 \u2013 \u5f00\u6e90\uff0c\u62e5\u6709\u6d3b\u8dc3\u7684\u793e\u533a\u8d21\u732e<\/p>\n \u4f01\u4e1a\u5c31\u7eea \u2013 \u53ef\u4e3a\u9ad8\u7ea7\u9700\u6c42\u63d0\u4f9b\u5546\u4e1a\u652f\u6301<\/p>\n \u2699\ufe0f \u524d\u7f6e\u6761\u4ef6<\/p>\n Python \uff1a\u4ed3\u5e93\u5de5\u5177\u9700\u8981 3.13+\uff1b\u5355\u4e2a\u6280\u80fd\u4f9d\u8d56\u9879\u53ef\u80fd\u652f\u6301\u66f4\u5bbd\u7684 Python \u8303\u56f4<\/p>\n uv \uff1aPython \u5305\u7ba1\u7406\u5668\uff08\u5b89\u88c5\u6280\u80fd\u4f9d\u8d56\u9879\u6240\u9700\uff09<\/p>\n \u5ba2\u6237\u7aef \uff1a\u4efb\u4f55\u652f\u6301 Agent Skills \u6807\u51c6\u7684\u667a\u80fd\u4f53\uff08Cursor\u3001Claude Code\u3001Gemini CLI\u3001Codex\u3001Google Antigravity \u7b49\uff09<\/p>\n \u7cfb\u7edf \uff1amacOS\u3001Linux \u6216\u5e26\u6709 WSL2 \u7684 Windows<\/p>\n \u4f9d\u8d56\u9879 \uff1a\u7531\u5355\u4e2a\u6280\u80fd\u81ea\u52a8\u5904\u7406\uff08\u67e5\u770b SKILL.md \u6587\u4ef6\u4e86\u89e3\u5177\u4f53\u8981\u6c42\uff09<\/p>\n \u5b89\u88c5 uv<\/p>\n \u6280\u80fd\u4f7f\u7528 uv \u4f5c\u4e3a\u5305\u7ba1\u7406\u5668\u6765\u5b89\u88c5 Python \u4f9d\u8d56\u9879\u3002\u6839\u636e\u60a8\u7684\u64cd\u4f5c\u7cfb\u7edf\u4f7f\u7528\u4ee5\u4e0b\u8bf4\u660e\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n macOS \u548c Linux\uff1a<\/p>\n curl -LsSf https:\/\/astral.sh\/uv\/install.sh | sh<\/p>\n Windows\uff1a<\/p>\n powershell -ExecutionPolicy ByPass -c "irm https:\/\/astral.sh\/uv\/install.ps1 | iex"<\/p>\n \u66ff\u4ee3\u65b9\u6cd5\uff08\u901a\u8fc7 pip\uff09\uff1a<\/p>\n pip install uv<\/p>\n \u5b89\u88c5\u540e\uff0c\u901a\u8fc7\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u9a8c\u8bc1\u5176\u5de5\u4f5c\uff1a<\/p>\n uv –version<\/p>\n \u6709\u5173\u66f4\u591a\u5b89\u88c5\u9009\u9879\u548c\u8be6\u7ec6\u4fe1\u606f\uff0c\u8bf7\u8bbf\u95ee \u5b98\u65b9 uv \u6587\u6863 \u3002<\/p>\n NemoClaw \u6ce8\u610f\uff1a NemoClaw \u5728 NVIDIA OpenShell \u4e2d\u8fd0\u884c\u667a\u80fd\u4f53\uff0c\u9ed8\u8ba4\u62d2\u7edd\u51fa\u7ad9\u7f51\u7edc\u8fde\u63a5\u3002\u6280\u80fd\u4f1a\u88ab\u6b63\u5e38\u53d1\u73b0\u548c\u52a0\u8f7d\uff0c\u4f46\u4efb\u4f55\u9700\u8981\u7f51\u7edc\u7684\u6280\u80fd\u2014\u2014\u901a\u8fc7 uv \u5b89\u88c5\u5305\uff0c\u6216 API \u8c03\u7528\uff08Exa\u3001Parallel\u3001Benchling\u3001NCBI\u3001Materials Project \u7b49\uff09\u2014\u2014\u53ea\u6709\u5728\u64cd\u4f5c\u5458\u5728 OpenShell TUI \u4e2d\u9884\u5148\u6279\u51c6\u76f8\u5173\u57df\u540e\u624d\u80fd\u5de5\u4f5c\u3002<\/p>\n \u26a0\ufe0f \u5b89\u5168\u514d\u8d23\u58f0\u660e<\/p>\n \u6280\u80fd\u53ef\u4ee5\u6267\u884c\u4ee3\u7801\u5e76\u5f71\u54cd\u60a8\u7684\u7f16\u7801\u667a\u80fd\u4f53\u7684\u884c\u4e3a\u3002\u8bf7\u5ba1\u67e5\u60a8\u5b89\u88c5\u7684\u5185\u5bb9\u3002<\/p>\n Agent Skills \u529f\u80fd\u5f3a\u5927\u2014\u2014\u5b83\u4eec\u53ef\u4ee5\u6307\u793a\u60a8\u7684 AI \u667a\u80fd\u4f53\u8fd0\u884c\u4efb\u610f\u4ee3\u7801\u3001\u5b89\u88c5\u5305\u3001\u53d1\u51fa\u7f51\u7edc\u8bf7\u6c42\u4ee5\u53ca\u4fee\u6539\u60a8\u7cfb\u7edf\u4e0a\u7684\u6587\u4ef6\u3002\u6076\u610f\u6216\u7f16\u5199\u4e0d\u5f53\u7684\u6280\u80fd\u6709\u53ef\u80fd\u5f15\u5bfc\u60a8\u7684\u7f16\u7801\u667a\u80fd\u4f53\u505a\u51fa\u6709\u5bb3\u884c\u4e3a\u3002<\/p>\n \u6211\u4eec\u8ba4\u771f\u5bf9\u5f85\u5b89\u5168\u6027\u3002\u6240\u6709\u8d21\u732e\u90fd\u7ecf\u8fc7\u5ba1\u67e5\u6d41\u7a0b\uff0c\u5e76\u4e14\u6211\u4eec\u5bf9\u6b64\u4ed3\u5e93\u4e2d\u7684\u6bcf\u4e2a\u6280\u80fd\u8fd0\u884c\u57fa\u4e8e LLM \u7684\u5b89\u5168\u626b\u63cf\uff08\u901a\u8fc7 Cisco AI Defense Skill Scanner \uff09\u3002\u7136\u800c\uff0c\u4f5c\u4e3a\u4e00\u4e2a\u56e2\u961f\u89c4\u6a21\u8f83\u5c0f\u4e14\u793e\u533a\u8d21\u732e\u4e0d\u65ad\u589e\u957f\u7684\u9879\u76ee\uff0c\u6211\u4eec\u65e0\u6cd5\u4fdd\u8bc1\u6bcf\u4e2a\u6280\u80fd\u90fd\u5df2\u5bf9\u6240\u6709\u53ef\u80fd\u7684\u98ce\u9669\u8fdb\u884c\u4e86\u8be6\u5c3d\u5ba1\u67e5\u3002<\/p>\n \u6700\u7ec8\uff0c\u60a8\u6709\u8d23\u4efb\u5ba1\u67e5\u60a8\u5b89\u88c5\u7684\u6280\u80fd\u5e76\u51b3\u5b9a\u4fe1\u4efb\u54ea\u4e9b\u3002<\/p>\n \u6211\u4eec\u5efa\u8bae\uff1a<\/p>\n \u4e0d\u8981\u4e00\u6b21\u6027\u5b89\u88c5\u6240\u6709\u5185\u5bb9\u3002 \u53ea\u5b89\u88c5\u60a8\u5b9e\u9645\u5de5\u4f5c\u6240\u9700\u7684\u6280\u80fd\u3002<\/p>\n \u5728\u5b89\u88c5\u524d\u9605\u8bfb SKILL.md \u3002 \u6bcf\u4e2a\u6280\u80fd\u7684\u6587\u6863\u63cf\u8ff0\u4e86\u5b83\u7684\u529f\u80fd\u3001\u4f7f\u7528\u7684\u5305\u4ee5\u53ca\u8fde\u63a5\u7684\u5916\u90e8\u670d\u52a1\u3002\u5982\u679c\u53d1\u73b0\u53ef\u7591\u5185\u5bb9\uff0c\u8bf7\u52ff\u5b89\u88c5\u3002<\/p>\n \u68c0\u67e5\u8d21\u732e\u5386\u53f2\u3002 \u7531 K-Dense\uff08 K-Dense-AI \uff09\u64b0\u5199\u7684\u6280\u80fd\u5df2\u7ecf\u8fc7\u6211\u4eec\u7684\u5185\u90e8\u5ba1\u67e5\u6d41\u7a0b\u3002\u793e\u533a\u8d21\u732e\u7684\u6280\u80fd\u5df2\u5c3d\u6211\u4eec\u6240\u80fd\u8fdb\u884c\u4e86\u5ba1\u67e5\uff0c\u4f46\u8d44\u6e90\u6709\u9650\u3002<\/p>\n \u62a5\u544a\u4efb\u4f55\u53ef\u7591\u5185\u5bb9\u3002 \u5982\u679c\u60a8\u53d1\u73b0\u67d0\u4e2a\u6280\u80fd\u770b\u8d77\u6765\u6076\u610f\u6216\u884c\u4e3a\u5f02\u5e38\uff0c\u8bf7\u7acb\u5373 \u63d0\u4ea4\u95ee\u9898 \uff0c\u4ee5\u4fbf\u6211\u4eec\u8c03\u67e5\u3002<\/p>\n \ud83d\udca1 \u5feb\u901f\u793a\u4f8b<\/p>\n \ud83e\uddea \u836f\u7269\u53d1\u73b0\u7ba1\u9053<\/p>\n \u63d0\u793a\uff1a<\/p>\n \u67e5\u8be2 ChEMBL \u83b7\u53d6 EGFR \u6291\u5236\u5242\uff08IC50 < 50nM\uff09\uff0c\u4f7f\u7528 RDKit \u5206\u6790\u6784\u6548\u5173\u7cfb\uff0c\u4f7f\u7528 datamol \u751f\u6210\u6539\u8fdb\u7684\u7c7b\u4f3c\u7269\uff0c\u4f7f\u7528 DiffDock \u5bf9 AlphaFold EGFR \u7ed3\u6784\u8fdb\u884c\u865a\u62df\u7b5b\u9009\uff0c\u641c\u7d22 PubMed \u5bfb\u627e\u8010\u836f\u673a\u5236\uff0c\u68c0\u67e5 COSMIC \u4e2d\u7684\u7a81\u53d8\uff0c\u5e76\u521b\u5efa\u53ef\u89c6\u5316\u56fe\u8868\u548c\u7efc\u5408\u62a5\u544a\u3002<\/p>\n \u4f7f\u7528\u7684\u6280\u80fd\uff1a database-lookup, rdkit, datamol, diffdock, paper-lookup, scientific-visualization<\/p>\n \ud83d\udd2c \u5355\u7ec6\u80de RNA-seq \u5206\u6790<\/p>\n \u63d0\u793a\uff1a<\/p>\n \u4f7f\u7528 Scanpy \u52a0\u8f7d 10X \u6570\u636e\u96c6\uff0c\u8fdb\u884c QC \u548c\u53cc\u7ec6\u80de\u53bb\u9664\uff0c\u4e0e Cellxgene Census \u6570\u636e\u6574\u5408\uff0c\u4f7f\u7528 NCBI Gene \u6807\u8bb0\u7269\u8bc6\u522b\u7ec6\u80de\u7c7b\u578b\uff0c\u4f7f\u7528 PyDESeq2 \u8fdb\u884c\u5dee\u5f02\u8868\u8fbe\u5206\u6790\uff0c\u4f7f\u7528 Arboreto \u63a8\u65ad\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\uff0c\u901a\u8fc7 Reactome\/KEGG \u8fdb\u884c\u901a\u8def\u5bcc\u96c6\uff0c\u5e76\u4f7f\u7528 Open Targets \u8bc6\u522b\u6cbb\u7597\u9776\u70b9\u3002<\/p>\n \u4f7f\u7528\u7684\u6280\u80fd\uff1a scanpy, cellxgene-census, database-lookup, pydeseq2, arboreto<\/p>\n \ud83e\uddec \u591a\u7ec4\u5b66\u751f\u7269\u6807\u5fd7\u7269\u53d1\u73b0<\/p>\n \u63d0\u793a\uff1a<\/p>\n \u4f7f\u7528 PyDESeq2 \u5206\u6790 RNA-seq\uff0c\u4f7f\u7528 pyOpenMS \u5904\u7406\u8d28\u8c31\u6570\u636e\uff0c\u6574\u5408\u6765\u81ea HMDB\/Metabolomics Workbench \u7684\u4ee3\u8c22\u7269\uff0c\u5c06\u86cb\u767d\u8d28\u6620\u5c04\u5230\u901a\u8def\uff08UniProt\/KEGG\uff09\uff0c\u901a\u8fc7 STRING \u67e5\u627e\u76f8\u4e92\u4f5c\u7528\uff0c\u4f7f\u7528 statsmodels \u5173\u8054\u7ec4\u5b66\u5c42\uff0c\u4f7f\u7528 scikit-learn \u6784\u5efa\u9884\u6d4b\u6a21\u578b\uff0c\u5e76\u641c\u7d22 ClinicalTrials.gov \u5bfb\u627e\u76f8\u5173\u8bd5\u9a8c\u3002<\/p>\n \u4f7f\u7528\u7684\u6280\u80fd\uff1a pydeseq2, pyopenms, database-lookup, statsmodels, scikit-learn<\/p>\n \ud83c\udfaf \u865a\u62df\u7b5b\u9009\u6d3b\u52a8<\/p>\n \u63d0\u793a\uff1a<\/p>\n \u68c0\u7d22 AlphaFold \u7ed3\u6784\uff0c\u4f7f\u7528 BioPython \u8bc6\u522b\u76f8\u4e92\u4f5c\u7528\u754c\u9762\uff0c\u641c\u7d22 ZINC \u5bfb\u627e\u53d8\u6784\u5019\u9009\u7269\uff08MW 300-500\uff0clogP 2-4\uff09\uff0c\u4f7f\u7528 RDKit \u8fc7\u6ee4\uff0c\u4f7f\u7528 DiffDock \u5bf9\u63a5\uff0c\u4f7f\u7528 DeepChem \u6392\u540d\uff0c\u68c0\u67e5 PubChem \u4f9b\u5e94\u5546\uff0c\u641c\u7d22 USPTO \u4e13\u5229\uff0c\u5e76\u4f7f\u7528 MedChem\/molfeat \u4f18\u5316\u5148\u5bfc\u5316\u5408\u7269\u3002<\/p>\n \u4f7f\u7528\u7684\u6280\u80fd\uff1a database-lookup, biopython, rdkit, diffdock, deepchem, medchem, molfeat<\/p>\n \ud83c\udfe5 \u7814\u7a76\u53d8\u5f02\u8bc1\u636e\u5ba1\u9605<\/p>\n \u63d0\u793a\uff1a<\/p>\n \u4ec5\u4f7f\u7528\u6388\u6743\u7684\u5408\u6210\u6216\u53bb\u6807\u8bc6\u5316\u6570\u636e\u3002\u4f7f\u7528 pysam \u89e3\u6790 VCF\uff0c\u4f7f\u7528 Ensembl VEP \u6ce8\u91ca\u53d8\u5f02\uff0c\u68c0\u7d22 ClinVar\/COSMIC\/NCBI Gene\/UniProt \u8bc1\u636e\uff0c\u5e76\u9a8c\u8bc1\u6587\u732e\u6765\u6e90\u3002\u4f7f\u7528 scientific-writing \u6784\u5efa\u53ef\u8ffd\u6eaf\u8bc1\u636e\u7684\u7814\u7a76\u6458\u8981\u3002\u5982\u679c\u4f7f\u7528 clinical-reports\uff0c\u4ec5\u6839\u636e\u5df2\u9a8c\u8bc1\u7684\u6e90\u4e8b\u5b9e\u6e05\u5355\u521b\u5efa\u5e26\u6709\u660e\u663e\u6807\u8bb0\u7684\u8349\u7a3f\u7ed3\u6784\uff0c\u4f9b\u5408\u683c\u4eba\u5458\u5ba1\u9605\uff1b\u4e0d\u8981\u8bca\u65ad\u3001\u8bc4\u4f30\u4e2a\u4f53\u98ce\u9669\u3001\u63a8\u8350\u6cbb\u7597\u6216\u786e\u5b9a\u8bd5\u9a8c\u8d44\u683c\u3002<\/p>\n \u4f7f\u7528\u7684\u6280\u80fd\uff1a pysam, database-lookup, paper-lookup, scientific-writing, clinical-reports<\/p>\n \ud83c\udf10 \u7cfb\u7edf\u751f\u7269\u5b66\u7f51\u7edc\u5206\u6790<\/p>\n \u63d0\u793a\uff1a<\/p>\n \u67e5\u8be2 NCBI Gene \u83b7\u53d6\u6ce8\u91ca\uff0c\u4ece UniProt \u68c0\u7d22\u5e8f\u5217\uff0c\u901a\u8fc7 STRING \u8bc6\u522b\u76f8\u4e92\u4f5c\u7528\uff0c\u6620\u5c04\u5230 Reactome\/KEGG \u901a\u8def\uff0c\u4f7f\u7528 Torch Geometric \u5206\u6790\u62d3\u6251\uff0c\u4f7f\u7528 Arboreto \u91cd\u5efa\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\uff0c\u4f7f\u7528 Open Targets \u8bc4\u4f30\u53ef\u836f\u6027\uff0c\u4f7f\u7528 PyMC \u5efa\u6a21\uff0c\u53ef\u89c6\u5316\u7f51\u7edc\uff0c\u5e76\u5728 GEO \u4e2d\u641c\u7d22\u76f8\u4f3c\u6a21\u5f0f\u3002<\/p>\n \u4f7f\u7528\u7684\u6280\u80fd\uff1a database-lookup, torch-geometric, arboreto, pymc, networkx, scientific-visualization<\/p>\n \ud83d\udcd6 \u60f3\u8981\u66f4\u591a\u793a\u4f8b\uff1f \u67e5\u770b docs\/examples.md \uff0c\u4e86\u89e3\u6db5\u76d6\u6240\u6709\u79d1\u5b66\u9886\u57df\u7684\u5168\u9762\u5de5\u4f5c\u6d41\u793a\u4f8b\u548c\u8be6\u7ec6\u7528\u4f8b\u3002<\/p>\n \ud83d\udd2c \u7528\u4f8b<\/p>\n \ud83e\uddea \u836f\u7269\u53d1\u73b0\u4e0e\u836f\u7269\u5316\u5b66<\/p>\n \u865a\u62df\u7b5b\u9009 \uff1a\u4ece PubChem\/ZINC \u4e2d\u7b5b\u9009\u6570\u767e\u4e07\u4e2a\u5316\u5408\u7269\u5bf9\u6297\u86cb\u767d\u8d28\u9776\u70b9<\/p>\n \u5148\u5bfc\u5316\u5408\u7269\u4f18\u5316 \uff1a\u4f7f\u7528 RDKit \u5206\u6790\u6784\u6548\u5173\u7cfb\uff0c\u4f7f\u7528 datamol \u751f\u6210\u7c7b\u4f3c\u7269<\/p>\n ADMET \u9884\u6d4b \uff1a\u4f7f\u7528 DeepChem \u9884\u6d4b\u5438\u6536\u3001\u5206\u5e03\u3001\u4ee3\u8c22\u3001\u6392\u6cc4\u548c\u6bd2\u6027<\/p>\n \u5206\u5b50\u5bf9\u63a5 \uff1a\u4f7f\u7528 DiffDock \u9884\u6d4b\u7ed3\u5408\u59ff\u52bf\uff0c\u5e76\u4f7f\u7528\u4eb2\u548c\u529b\u5bfc\u5411\u5de5\u5177\u91cd\u65b0\u8bc4\u5206<\/p>\n \u751f\u7269\u6d3b\u6027\u6316\u6398 \uff1a\u67e5\u8be2 ChEMBL \u83b7\u53d6\u5df2\u77e5\u6291\u5236\u5242\u5e76\u5206\u6790 SAR \u6a21\u5f0f<\/p>\n \ud83e\uddec \u751f\u7269\u4fe1\u606f\u5b66\u4e0e\u57fa\u56e0\u7ec4\u5b66<\/p>\n \u5e8f\u5217\u5206\u6790 \uff1a\u4f7f\u7528 BioPython \u548c pysam \u5904\u7406 DNA\/RNA\/\u86cb\u767d\u8d28\u5e8f\u5217<\/p>\n \u5355\u7ec6\u80de\u5206\u6790 \uff1a\u4f7f\u7528 Scanpy \u5206\u6790 10X Genomics \u6570\u636e\uff0c\u8bc6\u522b\u7ec6\u80de\u7c7b\u578b\uff0c\u4f7f\u7528 Arboreto \u63a8\u65ad\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc<\/p>\n \u53d8\u5f02\u6ce8\u91ca \uff1a\u4f7f\u7528 Ensembl VEP \u6ce8\u91ca\u7814\u7a76 VCF \u6587\u4ef6\uff0c\u5e76\u68c0\u7d22 ClinVar \u8bc1\u636e\u4f9b\u5408\u683c\u4eba\u5458\u89e3\u8bfb<\/p>\n \u53d8\u5f02\u6570\u636e\u5e93\u7ba1\u7406 \uff1a\u4f7f\u7528 TileDB-VCF \u6784\u5efa\u53ef\u6269\u5c55\u7684 VCF \u6570\u636e\u5e93\uff0c\u7528\u4e8e\u589e\u91cf\u6837\u672c\u6dfb\u52a0\u3001\u9ad8\u6548\u7fa4\u4f53\u89c4\u6a21\u67e5\u8be2\u548c\u57fa\u56e0\u7ec4\u53d8\u5f02\u6570\u636e\u7684\u538b\u7f29\u5b58\u50a8<\/p>\n \u7fa4\u4f53\u57fa\u56e0\u7ec4\u5b66 \uff1a\u4f7f\u7528 OneKGPd \u67e5\u8be2 3,202 \u4eba GRCh38 \u5343\u4eba\u57fa\u56e0\u7ec4\u961f\u5217\u4e2d\u7684\u53d8\u5f02\u3001\u961f\u5217\u6837\u672c ID \u548c\u4eb2\u7f18\u5173\u7cfb<\/p>\n \u8c03\u63a7\u5e8f\u5217\u6a21\u578b \uff1a\u8fd0\u884c\u6258\u7ba1\u7684 Genomic Intelligence \u542f\u52a8\u5b50\u3001\u526a\u63a5\u3001\u589e\u5f3a\u5b50\u3001\u67d3\u8272\u8d28\u3001\u8868\u8fbe\u548c\u57fa\u56e0\u6ce8\u91ca\u9884\u6d4b\uff0c\u7528\u4e8e\u7814\u7a76\u76ee\u7684\u2014\u2014\u800c\u975e\u4e34\u5e8a\u6216\u8bca\u65ad\u51b3\u7b56<\/p>\n \u75c5\u539f\u4f53\u76d1\u6d4b \uff1a\u901a\u8fc7 GenSpectrum LAPIS API \u8ffd\u8e2a\u5f53\u524d\u6d41\u884c\u7684\u75c5\u6bd2\u8c31\u7cfb\u53ca\u5176\u589e\u957f\u901f\u5ea6\uff08SARS-CoV-2\u3001\u6d41\u611f\u5305\u62ec H5N1\u3001RSV\u3001mpox\u3001\u9ebb\u75b9\u3001\u767b\u9769\u70ed\uff09\uff0c\u5e76\u6d4b\u91cf\u62a5\u544a\u5ef6\u8fdf\u800c\u975e\u5047\u8bbe<\/p>\n \u57fa\u56e0\u53d1\u73b0 \uff1a\u67e5\u8be2 NCBI Gene\u3001UniProt \u548c Ensembl \u83b7\u53d6\u5168\u9762\u57fa\u56e0\u4fe1\u606f<\/p>\n \u7f51\u7edc\u5206\u6790 \uff1a\u901a\u8fc7 STRING \u8bc6\u522b\u86cb\u767d\u8d28-\u86cb\u767d\u8d28\u76f8\u4e92\u4f5c\u7528\uff0c\u6620\u5c04\u5230\u901a\u8def\uff08KEGG\u3001Reactome\uff09<\/p>\n \ud83c\udfe5 \u4e34\u5e8a\u7814\u7a76\u4e0e\u8bc1\u636e\u5de5\u4f5c\u6d41<\/p>\n \u4e34\u5e8a\u8bd5\u9a8c \uff1a\u5206\u6790\u6c47\u603b\u8bd5\u9a8c\u683c\u5c40\u548c\u65b9\u6848\u6807\u51c6\uff0c\u800c\u4e0d\u51b3\u5b9a\u4e2a\u4f53\u8d44\u683c<\/p>\n \u53d8\u5f02\u8bc1\u636e\u5ba1\u9605 \uff1a\u4f7f\u7528 ClinVar\u3001COSMIC \u548c ClinPGx \u6ce8\u91ca\u6388\u6743\u7814\u7a76\u6570\u636e\uff1b\u5408\u683c\u4e13\u4e1a\u4eba\u5458\u4fdd\u7559\u89e3\u8bfb\u8d23\u4efb<\/p>\n \u836f\u7269\u5b89\u5168\u7814\u7a76 \uff1a\u67e5\u8be2 FDA \u6570\u636e\u5e93\u83b7\u53d6\u6c47\u603b\u4e0d\u826f\u4e8b\u4ef6\u3001\u76f8\u4e92\u4f5c\u7528\u548c\u53ec\u56de\u8bc1\u636e<\/p>\n \u4e34\u5e8a\u836f\u7406\u5b66 \uff1a\u4ece\u6d53\u5ea6-\u65f6\u95f4\u6570\u636e\u63a8\u5bfc\u66b4\u9732\u6307\u6807\uff0c\u62df\u5408\u623f\u5ba4\u548c\u7fa4\u4f53 PK \u6a21\u578b\uff0c\u5c06\u66b4\u9732\u4e0e\u6548\u5e94\u5173\u8054\uff0c\u5e76\u8bc4\u4f30\u7ed9\u836f\u65b9\u6848\u3001\u751f\u7269\u7b49\u6548\u6027\u548c\u9996\u6b21\u4eba\u4f53\u5242\u91cf<\/p>\n \u5168\u6587\u8bc1\u636e\u68c0\u7d22 \uff1a\u4f7f\u7528 Paperclip \u7aef\u5230\u7aef\u641c\u7d22\u548c\u9605\u8bfb\u8bba\u6587\u3001\u76d1\u7ba1\u7533\u62a5\u6587\u4ef6\u548c\u8bd5\u9a8c\u8bb0\u5f55\uff0c\u8fd4\u56de\u951a\u5b9a\u5230\u884c\u53f7\u800c\u975e\u6458\u8981\u7684\u5f15\u7528<\/p>\n \u51b3\u7b56\u652f\u6301\u8bc4\u4f30 \uff1a\u51c6\u5907\u5408\u6210\u6216\u6c47\u603b\u8bc4\u4f30\u3001\u8bc1\u636e\u6982\u51b5\u3001\u9690\u79c1\u548c\u6cbb\u7406\u5de5\u4ef6\u2014\u2014\u800c\u975e\u5b9e\u65f6\u4e34\u5e8a\u51b3\u7b56<\/p>\n \u4e34\u5e8a\u533b\u751f\u64b0\u5199\u6587\u6863 \uff1a\u7ed3\u6784\u5316\u5df2\u9a8c\u8bc1\u7684\u6e90\u7ed1\u5b9a\u62a5\u544a\u8349\u7a3f\uff0c\u5e76\u683c\u5f0f\u5316\u5df2\u7531\u6388\u6743\u6267\u4e1a\u4e34\u5e8a\u533b\u751f\u505a\u51fa\u7684\u6cbb\u7597\u51b3\u7b56<\/p>\n \ud83d\udd2c \u591a\u7ec4\u5b66\u4e0e\u7cfb\u7edf\u751f\u7269\u5b66<\/p>\n \u591a\u7ec4\u5b66\u6574\u5408 \uff1a\u7ed3\u5408 RNA-seq\u3001\u86cb\u767d\u8d28\u7ec4\u5b66\u548c\u4ee3\u8c22\u7ec4\u5b66\u6570\u636e<\/p>\n \u901a\u8def\u5206\u6790 \uff1a\u5728 KEGG\/Reactome \u901a\u8def\u4e2d\u5bcc\u96c6\u5dee\u5f02\u8868\u8fbe\u57fa\u56e0<\/p>\n \u7f51\u7edc\u751f\u7269\u5b66 \uff1a\u91cd\u5efa\u57fa\u56e0\u8c03\u63a7\u7f51\u7edc\uff0c\u8bc6\u522b\u67a2\u7ebd\u57fa\u56e0<\/p>\n \u751f\u7269\u6807\u5fd7\u7269\u53d1\u73b0 \uff1a\u6574\u5408\u591a\u7ec4\u5b66\u5c42\u4ee5\u9884\u6d4b\u60a3\u8005\u7ed3\u5c40<\/p>\n \ud83d\udcca \u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316<\/p>\n \u7edf\u8ba1\u5206\u6790 \uff1a\u6267\u884c\u5047\u8bbe\u68c0\u9a8c\u3001\u529f\u6548\u5206\u6790\u548c\u5b9e\u9a8c\u8bbe\u8ba1<\/p>\n \u53ef\u53d1\u8868\u56fe\u8868 \uff1a\u4f7f\u7528 matplotlib \u548c seaborn \u521b\u5efa\u53ef\u53d1\u8868\u8d28\u91cf\u7684\u53ef\u89c6\u5316<\/p>\n \u7f51\u7edc\u53ef\u89c6\u5316 \uff1a\u4f7f\u7528 NetworkX \u53ef\u89c6\u5316\u751f\u7269\u7f51\u7edc<\/p>\n \u62a5\u544a\u751f\u6210 \uff1a\u4f7f\u7528 Scientific Writing \u548c\u6587\u6863\u5de5\u5177\u751f\u6210\u53ef\u8ffd\u6eaf\u8bc1\u636e\u7684\u7814\u7a76\u62a5\u544a\uff1bClinical Reports \u7684\u8f93\u51fa\u4ecd\u4e3a\u660e\u663e\u6807\u8bb0\u7684\u8349\u7a3f\uff0c\u4ec5\u57fa\u4e8e\u5df2\u9a8c\u8bc1\u7684\u5408\u6210\u3001\u53bb\u6807\u8bc6\u5316\u6216\u6c47\u603b\u6e90\u4e8b\u5b9e<\/p>\n \ud83e\uddea \u5b9e\u9a8c\u5ba4\u81ea\u52a8\u5316<\/p>\n \u534f\u8bae\u8bbe\u8ba1 \uff1a\u5728\u53d7\u8fc7\u57f9\u8bad\u7684\u64cd\u4f5c\u5458\u5ba1\u9605\u524d\uff0c\u7f16\u5199\u548c\u4eff\u771f Opentrons \u6216 PyLabRobot \u534f\u8bae<\/p>\n LIMS\/ELN \u96c6\u6210 \uff1a\u51c6\u5907\u9650\u5b9a\u4e86\u8303\u56f4\u7684 Benchling \u548c LabArchives \u64cd\u4f5c\uff0c\u5e76\u660e\u786e\u6388\u6743\u8fdc\u7a0b\u5199\u5165<\/p>\n \u5de5\u4f5c\u6d41\u81ea\u52a8\u5316 \uff1a\u79bb\u7ebf\u9a8c\u8bc1\u548c\u4eff\u771f\u591a\u6b65\u5b9e\u9a8c\u5ba4\u5de5\u4f5c\u6d41\uff1b\u7269\u7406\u6267\u884c\u4fdd\u7559\u5728\u8bbe\u5907\u7279\u5b9a\u7684\u64cd\u4f5c\u5458\u5b89\u5168\u95e8\u4e4b\u540e<\/p>\n \ud83d\udcda \u53ef\u7528\u6280\u80fd<\/p>\n \u672c\u4ed3\u5e93\u5305\u542b 158 \u4e2a\u79d1\u5b66\u548c\u7814\u7a76\u6280\u80fd \uff0c\u6db5\u76d6\u591a\u4e2a\u9886\u57df\u3002\u6bcf\u4e2a\u6280\u80fd\u90fd\u63d0\u4f9b\u9488\u5bf9\u79d1\u5b66\u5e93\u3001\u6570\u636e\u5e93\u548c\u5de5\u5177\u7684\u5168\u9762\u6587\u6863\u3001\u4ee3\u7801\u793a\u4f8b\u548c\u6700\u4f73\u5b9e\u8df5\u3002<\/p>\n \u6ce8\u610f\uff1a \u4e0b\u9762\u5217\u51fa\u7684 Python \u5305\u548c\u96c6\u6210\u6280\u80fd\u662f \u660e\u786e\u5b9a\u4e49 \u7684\u6280\u80fd\u2014\u2014\u7ecf\u8fc7\u6574\u7406\uff0c\u5e76\u9644\u6709\u6587\u6863\u3001\u793a\u4f8b\u548c\u6700\u4f73\u5b9e\u8df5\uff0c\u4ee5\u5b9e\u73b0\u66f4\u5f3a\u3001\u66f4\u53ef\u9760\u7684\u6027\u80fd\u3002\u5b83\u4eec\u4e0d\u662f\u5929\u82b1\u677f\uff1a\u667a\u80fd\u4f53\u53ef\u4ee5\u5b89\u88c5\u548c\u4f7f\u7528 \u4efb\u4f55 Python \u5305\u6216\u8c03\u7528 \u4efb\u4f55 API\uff0c\u5373\u4f7f\u6ca1\u6709\u4e13\u7528\u6280\u80fd\u3002\u5217\u51fa\u7684\u6280\u80fd\u53ea\u662f\u4f7f\u5e38\u89c1\u5de5\u4f5c\u6d41\u66f4\u5feb\u3001\u66f4\u53ef\u9760\u3002<\/p>\n \ud83e\uddec \u751f\u7269\u4fe1\u606f\u5b66\u4e0e\u57fa\u56e0\u7ec4\u5b66 \uff0826 \u4e2a\u6280\u80fd\uff09<\/p>\n RNA-seq \u7ba1\u9053\uff1aBulk RNA-seq\uff08\u7aef\u5230\u7aef FASTQ -> \u8ba1\u6570 -> DE -> \u5bcc\u96c6\u7f16\u6392\u5668\uff09<\/p>\n \u5e8f\u5217\u5206\u6790\uff1aBioPython\u3001pysam\u3001scikit-bio\u3001BioServices<\/p>\n \u5355\u7ec6\u80de\u5206\u6790\uff1aScanpy\u3001AnnData\u3001scvi-tools\u3001scVelo\uff08RNA \u901f\u5ea6\uff09\u3001Arboreto\u3001Cellxgene Census<\/p>\n \u57fa\u56e0\u7ec4\u5de5\u5177\uff1agget\u3001\u5f53\u524d geniml\/Gtars \u533a\u95f4\u5de5\u4f5c\u6d41\u3001deepTools\u3001FlowIO\u3001Polars-Bio\u3001Zarr\u3001TileDB-VCF<\/p>\n \u5750\u6807\u536b\u751f\uff1aGenomic Coordinates\uff08\u5728 BED\/GFF\/GTF\/VCF\/SAM\/WIG \u7ea6\u5b9a\u4e4b\u95f4\u8f6c\u6362\u533a\u95f4\uff0c\u89c4\u8303\u5316\u53d8\u5f02\u8868\u793a\uff0c\u5e76\u6355\u6349 0 \u57fa vs 1 \u57fa\u4ee5\u53ca\u7ec4\u88c5\/\u91cd\u53e0\u7fa4\u547d\u540d\u4e0d\u5339\u914d\uff0c\u4ee5\u514d\u5728\u5206\u6790\u524d\u7834\u574f\u6570\u636e\uff09<\/p>\n \u7fa4\u4f53\u548c\u5e8f\u5217\u667a\u80fd\uff1aOneKGPd\uff08\u4e2a\u4f53\u7ea7\u5343\u4eba\u57fa\u56e0\u7ec4\u961f\u5217\u67e5\u8be2\uff09\u548c Genomic Intelligence\uff08\u6258\u7ba1\u7684\u8c03\u63a7\/\u57fa\u56e0\u8868\u8fbe\u9884\u6d4b\uff1b\u4ec5\u9650\u7814\u7a76\uff09<\/p>\n \u5dee\u5f02\u8868\u8fbe\uff1aPyDESeq2<\/p>\n \u529f\u80fd\u5bcc\u96c6\uff1aPathway Enrichment\uff08ORA\u3001GSEA\/\u9884\u6392\u540d\u3001ssGSEA \u901a\u8fc7 gseapy + g:Profiler\uff1bGO\u3001KEGG\u3001Reactome\u3001WikiPathways\u3001MSigDB\uff09<\/p>\n \u7cfb\u7edf\u53d1\u80b2\u5b66\uff1aETE Toolkit\u3001Phylogenetics\uff08MAFFT\u3001IQ-TREE 2\u3001FastTree\uff09<\/p>\n \ud83e\uddea \u5316\u5b66\u4fe1\u606f\u5b66\u4e0e\u836f\u7269\u53d1\u73b0 \uff0810 \u4e2a\u6280\u80fd\uff09<\/p>\n \u5206\u5b50\u64cd\u4f5c\uff1aRDKit\u3001Datamol\u3001Molfeat<\/p>\n \u6df1\u5ea6\u5b66\u4e60\uff1aDeepChem\u3001TorchDrug<\/p>\n \u5bf9\u63a5\u4e0e\u7b5b\u9009\uff1aDiffDock<\/p>\n \u5206\u5b50\u52a8\u529b\u5b66\uff1aOpenMM + MDAnalysis\uff08MD \u4eff\u771f\u4e0e\u8f68\u8ff9\u5206\u6790\uff09<\/p>\n \u4e91\u91cf\u5b50\u5316\u5b66\uff1aRowan\uff08pKa\u3001\u5bf9\u63a5\u3001\u5171\u6298\u53e0\uff09<\/p>\n \u836f\u7269\u76f8\u4f3c\u6027\uff1aMedChem<\/p>\n \u57fa\u51c6\u6d4b\u8bd5\uff1aPyTDC 1.1.15 \u5728\u5176\u5df2\u9a8c\u8bc1\u7684 CPython 3.11 \u517c\u5bb9\u6027\u6808\u4e0a<\/p>\n \ud83d\udd2c \u86cb\u767d\u8d28\u7ec4\u5b66\u4e0e\u8d28\u8c31\u5206\u6790 \uff082 \u4e2a\u6280\u80fd\uff09<\/p>\n \u8c31\u56fe\u5904\u7406\uff1amatchms\u3001pyOpenMS<\/p>\n \ud83c\udfe5 \u4e34\u5e8a\u7814\u7a76\u4e0e\u8bc1\u636e\u5de5\u4f5c\u6d41 \uff088 \u4e2a\u6280\u80fd\uff09<\/p>\n \u4e34\u5e8a\u6570\u636e\u5e93\uff1a\u901a\u8fc7 Database Lookup\uff08 ClinicalTrials.gov \u3001ClinVar\u3001ClinPGx\u3001COSMIC\u3001FDA\u3001cBioPortal\u3001Monarch \u7b49\uff09<\/p>\n \u4e34\u5e8a\u836f\u7406\u5b66\uff1aPK\/PD \u5efa\u6a21\uff08\u975e\u623f\u5ba4\u5206\u6790\u3001\u623f\u5ba4\u548c\u7fa4\u4f53 PK\u3001\u66b4\u9732-\u53cd\u5e94\u548c Emax\u3001TMDD\u3001PBPK \u5bfc\u5411\u3001\u751f\u7269\u7b49\u6548\u6027\u5305\u62ec RSABE\/ABEL\u3001\u5f02\u901f\u7f29\u653e\u548c\u9996\u6b21\u4eba\u4f53\u5242\u91cf\u3001ICH M12 \u4e0b\u7684 DDI \u9884\u6d4b\u3001\u6d53\u5ea6-QTc \u4ee5\u53ca\u8d1d\u53f6\u65af\u6cbb\u7597\u836f\u7269\u76d1\u6d4b\u2014\u2014stdlib + numpy\/scipy\uff0c\u4e0d\u8c03\u7528\u4e13\u6709\u4f30\u8ba1\u8f6f\u4ef6\uff09<\/p>\n \u764c\u75c7\u57fa\u56e0\u7ec4\u5b66\uff1aDepMap\uff08\u764c\u75c7\u4f9d\u8d56\u8bc4\u5206\u3001\u836f\u7269\u654f\u611f\u6027\uff09<\/p>\n \u764c\u75c7\u5f71\u50cf\uff1aImaging Data Commons\uff08\u901a\u8fc7 idc-index \u8bbf\u95ee NCI \u653e\u5c04\u5b66\u548c\u75c5\u7406\u5b66\u6570\u636e\u96c6\uff09<\/p>\n \u533b\u7597 AI \u7814\u7a76\uff1aPyHealth<\/p>\n \u51b3\u7b56\u652f\u6301\u7814\u7a76\uff1a\u4ec5\u9650\u672c\u5730\u3001\u6c47\u603b\u6216\u5408\u6210\u4e34\u5e8a\u51b3\u7b56\u652f\u6301\u8bc4\u4f30\u548c\u6cbb\u7406\u5de5\u4ef6<\/p>\n \u4e34\u5e8a\u6587\u6863\uff1a\u6e90\u7ed1\u5b9a Clinical Reports \u8349\u7a3f\u548c\u5e26 Treatment Plans \u7684\u5df2\u9a8c\u8bc1\u4e34\u5e8a\u533b\u751f\u64b0\u5199\u51b3\u7b56\u7684\u683c\u5f0f\u5316\uff1b\u8fd9\u4e24\u4e2a\u6280\u80fd\u5747\u4e0d\u8bca\u65ad\u6216\u63a8\u8350\u62a4\u7406<\/p>\n \ud83d\uddbc\ufe0f \u533b\u5b66\u5f71\u50cf\u4e0e\u6570\u5b57\u75c5\u7406\u5b66 \uff083 \u4e2a\u6280\u80fd\uff09<\/p>\n DICOM \u5904\u7406\uff1apydicom 3.0.2\uff0c\u5e26\u6709\u9690\u79c1\u4f18\u5148\u7684\u672c\u5730\u9884\u68c0\uff0c\u4e0d\u58f0\u79f0\u8bca\u65ad\u6216\u53bb\u6807\u8bc6\u5316\u5408\u89c4\u6027<\/p>\n \u5168\u5207\u7247\u6210\u50cf\uff1ahistolab \u548c\u4ec5\u9650\u7814\u7a76\u7684 PathML 3.0.5<\/p>\n \ud83e\udde0 \u795e\u7ecf\u79d1\u5b66\u4e0e\u7535\u751f\u7406\u5b66 \uff083 \u4e2a\u6280\u80fd\uff09<\/p>\n \u6570\u636e\u6807\u51c6\uff1aBIDS\uff08\u795e\u7ecf\u79d1\u5b66\u548c\u751f\u7269\u533b\u5b66\u6570\u636e\u96c6\u7684\u8111\u6210\u50cf\u6570\u636e\u7ed3\u6784\uff09<\/p>\n \u795e\u7ecf\u8bb0\u5f55\uff1aNeuropixels-Analysis\uff08\u7ec6\u80de\u5916\u5c16\u5cf0\u3001\u7845\u63a2\u9488\u3001\u5c16\u5cf0\u6392\u5e8f\uff09<\/p>\n \u751f\u7406\u4fe1\u53f7\uff1aNeuroKit2 0.2.13\uff0c\u7528\u4e8e\u53ef\u91cd\u590d\u7684\u7814\u7a76\u5de5\u4f5c\u6d41\u2014\u2014\u4e0d\u7528\u4e8e\u8bca\u65ad\u3001\u76d1\u6d4b\u51b3\u7b56\u6216\u533b\u7597\u8bbe\u5907\u9a8c\u8bc1<\/p>\n \ud83e\udd16 \u673a\u5668\u5b66\u4e60\u4e0e AI \uff0814 \u4e2a\u6838\u5fc3\u6280\u80fd\uff09<\/p>\n \u6df1\u5ea6\u5b66\u4e60\uff1aPyTorch Lightning\u3001Transformers\u3001Stable Baselines3 \u4ee5\u53ca\u7248\u672c\u5206\u79bb\u7684 PufferLib 3.0\/4.0 \u5de5\u4f5c\u6d41<\/p>\n \u7ecf\u5178 ML\uff1ascikit-learn\u3001scikit-survival 0.28 \u548c SHAP<\/p>\n \u65f6\u95f4\u5e8f\u5217\uff1aaeon\u3001TimesFM\uff08Google \u7684\u96f6\u6837\u672c\u5355\u53d8\u91cf\u9884\u6d4b\u57fa\u7840\u6a21\u578b\uff09<\/p>\n \u8d1d\u53f6\u65af\u65b9\u6cd5\uff1aPyMC<\/p>\n \u4f18\u5316\uff1aPyMOO<\/p>\n \u56fe ML\uff1aTorch Geometric<\/p>\n \u964d\u7ef4\uff1aUMAP-learn<\/p>\n \u7edf\u8ba1\u5efa\u6a21\uff1astatsmodels<\/p>\n \ud83d\udd2e \u6750\u6599\u79d1\u5b66\u3001\u5316\u5b66\u4e0e\u7269\u7406\u5b66 \uff087 \u4e2a\u6280\u80fd\uff09<\/p>\n \u6750\u6599\uff1a\u5f53\u524d\u62c6\u5206\u7684 pymatgen \u5305\u88c5\u5668\/\u6838\u5fc3\uff0c\u52a0\u4e0a\u660e\u786e\u9650\u5b9a\u7684 Materials Project \u67e5\u8be2<\/p>\n \u4ee3\u8c22\u5efa\u6a21\uff1aCOBRApy<\/p>\n \u5929\u6587\u5b66\uff1aAstropy<\/p>\n \u91cf\u5b50\u8ba1\u7b97\uff1aCirq\u3001PennyLane\u3001Qiskit\u3001QuTiP 5.3<\/p>\n \u2699\ufe0f \u5de5\u7a0b\u4e0e\u4eff\u771f \uff085 \u4e2a\u6280\u80fd\uff09<\/p>\n \u6570\u503c\u8ba1\u7b97\uff1a\u4e13\u6709 MATLAB R2026a \u548c\u72ec\u7acb\u7684 GNU Octave 11.3 \u89c4\u5212\/\u5ba1\u9605\u5de5\u4f5c\u6d41<\/p>\n \u8ba1\u7b97\u6d41\u4f53\u52a8\u529b\u5b66\uff1a\u9650\u5b9a\u8303\u56f4\u7684 FluidSim 0.9 \u4eff\u771f\uff0c\u5e26\u6709\u6570\u503c\u6709\u6548\u6027\u548c HPC \u68c0\u67e5<\/p>\n \u5b9e\u9a8c\u6d41\u91cf\u6d4b\u91cf\uff1aOpenPIV\uff08\u6765\u81ea PIV \u56fe\u50cf\u5bf9\u7684\u901f\u5ea6\u573a\u3001\u8be2\u95ee\u7a97\u53e3\u4e92\u76f8\u5173\u3001\u865a\u5047\u5411\u91cf\u9a8c\u8bc1\u3001\u6da1\u5ea6\/\u5e94\u53d8\u7387\/\u6e4d\u6d41\u7edf\u8ba1\uff09<\/p>\n \u79bb\u6563\u4e8b\u4ef6\u4eff\u771f\uff1aSimPy 4.1.2\uff0c\u5e26\u6709\u590d\u5236\u3001\u9884\u70ed\u548c\u8f93\u51fa\u5206\u6790\u6307\u5bfc<\/p>\n \u7b26\u53f7\u6570\u5b66\uff1aSymPy<\/p>\n \ud83d\udcca \u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316 \uff0822 \u4e2a\u6280\u80fd\uff09<\/p>\n \u53ef\u89c6\u5316\uff1aMatplotlib\u3001Seaborn\u3001Scientific Visualization<\/p>\n \u5730\u7406\u7a7a\u95f4\u5206\u6790\uff1aGeoPandas 1.1.4 \u548c GeoMaster\uff08\u9065\u611f\u3001GIS\u3001\u536b\u661f\u56fe\u50cf\u3001\u7a7a\u95f4 ML\uff0c500+ \u793a\u4f8b\uff09<\/p>\n \u6570\u636e\u5904\u7406\uff1aDask\u3001Polars\u3001Vaex<\/p>\n \u7f51\u7edc\u5206\u6790\uff1aNetworkX<\/p>\n \u6587\u6863\u5904\u7406\uff1aLiteParse\uff08\u672c\u5730 PDF\/\u6587\u6863\u89e3\u6790\uff0c\u5e26\u6709\u8fb9\u754c\u6846\u548c OCR\uff09\u3001MarkItDown\u3001PDF\u3001DOCX\u3001PPTX \u548c XLSX<\/p>\n \u4fe1\u606f\u56fe\uff1aInfographics\uff08AI \u9a71\u52a8\u7684\u4e13\u4e1a\u4fe1\u606f\u56fe\u521b\u5efa\uff09<\/p>\n \u56fe\u8868\uff1aMarkdown & Mermaid Writing\uff08\u57fa\u4e8e\u6587\u672c\u7684\u56fe\u8868\u4f5c\u4e3a\u9ed8\u8ba4\u6587\u6863\u6807\u51c6\uff09<\/p>\n \u63a2\u7d22\u6027\u6570\u636e\u5206\u6790\uff1a\u5bf9\u660e\u786e\u652f\u6301\u683c\u5f0f\u7684\u9650\u5b9a\u8303\u56f4\u672c\u5730 EDA\uff0c\u672a\u77e5\u683c\u5f0f\u5219\u5931\u8d25\u5173\u95ed<\/p>\n \u7edf\u8ba1\u5206\u6790\uff1aStatistical Analysis \u5de5\u4f5c\u6d41<\/p>\n \u5355\u4f4d\u548c\u6d4b\u91cf\u4e0d\u786e\u5b9a\u5ea6\uff1aUncertainty & Units\uff08pint \u7ef4\u5ea6\u68c0\u67e5\u3001GUM \u4e0d\u786e\u5b9a\u5ea6\u9884\u7b97\u3001A\/B \u7c7b\u8bc4\u4f30\u3001\u8986\u76d6\u56e0\u5b50\u548c\u6269\u5c55\u4e0d\u786e\u5b9a\u5ea6\u3001\u8499\u7279\u5361\u6d1b\u4f20\u64ad\u3001CODATA \u5e38\u6570\uff09<\/p>\n \u5b9e\u9a8c\u8bbe\u8ba1\uff1aExperimental Design\uff08\u968f\u673a\u5316\u3001\u533a\u7ec4\u3001\u6790\u56e0\/\u90e8\u5206\u6790\u56e0 DOE\u3001\u4ea4\u53c9\u3001\u805a\u7c7b\u3001\u5e8f\u8d2f\u8bbe\u8ba1\uff1bpyDOE3\uff09<\/p>\n \u7edf\u8ba1\u529f\u6548\uff1aStatistical Power\uff08t \u68c0\u9a8c\u3001ANOVA\u3001\u6bd4\u4f8b\u3001\u76f8\u5173\u6027\u3001\u56de\u5f52\u7684\u6837\u672c\u91cf\u548c\u529f\u6548\u2014\u2014\u5c01\u95ed\u5f62\u5f0f\u52a0\u4e0a\u9002\u7528\u4e8e GLM\u3001\u6df7\u5408\u6a21\u578b\u548c\u805a\u7c7b\u8bbe\u8ba1\u7684\u57fa\u4e8e\u4eff\u771f\u7684\u65b9\u6cd5\uff09<\/p>\n \ud83e\uddea \u5b9e\u9a8c\u5ba4\u81ea\u52a8\u5316 \uff086 \u4e2a\u6280\u80fd\uff09<\/p>\n \u6db2\u4f53\u5904\u7406\uff1a\u79bb\u7ebf\u4f18\u5148\u7684 PyLabRobot \u89c4\u5212\/\u4eff\u771f\u548c Opentrons \u7f16\u5199\uff0c\u7269\u7406\u6267\u884c\u5728\u663e\u5f0f\u64cd\u4f5c\u5458\u5b89\u5168\u95e8\u4e4b\u540e<\/p>\n \u4e91\u5b9e\u9a8c\u5ba4\uff1aGinkgo Cloud Lab\uff08\u65e0\u7ec6\u80de\/E. coli\/Pichia \u4e2d\u7684\u86cb\u767d\u8d28\u8868\u8fbe\u548c\u7eaf\u5316\u3001IVT RNA \u5408\u6210\u3001\u70ed\u4f4d\u79fb\u548c Echo-MS \u5206\u6790\u3001SPR \u5165\u95e8\u3001\u901a\u8fc7\u81ea\u4e3b RAC \u57fa\u7840\u8bbe\u65bd\u7684\u8367\u5149\u50cf\u7d20\u827a\u672f\uff09<\/p>\n \u534f\u8bae\u7ba1\u7406\uff1a\u5bf9\u5df2\u8bb0\u5f55\u7684 v3\/v4 \u7aef\u70b9\u7684\u9650\u5b9a\u8303\u56f4 protocols.io \u8bfb\u53d6\u548c\u975e\u6267\u884c\u5199\u5165\u8ba1\u5212<\/p>\n LIMS\/ELN \u96c6\u6210\uff1aBenchling \u548c\u72ec\u7acb\u7684 LabArchives \u65e7\u7248 ELN \u548c Inventory v1 API<\/p>\n \ud83d\udd2c \u591a\u7ec4\u5b66\u4e0e\u7cfb\u7edf\u751f\u7269\u5b66 \uff083 \u4e2a\u6280\u80fd\uff09<\/p>\n \u901a\u8def\u5206\u6790\uff1a\u901a\u8fc7 Database Lookup\uff08KEGG\u3001Reactome\u3001STRING\uff09\u548c PrimeKG<\/p>\n \u6570\u636e\u7ba1\u7406\uff1aLaminDB<\/p>\n \ud83e\uddec \u86cb\u767d\u8d28\u5de5\u7a0b\u4e0e\u8bbe\u8ba1 \uff084 \u4e2a\u6280\u80fd\uff09<\/p>\n \u86cb\u767d\u8d28\u8bed\u8a00\u6a21\u578b\uff1aESM<\/p>\n \u7cd6\u5de5\u7a0b\uff1aGlycoengineering\uff08N\/O-\u7cd6\u57fa\u5316\u9884\u6d4b\u3001\u6cbb\u7597\u6027\u6297\u4f53\u4f18\u5316\uff09<\/p>\n \u4e91\u5b9e\u9a8c\u5ba4\u5e73\u53f0\uff1aAdaptyv\uff08\u81ea\u52a8\u5316\u86cb\u767d\u8d28\u6d4b\u8bd5\u548c\u9a8c\u8bc1\uff09<\/p>\n \u4e91\u7ed3\u6784\u4e0e\u8bbe\u8ba1\u5e73\u53f0\uff1aTamarind\uff08\u901a\u8fc7 REST API \u6216 MCP \u7ba1\u7406 GPU \u8bbf\u95ee AlphaFold\u3001Boltz\u3001Chai\u3001ESMFold\u3001RFdiffusion\u3001ProteinMPNN\u3001BoltzGen\u3001\u6297\u4f53\/\u7eb3\u7c73\u6297\u4f53\u8bbe\u8ba1\u3001DiffDock\/Vina \u5bf9\u63a5\u3001\u7ed3\u5408\u4eb2\u548c\u529b\u548c MSA \u751f\u6210\uff09<\/p>\n \ud83d\udcda \u79d1\u5b66\u4ea4\u6d41 \uff0827 \u4e2a\u6280\u80fd\uff09<\/p>\n \u6587\u732e\uff1aPaper Lookup\uff08PubMed\u3001PMC\u3001bioRxiv\u3001medRxiv\u3001arXiv\u3001OpenAlex\u3001Crossref\u3001Semantic Scholar\u3001CORE\u3001Unpaywall\uff09\u3001Literature Review\u3001Paperzilla<\/p>\n \u5168\u6587\u8bed\u6599\u5e93\u8bbf\u95ee\uff1aPaperclip\uff08\u53ea\u8bfb\u865a\u62df\u6587\u4ef6\u7cfb\u7edf\uff0c\u8986\u76d6\u7ea6 1100 \u4e07\u7bc7\u5168\u6587\u8bba\u6587\u3001217K+ \u4efd FDA\/PMDA\/EMA \u76d1\u7ba1\u6587\u6863\u3001\u4e34\u5e8a\u8bd5\u9a8c\u6ce8\u518c\u4fe1\u606f\u4ee5\u53ca UniProt\/PDB\/ChEMBL \u6761\u76ee\u2014\u2014\u6e90\u8303\u56f4\u8bed\u4e49\u641c\u7d22\u3001\u8bed\u6599\u5e93\u8303\u56f4 grep\u3001SQL \u5143\u6570\u636e\u67e5\u8be2\u3001\u8de8\u591a\u7bc7\u8bba\u6587\u7684 map\/reduce \u9605\u8bfb\u3001\u56fe\u8868\u89c6\u89c9\u5206\u6790\u548c\u884c\u951a\u5b9a\u5f15\u7528\uff09<\/p>\n \u9ad8\u7ea7\u8bba\u6587\u641c\u7d22\uff1aBGPT Paper Search\uff08\u6bcf\u7bc7\u8bba\u6587 25+ \u4e2a\u7ed3\u6784\u5316\u5b57\u6bb5\u2014\u2014\u65b9\u6cd5\u3001\u7ed3\u679c\u3001\u6837\u672c\u91cf\u3001\u8d28\u91cf\u8bc4\u5206\u2014\u2014\u6765\u81ea\u5168\u6587\uff0c\u800c\u975e\u4ec5\u6458\u8981\uff09<\/p>\n \u7f51\u7edc\u667a\u80fd\uff1aParallel Web\uff08\u7f51\u7edc\u641c\u7d22\u3001URL\/PDF \u63d0\u53d6\u3001\u6df1\u5ea6\u7814\u7a76\u3001\u7ed3\u6784\u5316\u4e30\u5bcc\u3001\u5b9e\u4f53\u53d1\u73b0\u548c\u5b9a\u671f\u76d1\u63a7\uff09\u3001Exa Search \u548c Research Lookup<\/p>\n \u7814\u7a76\u7b14\u8bb0\u672c\uff1aOpen Notebook\uff08\u81ea\u6258\u7ba1 NotebookLM \u66ff\u4ee3\u54c1\u2014\u2014PDF\u3001\u89c6\u9891\u3001\u97f3\u9891\u3001\u7f51\u9875\uff1b16+ \u4e2a AI \u63d0\u4f9b\u5546\uff1b\u591a\u8bf4\u8bdd\u8005\u64ad\u5ba2\u751f\u6210\uff09<\/p>\n \u5199\u4f5c\uff1a\u53ef\u8ffd\u6eaf\u8bc1\u636e\u7684 Scientific Writing \u548c\u672c\u5730\u3001\u4fdd\u5bc6\u3001\u6388\u6743\u7684 Peer Review<\/p>\n \u6587\u6863\u5904\u7406\uff1aLiteParse\u3001PDF\u3001DOCX\u3001PPTX\u3001XLSX \u548c MarkItDown<\/p>\n \u51fa\u7248\u548c\u8bba\u6587\u5de5\u4f5c\u6d41\uff1aVenue Templates<\/p>\n \u6f14\u793a\u6587\u7a3f\uff1aScientific Slides\u3001LaTeX Posters \u4ee5\u53ca\u4ece\u4f5c\u8005\u6279\u51c6\u7684\u672c\u5730\u6e05\u5355\u751f\u6210\u7684\u65e0\u5b8f PPTX Posters<\/p>\n \u56fe\u8868\uff1aScientific Schematics\u3001Markdown & Mermaid Writing<\/p>\n \u4fe1\u606f\u56fe\uff1aInfographics\uff0810 \u79cd\u7c7b\u578b\u30018 \u79cd\u98ce\u683c\u3001\u8272\u76f2\u5b89\u5168\u8c03\u8272\u677f\uff09<\/p>\n \u5f15\u7528\uff1aCitation Management\u3001pyzotero<\/p>\n \u63d2\u56fe\uff1aGenerate Image\uff08\u4f7f\u7528 FLUX.2 Pro \u548c Gemini 3.1 Flash Image \/ Nano Banana 2 \u8fdb\u884c AI \u56fe\u50cf\u751f\u6210\uff09<\/p>\n \ud83d\udd2c \u79d1\u5b66\u6570\u636e\u5e93\u4e0e\u6570\u636e\u8bbf\u95ee \uff0810 \u4e2a\u6280\u80fd \u2192 \u603b\u8ba1 100+ \u4e2a\u6570\u636e\u5e93\uff09<\/p>\n \u7edf\u4e00\u8bbf\u95ee\uff1aDatabase Lookup\uff0878 \u4e2a\u6570\u636e\u5e93\uff0c\u6db5\u76d6\u5316\u5b66\u3001\u57fa\u56e0\u7ec4\u5b66\u3001\u4e34\u5e8a\u3001\u901a\u8def\u3001\u4e13\u5229\u3001\u7ecf\u6d4e\u5b66\u7b49\u2014\u2014PubChem\u3001ChEMBL\u3001UniProt\u3001PDB\u3001AlphaFold\u3001KEGG\u3001Reactome\u3001STRING\u3001ClinVar\u3001COSMIC\u3001 ClinicalTrials.gov \u3001FDA\u3001FRED\u3001USPTO\u3001SEC EDGAR \u7b49\u6570\u5341\u4e2a\u2014\u2014\u5e26\u6709\u53ef\u5ba1\u8ba1\u7684\u8fc7\u6ee4\u5668\u548c\u6765\u6e90\uff09<\/p>\n \u764c\u75c7\u57fa\u56e0\u7ec4\u5b66\uff1aDepMap\uff08\u764c\u7ec6\u80de\u7cfb\u4f9d\u8d56\u5173\u7cfb\u3001\u836f\u7269\u654f\u611f\u6027\u3001\u57fa\u56e0\u6548\u5e94\u8c31\uff09<\/p>\n \u764c\u75c7\u5f71\u50cf\uff1aImaging Data Commons\uff08\u901a\u8fc7 idc-index \u8bbf\u95ee NCI \u653e\u5c04\u5b66\u548c\u75c5\u7406\u5b66\u6570\u636e\u96c6\uff09<\/p>\n \u77e5\u8bc6\u56fe\u8c31\uff1aPrimeKG\uff08\u7cbe\u51c6\u533b\u5b66\u77e5\u8bc6\u56fe\u8c31\u2014\u2014\u57fa\u56e0\u3001\u836f\u7269\u3001\u75be\u75c5\u3001\u8868\u578b\uff09<\/p>\n \u8d22\u653f\u6570\u636e\uff1a\u7f8e\u56fd\u8d22\u653f\u90e8\u8d22\u653f\u6570\u636e\uff08\u56fd\u5bb6\u503a\u52a1\u3001\u8d22\u653f\u90e8\u62a5\u8868\u3001\u62cd\u5356\u3001\u6c47\u7387\uff09<\/p>\n \u79d1\u5b66 ML \u8d44\u6e90\u76ee\u5f55\uff1aHugging Science\uff08\u8de8 17 \u4e2a\u79d1\u5b66\u9886\u57df\u7684\u6570\u636e\u96c6\u3001\u6a21\u578b\u3001\u535a\u6587\u548c\u4ea4\u4e92\u5f0f Spaces \u7684\u7cbe\u9009\u7d22\u5f15\u2014\u2014\u5929\u6587\u5b66\u3001\u751f\u7269\u5b66\u3001\u5316\u5b66\u3001\u6c14\u5019\u3001\u57fa\u56e0\u7ec4\u5b66\u3001\u6750\u6599\u79d1\u5b66\u3001\u533b\u5b66\u3001\u7269\u7406\u5b66\u3001\u79d1\u5b66\u63a8\u7406\u7b49\u2014\u2014\u4ee5\u53ca datasets \u3001 transformers \u548c gradio_client \u7684\u4f7f\u7528\u6a21\u5f0f\uff09<\/p>\n \u4e2a\u4f53\u7ea7\u7fa4\u4f53\u57fa\u56e0\u7ec4\u5b66\uff1aOneKGPd\uff083,202 \u4eba\u9ad8\u8986\u76d6\u5ea6\u5343\u4eba\u57fa\u56e0\u7ec4\u961f\u5217\u67e5\u8be2\uff09<\/p>\n \u6258\u7ba1\u8c03\u63a7\u57fa\u56e0\u7ec4\u5b66\uff1aGenomic Intelligence\uff08\u542f\u52a8\u5b50\u3001\u526a\u63a5\u3001\u589e\u5f3a\u5b50\u3001\u67d3\u8272\u8d28\u3001\u8868\u8fbe\u548c\u57fa\u56e0\u6ce8\u91ca\u9884\u6d4b\uff0c\u7528\u4e8e\u7814\u7a76\u7528\u9014\uff09<\/p>\n \u672c\u4f53\u6807\u8bc6\u7b26\uff1aOntology Term Resolution\uff08\u5c06\u81ea\u7531\u6587\u672c\u7684\u7ec4\u7ec7\u3001\u7ec6\u80de\u7c7b\u578b\u3001\u75be\u75c5\u3001\u8868\u578b\u3001\u5206\u6790\u3001\u5316\u5b66\u7269\u8d28\u3001\u751f\u7269\u4f53\u548c\u53d1\u80b2\u9636\u6bb5\u6807\u7b7e\u89e3\u6790\u4e3a\u672f\u8bed ID\uff0c\u5e76\u9488\u5bf9 EBI OLS4 \u9a8c\u8bc1 CURIEs\uff0c\u7528\u4e8e GEO\/ENA\/BioSamples\/CELLxGENE\/HCA\/ISA-Tab \u5143\u6570\u636e\uff09<\/p>\n \u5b9e\u65f6\u75c5\u539f\u4f53\u76d1\u6d4b\uff1aPathogen Variant Surveillance\uff08\u5f53\u524d\u6d41\u884c\u7684\u75c5\u6bd2\u8c31\u7cfb\u3001\u5176\u589e\u957f\u901f\u5ea6\u4ee5\u53ca\u643a\u5e26\u7684\u7a81\u53d8\u2014\u2014SARS-CoV-2\u3001\u6d41\u611f\u5305\u62ec H5N1\u3001RSV\u3001mpox\u3001\u9ebb\u75b9\u3001\u767b\u9769\u70ed\u7b49\uff0c\u901a\u8fc7 GenSpectrum LAPIS API\uff0c\u8c31\u7cfb\u540d\u79f0\u6839\u636e\u5b9e\u65f6 pango-designation \u547d\u540d\u6cd5\u89e3\u6790\uff0c\u5e76\u6d4b\u91cf\u62a5\u544a\u5ef6\u8fdf\u800c\u975e\u5047\u8bbe\uff09<\/p>\n \ud83d\udd27 \u57fa\u7840\u8bbe\u65bd\u4e0e\u5e73\u53f0 \uff0811 \u4e2a\u6280\u80fd\uff09<\/p>\n \u4e91\u8ba1\u7b97\uff1aModal<\/p>\n GPU \u52a0\u901f\uff1aOptimize for GPU\uff08CuPy\u3001Numba CUDA\u3001Warp\u3001cuDF\u3001cuML\u3001cuGraph\u3001KvikIO\u3001cuCIM\u3001cuxfilter\u3001cuVS\u3001cuSpatial\u3001RAFT\uff09<\/p>\n \u57fa\u56e0\u7ec4\u5b66\u5e73\u53f0\uff1aDNAnexus\u3001LatchBio<\/p>\n \u5de5\u4f5c\u6d41\u5f15\u64ce\uff1aNextflow\uff08\u6784\u5efa\/\u8fd0\u884c\/\u8c03\u8bd5 Nextflow \u548c nf-core \u7ba1\u9053\u2014\u2014DSL2 \u6a21\u5757\u3001\u6267\u884c\u5668\/\u5bb9\u5668\u3001HPC\/\u4e91\u6269\u5c55\uff09\u548c pacsomatic\uff08\u7528\u4e8e nf-core\/pacsomatic \u80bf\u7624-\u6b63\u5e38\u4f53\u7ec6\u80de\u53d8\u5f02\u8c03\u7528\u5de5\u4f5c\u6d41\u7684\u64cd\u4f5c\u5458\u5de5\u5177\u5305\uff09<\/p>\n \u663e\u5fae\u955c\uff1aOMERO<\/p>\n \u81ea\u52a8\u5316\uff1aOpentrons<\/p>\n \u8d44\u6e90\u68c0\u6d4b\uff1aGet Available Resources \u5728\u8bf7\u6c42\u65f6\u6216\u5728\u660e\u786e\u8d44\u6e90\u654f\u611f\u7684\u672c\u5730\u5de5\u4f5c\u8d1f\u8f7d\u4e4b\u524d\u8c03\u7528\uff1b\u7ecf\u8fc7\u7f16\u8f91\uff0c\u65e0\u538b\u529b\u6d4b\u8bd5<\/p>\n \u5de5\u4f5c\u6d41\u6316\u6398\uff1aAutoskill\uff08\u57fa\u4e8e\u672c\u5730 screenpipe \u7684\u91cd\u590d\u5de5\u4f5c\u6d41\u68c0\u6d4b\u548c\u6280\u80fd\u8349\u7a3f\u751f\u6210\uff09<\/p>\n \u667a\u80fd\u4f53\u5e73\u53f0\u5f00\u53d1\uff1aPi Agent\uff08\u5c06 Pi \u7528\u4f5c\u7ec8\u7aef\u7f16\u7801\u5de5\u5177\uff0c\u5e76\u5728\u6b64\u57fa\u7840\u4e0a\u4f7f\u7528 SDK\u3001RPC\/JSONL\u3001\u6269\u5c55\u3001\u81ea\u5b9a\u4e49\u63d0\u4f9b\u5546\/\u6a21\u578b\u3001\u5305\u3001TUI \u7ec4\u4ef6\u548c\u4f1a\u8bdd\u5de5\u5177\u8fdb\u884c\u6784\u5efa\uff09<\/p>\n \ud83c\udf93 \u7814\u7a76\u65b9\u6cd5\u8bba\u4e0e\u89c4\u5212 \uff0813 \u4e2a\u6280\u80fd\uff09<\/p>\n \u6784\u601d\uff1aevidence-aware Scientific Brainstorming \u548c non-scoring Hypothesis Generation\uff0c\u5c06\u5047\u8bbe\u6807\u8bb0\u4e3a\u5019\u9009<\/p>\n \u6587\u672c\u6570\u636e\u96c6\u5047\u8bbe\u8f6f\u4ef6\uff1aHypoGeniC\/HypoRefine \u751f\u6210\u5019\u9009\u6587\u672c\u6a21\u5f0f\u548c\u4efb\u52a1\u9884\u6d4b\u7edf\u8ba1\uff0c\u800c\u975e\u7ecf\u8fc7\u9a8c\u8bc1\u7684\u79d1\u5b66\u5047\u8bbe<\/p>\n \u81ea\u4e3b\u4f18\u5316\uff1aArbor\uff08\u5047\u8bbe\u6811\u4f18\u5316\u2014\u2014\u9488\u5bf9\u5f00\u53d1\u8bc4\u4f30\u5668\u8fed\u4ee3\u6539\u8fdb\u4ee3\u7801\/\u6a21\u578b\/\u667a\u80fd\u4f53\u5de5\u5177\/\u6570\u636e\u5de5\u4ef6\uff0c\u540c\u65f6\u901a\u8fc7\u4fdd\u7559\u7684\u6d4b\u8bd5\u95e8\u9632\u6b62\u8fc7\u62df\u5408\uff09<\/p>\n \u6279\u5224\u6027\u5206\u6790\uff1aScientific Critical Thinking \u548c\u5bf9\u4f5c\u54c1\u7684\u5b9a\u6027\u3001\u4f4e\u98ce\u9669 Scholar Evaluation\u2014\u2014\u7edd\u4e0d\u7ed9\u4eba\u6392\u540d\u6216\u652f\u6301\u6709\u540e\u679c\u7684\u51b3\u7b56<\/p>\n \u60c5\u666f\u5206\u6790\uff1aWhat-If Oracle\uff084\u20136 \u5206\u652f\u53ef\u80fd\u6027\u63a2\u7d22\u3001\u5e94\u6025\u89c4\u5212\u3001\u51b3\u7b56\u538b\u529b\u6d4b\u8bd5\uff09<\/p>\n \u591a\u89c6\u89d2\u5ba1\u8bae\uff1aConsciousness Council\uff08\u591a\u6837\u5316\u7684\u4e13\u5bb6\u89c2\u70b9\u3001\u9b54\u9b3c\u4ee3\u8a00\u4eba\u5206\u6790\uff09<\/p>\n \u8ba4\u77e5\u7279\u5f81\u5206\u6790\uff1aDHDNA Profiler\uff08\u4ece\u4efb\u4f55\u6587\u672c\u4e2d\u63d0\u53d6\u601d\u7ef4\u6a21\u5f0f\u548c\u8ba4\u77e5\u7279\u5f81\uff09<\/p>\n \u8d44\u91d1\uff1aResearch Grants<\/p>\n \u53d1\u73b0\uff1aResearch Lookup\u3001Paper Lookup\uff0810 \u4e2a\u5b66\u672f\u6570\u636e\u5e93\uff09<\/p>\n \u5e02\u573a\u5206\u6790\uff1a\u53ef\u8ffd\u6eaf\u8bc1\u636e\u7684 Market Research Reports\uff0c\u5e26\u6709\u5047\u8bbe\u9a71\u52a8\u7684\u89c4\u6a21\u5316\u548c\u9884\u6d4b\u654f\u611f\u6027<\/p>\n \u2696\ufe0f \u6cd5\u89c4\u4e0e\u6807\u51c6 \uff082 \u4e2a\u6280\u80fd\uff09<\/p>\n \u6807\u51c6\u5c31\u7eea\uff1a\u4e3a ISO 13485\uff08\u533b\u7597\u5668\u68b0 QMS\uff09\u3001ISO 14971\uff08\u533b\u7597\u5668\u68b0\u98ce\u9669\u7ba1\u7406\uff09\u3001ISO\/IEC 17025\uff08\u6d4b\u8bd5\u548c\u6821\u51c6\u5b9e\u9a8c\u5ba4\uff09\u548c ISO 15189\uff08\u533b\u5b66\u5b9e\u9a8c\u5ba4\uff09\u8d77\u8349\u8bc1\u636e\u51c6\u5907\u5de5\u4ef6\uff0c\u901a\u8fc7 –standard \u914d\u7f6e\u6587\u4ef6\u9009\u62e9\u6bcf\u4e2a\u6807\u51c6\u7684\u8fc7\u7a0b\u57df<\/p>\n \u5206\u6790\u65b9\u6cd5\u9a8c\u8bc1\uff1a\u5728\u9002\u7528\u6846\u67b6\u4e0b\u89c4\u5212\u3001\u8bc4\u4f30\u548c\u8bb0\u5f55\u5206\u6790\u7a0b\u5e8f\uff08HPLC\u3001LC-MS\/MS\u3001GC\u3001CE\u3001ICP-MS\u3001\u6eb6\u51fa\u5ea6\u3001qNMR\u3001qPCR\u3001NIR\u3001\u914d\u4f53\u7ed3\u5408\u548c\u57fa\u4e8e\u7ec6\u80de\u7684\u5206\u6790\uff09\u7684\u9a8c\u8bc1\u3001\u786e\u8ba4\u548c\u8f6c\u79fb\u2014\u2014ICH Q2(R2)\/Q14 \u548c ICH M10 \u4ece\u5176\u516c\u5f00\u8bb8\u53ef\u7684\u6587\u672c\u4e2d\u7f16\u7801\uff0cUSP <1220> \/ <1225> \/ <1226> \u3001CLSI EP \u7cfb\u5217\u548c ISO\/IEC 17025 \u4ec5\u901a\u8fc7\u540d\u79f0\u548c\u8303\u56f4\u5f15\u7528\uff1b\u4ec5\u4f7f\u7528 stdlib \u7edf\u8ba1\uff0c\u65e0\u7f51\u7edc\u8bbf\u95ee<\/p>\n \u4fdd\u8bc1\u8f66\u9053\u5206\u79bb\uff1a\u4fdd\u6301 ISO \u8ba4\u8bc1\u3001\u5b9e\u9a8c\u5ba4\u8ba4\u53ef\u3001FDA QMSR \u68c0\u67e5\u3001CLIA \u8ba4\u8bc1\u3001MDSAP \u548c EU MDR\/IVDR \u8bc1\u636e\u8fb9\u754c\u6e05\u6670\u2014\u2014\u5b9e\u9a8c\u5ba4\u662f\u8ba4\u53ef\u800c\u975e\u8ba4\u8bc1\uff0cISO 15189 \u8ba4\u53ef\u4e0d\u80fd\u6ee1\u8db3 CLIA<\/p>\n \u7edd\u4e0d\u7b49\u540c\u4e8e\u5408\u89c4\u3001\u5ba1\u8ba1\u3001\u8bc4\u4f30\u3001\u8ba4\u8bc1\u3001\u8ba4\u53ef\u6216\u65b9\u6cd5\u653e\u884c\u51b3\u7b56\uff1b\u9700\u8981\u5408\u683c\u7684 RA\/QA\u3001\u6cd5\u5f8b\u3001\u5b9e\u9a8c\u5ba4\u4e3b\u4efb\u3001\u8bc4\u4f30\u5458\u548c\u8ba4\u8bc1\u673a\u6784\u5ba1\u9605<\/p>\n \ud83d\udcd6 \u6709\u5173\u6240\u6709\u6280\u80fd\u7684\u5b8c\u6574\u8be6\u7ec6\u4fe1\u606f \uff0c\u8bf7\u53c2\u9605 docs\/skills.md<\/p>\n \ud83d\udca1 \u5bfb\u627e\u5b9e\u7528\u793a\u4f8b\uff1f \u67e5\u770b docs\/examples.md \uff0c\u4e86\u89e3\u6db5\u76d6\u6240\u6709\u79d1\u5b66\u9886\u57df\u7684\u5168\u9762\u5de5\u4f5c\u6d41\u793a\u4f8b\u3002<\/p>\n \ud83d\udcdd \u6765\u81ea\u535a\u5ba2<\/p>\n \u6765\u81ea K-Dense \u535a\u5ba2 \u7684\u6df1\u5ea6\u6587\u7ae0\u3001\u57fa\u51c6\u6d4b\u8bd5\u548c\u6307\u5357\uff0c\u4e0e\u4f7f\u7528\u6b64\u4ed3\u5e93\u4e2d\u7684\u6280\u80fd\u76f4\u63a5\u76f8\u5173\u3002<\/p>\n \u4ece\u8fd9\u91cc\u5f00\u59cb<\/p>\n Agent Skills: The Final Piece for AI-Powered Scientific Research \u2014 \u4ec0\u4e48\u662f Agent Skills\uff0c\u4e3a\u4ec0\u4e48\u7cbe\u5fc3\u7b56\u5212\u7684\u9886\u57df\u6307\u5bfc\u4f18\u4e8e\u539f\u59cb\u6a21\u578b\u80fd\u529b\uff0c\u4ee5\u53ca\u6b64\u4ed3\u5e93\u7684\u4ecb\u7ecd\u3002<\/p>\n K-Dense Web vs Scientific Agent Skills: Why We Built Both (And Which One You Should Use) \u2014 \u4f55\u65f6\u5f00\u6e90\u6280\u80fd\u662f\u6b63\u786e\u5de5\u5177\uff0c\u4f55\u65f6\u6258\u7ba1\u5e73\u53f0\u4e0e\u7ba1\u7406\u8ba1\u7b97\u66f4\u5408\u9002\u3002<\/p>\n \u6280\u80fd\u57fa\u51c6\u6d4b\u8bd5\u4e0e\u6df1\u5ea6\u63a2\u8ba8<\/p>\n One Skill, 78 Databases: Why We Didn't Build 78 Skills \u2014 database-lookup \u7684\u8bbe\u8ba1\u539f\u7406\uff1a\u6574\u5408\u5c06\u59cb\u7ec8\u5728\u7ebf\u7684\u4e0a\u4e0b\u6587\u6210\u672c\u964d\u4f4e\u4e86 13.9 \u500d\uff0c\u540c\u65f6\u4fdd\u6301\u4e86\u8de8\u4e94\u4e2a\u6a21\u578b\u7684\u8def\u7531\u7cbe\u5ea6\u3002<\/p>\n Can an AI Agent Run Your Mass Spec Pipeline? Benchmarking the PyOpenMS Skill \u2014 \u4e00\u9879\u5bf9 pyopenms \u7684 250 \u6b21\u8fd0\u884c\u7814\u7a76\uff1a\u4f7f\u7528\u6280\u80fd\u65f6\u4efb\u52a1\u6210\u529f\u7387\u4e3a 100%\uff0c\u4e0d\u4f7f\u7528\u65f6\u4e3a 96%\uff0cpyOpenMS API \u9519\u8bef\u51cf\u5c11 92%\uff0c\u6210\u672c\u964d\u4f4e 10%\u3002<\/p>\n Beyond RDKit: Benchmarking the Rowan Agent Skill Against Experiment \u2014 Rowan \u4e0e RDKit \u548c\u5b9e\u9a8c\u6570\u636e\u7684\u6bd4\u8f83\uff1apKa MAE 0.23\uff08R\u00b2 0.986\uff09\uff0clogD\u2087.\u2084 MAE 1.15\uff0c\u4ee5\u53ca\u7ea6 0.52 \u7f8e\u5143\u8ba1\u7b97\u6210\u672c\u4e0b\u7684 0.19 \u00c5 RMSD \u5bf9\u63a5\u59ff\u52bf\u6062\u590d\u3002<\/p>\n GPU-Accelerate Your Science: 58x Average Speedup with a Single Skill \u2014 optimize-for-gpu \u91cd\u5199 12 \u4e2a\u5e93\u4e2d\u7684 CPU \u5bc6\u96c6\u578b Python\uff0c\u52a0\u901f\u6bd4\u4ece 1.7 \u500d\u5230 492 \u500d\u4e0d\u7b49\u3002<\/p>\n Towards Smarter Scientific Search: Exa Joins the Scientific Agent Skills Library \u2014 exa-search \u589e\u52a0\u4e86\u4ec0\u4e48\uff1a\u9488\u5bf9\u5b66\u672f\u53d1\u73b0\u800c\u975e\u5173\u952e\u5b57\u5339\u914d\u8c03\u6574\u7684\u795e\u7ecf\u8bed\u4e49\u641c\u7d22\u548c URL \u63d0\u53d6\u3002<\/p>\n Benchmarking Nano Banana 2 Lite for Scientific Image Generation \u2014 \u4e00\u9879 240 \u5f20\u56fe\u50cf\u7684\u79d1\u5b66\u56fe\u8868\u6a21\u578b\u6bd4\u8f83\uff0c\u5bf9\u4e8e\u9009\u62e9 generate-image \u7684\u540e\u7aef\u5f88\u6709\u7528\uff1aNano Banana 2 Lite \u7684\u4e2d\u4f4d\u5ef6\u8fdf\u4e3a 3.8 \u79d2\uff0c\u800c GPT Image 2 \u4e3a 49 \u79d2\uff0c\u5b58\u5728\u8d28\u91cf\u6743\u8861\u3002<\/p>\n Benchmarking NVIDIA BioNeMo Agent Toolkit Skills for NIM microservices \u2014 \u4e00\u4e2a\u72ec\u7acb\u7684 NVIDIA \u6280\u80fd\u96c6\uff0c\u800c\u975e\u6b64\u5904\u4e4b\u4e00\uff0c\u4f46\u53d1\u73b0\u5177\u6709\u666e\u904d\u6027\uff1a\u6280\u80fd\u5728\u8def\u7531\u5230\u975e\u660e\u663e\u7aef\u70b9\u4ee5\u53ca\u5f31\u6a21\u578b\u53ef\u9760\u6027\u65b9\u9762\u5e2e\u52a9\u6700\u5927\uff0c\u4f46\u4e0d\u4f1a\u63d0\u9ad8\u5e95\u5c42\u79d1\u5b66\u6a21\u578b\u7684\u51c6\u786e\u6027\u3002<\/p>\n \u5b89\u5168\u4e0e\u5b89\u5168\u90e8\u7f72<\/p>\n Security in the Science Agent Era: What Every Lab Needs to Know Before Installing Skills \u2014 \u672c\u4ed3\u5e93\u5b89\u5168\u514d\u8d23\u58f0\u660e\u80cc\u540e\u7684\u5b9e\u7528\u5ba1\u67e5\u6e05\u5355\uff1a\u9605\u8bfb\u5b8c\u6574\u7684 SKILL.md \u548c scripts\/ \uff0c\u5b89\u88c5\u524d\u8fdb\u884c\u626b\u63cf\uff0c\u5e76\u56fa\u5b9a\u7248\u672c\u800c\u975e\u8ddf\u8e2a\u5206\u652f\u3002<\/p>\n The Sandboxed AI Scientist: Pairing NVIDIA OpenShell with Scientific Agent Skills \u2014 \u5728\u7b56\u7565\u6cbb\u7406\u7684\u6c99\u7bb1\u4e2d\u8fd0\u884c\u8fd9\u4e9b\u6280\u80fd\uff1b\u53e6\u8bf7\u53c2\u9605\u524d\u7f6e\u6761\u4ef6\u4e2d\u7684 NemoClaw \u6ce8\u610f\u3002<\/p>\n \u4e92\u8865\u7684\u5f00\u6e90\u9879\u76ee<\/p>\n Introducing Science Superpowers: Scientific Discipline for Your Research Agent \u2014 \u5047\u8bbe\u9884\u6ce8\u518c\u3001\u53ef\u91cd\u590d\u5de5\u4f5c\u6d41\u4ee5\u53ca\u56f4\u7ed5\u8fd9\u4e9b\u6280\u80fd\u6784\u5efa\u7684\u9a8c\u8bc1\u5148\u4e8e\u4e3b\u5f20\uff0c\u4ee5\u9632\u6b62 p-hacking \u548c HARKing\u3002<\/p>\n Your AI Assistant Reasons Like a Generalist. Science Needs a Specialist. \u2014 503 \u4e2a\u5f00\u6e90 AGENTS.md \u914d\u7f6e\u6587\u4ef6\uff0c\u63d0\u4f9b\u201c\u5982\u4f55\u601d\u8003\u201d\u5c42\uff0c\u4e0e\u8fd9\u4e9b\u6280\u80fd\u4e2d\u7684\u201c\u505a\u4ec0\u4e48\u201d\u7a0b\u5e8f\u5e76\u5217\u3002<\/p>\n Introducing mimeo and 80+ Mimeographs \u2014 \u901a\u8fc7\u63d0\u70bc\u7ed9\u5b9a\u4ece\u4e1a\u8005\u5982\u4f55\u63a8\u7406\u6765\u751f\u6210\u60a8\u81ea\u5df1\u7684 SKILL.md \/ AGENTS.md \u4e13\u5bb6\u914d\u7f6e\u6587\u4ef6\u3002<\/p>\n \ud83d\udd27 \u6545\u969c\u6392\u9664<\/p>\n \u5e38\u89c1\u95ee\u9898<\/p>\n \u95ee\u9898\uff1a\u6280\u80fd\u672a\u52a0\u8f7d<\/p>\n \u9a8c\u8bc1\u6280\u80fd\u6587\u4ef6\u5939\u662f\u5426\u4f4d\u4e8e\u6b63\u786e\u76ee\u5f55<\/p>\n \u6bcf\u4e2a\u6280\u80fd\u6587\u4ef6\u5939\u5fc5\u987b\u5305\u542b\u4e00\u4e2a SKILL.md \u6587\u4ef6<\/p>\n \u590d\u5236\u6280\u80fd\u540e\u91cd\u65b0\u542f\u52a8\u667a\u80fd\u4f53\/IDE<\/p>\n \u5728 Cursor \u4e2d\uff0c\u68c0\u67e5\u8bbe\u7f6e \u2192 \u89c4\u5219\u4ee5\u786e\u8ba4\u6280\u80fd\u5df2\u88ab\u53d1\u73b0<\/p>\n \u95ee\u9898\uff1a\u7f3a\u5c11 Python \u4f9d\u8d56\u9879<\/p>\n \u89e3\u51b3\u65b9\u6848\uff1a\u68c0\u67e5\u7279\u5b9a SKILL.md \u6587\u4ef6\u4e2d\u7684\u6240\u9700\u5305<\/p>\n \u5b89\u88c5\u4f9d\u8d56\u9879\uff1a uv pip install package-name<\/p>\n \u95ee\u9898\uff1aAPI \u901f\u7387\u9650\u5236<\/p>\n \u89e3\u51b3\u65b9\u6848\uff1a\u8bb8\u591a\u6570\u636e\u5e93\u5177\u6709\u901f\u7387\u9650\u5236\u3002\u67e5\u770b\u7279\u5b9a\u6570\u636e\u5e93\u6587\u6863<\/p>\n \u8003\u8651\u5b9e\u65bd\u7f13\u5b58\u6216\u6279\u91cf\u8bf7\u6c42<\/p>\n \u95ee\u9898\uff1a\u8eab\u4efd\u9a8c\u8bc1\u9519\u8bef<\/p>\n \u89e3\u51b3\u65b9\u6848\uff1a\u67d0\u4e9b\u670d\u52a1\u9700\u8981 API \u5bc6\u94a5\u3002\u68c0\u67e5 SKILL.md \u4e2d\u7684\u8eab\u4efd\u9a8c\u8bc1\u8bbe\u7f6e<\/p>\n \u9a8c\u8bc1\u60a8\u7684\u51ed\u636e\u548c\u6743\u9650<\/p>\n \u95ee\u9898\uff1a\u793a\u4f8b\u8fc7\u65f6<\/p>\n \u89e3\u51b3\u65b9\u6848\uff1a\u901a\u8fc7 GitHub Issues \u62a5\u544a\u95ee\u9898<\/p>\n \u68c0\u67e5\u5b98\u65b9\u5305\u6587\u6863\u4ee5\u83b7\u53d6\u66f4\u65b0\u7684\u8bed\u6cd5<\/p>\n \u2753 \u5e38\u89c1\u95ee\u9898<\/p>\n \u4e00\u822c\u95ee\u9898<\/p>\n \u95ee\uff1a\u8fd9\u662f\u514d\u8d39\u4f7f\u7528\u7684\u5417\uff1f \u95ee\uff1a\u4e3a\u4ec0\u4e48\u6240\u6709\u6280\u80fd\u90fd\u5206\u7ec4\u5728\u4e00\u8d77\uff0c\u800c\u4e0d\u662f\u5355\u72ec\u7684\u5305\uff1f \u95ee\uff1a\u6211\u53ef\u4ee5\u5728\u5546\u4e1a\u9879\u76ee\u4e2d\u4f7f\u7528\u5b83\u5417\uff1f \u95ee\uff1a\u6240\u6709\u6280\u80fd\u90fd\u6709\u76f8\u540c\u7684\u8bb8\u53ef\u8bc1\u5417\uff1f \u95ee\uff1a\u591a\u4e45\u66f4\u65b0\u4e00\u6b21\uff1f \u95ee\uff1a\u6211\u53ef\u4ee5\u5c06\u5b83\u4e0e\u5176\u5b83 AI \u6a21\u578b\u4e00\u8d77\u4f7f\u7528\u5417\uff1f \u5b89\u88c5\u4e0e\u8bbe\u7f6e<\/p>\n \u95ee\uff1a\u6211\u9700\u8981\u5b89\u88c5\u6240\u6709 Python \u5305\u5417\uff1f \u95ee\uff1a\u5982\u679c\u6280\u80fd\u4e0d\u8d77\u4f5c\u7528\u600e\u4e48\u529e\uff1f \u95ee\uff1a\u8fd9\u4e9b\u6280\u80fd\u53ef\u4ee5\u79bb\u7ebf\u5de5\u4f5c\u5417\uff1f \ud83d\udcac \u652f\u6301<\/p>\n \ud83d\udcd6 \u6587\u6863 \uff1a\u67e5\u770b\u76f8\u5173\u7684 SKILL.md \u548c references\/ \u6587\u4ef6\u5939<\/p>\n \ud83d\udc1b \u9519\u8bef\u62a5\u544a \uff1a \u63d0\u4ea4\u95ee\u9898<\/p>\n \ud83d\udca1 \u529f\u80fd\u8bf7\u6c42 \uff1a \u63d0\u4ea4\u529f\u80fd\u8bf7\u6c42<\/p>\n \ud83d\udcbc \u4f01\u4e1a\u652f\u6301 \uff1a\u8054\u7cfb K-Dense \u83b7\u53d6\u5546\u4e1a\u652f\u6301<\/p>\n \ud83d\udcd6 \u5f15\u7528<\/p>\n \u5982\u679c\u60a8\u5728\u7814\u7a76\u6216\u9879\u76ee\u4e2d\u4f7f\u7528 Scientific Agent Skills\uff0c\u8bf7\u5f15\u7528\u6574\u4e2a\u96c6\u5408\uff0c\u5e76\u5728\u76f8\u5173\u65f6\u5f15\u7528\u5bf9\u60a8\u7684\u5de5\u4f5c\u6709\u5b9e\u8d28\u6027\u652f\u6301\u7684\u5355\u4e2a\u6280\u80fd\u3002<\/p>\n \u63a8\u8350\u505a\u6cd5\uff1a<\/p>\n \u59cb\u7ec8\u4f7f\u7528\u4ee5\u4e0b\u683c\u5f0f\u4e4b\u4e00\u5f15\u7528 Scientific Agent Skills \u3002<\/p>\n \u540c\u65f6\u5f15\u7528\u6bcf\u4e2a\u76f4\u63a5\u6709\u52a9\u4e8e\u60a8\u5206\u6790\u3001\u4ee3\u7801\u3001\u56fe\u8868\u3001\u62a5\u544a\u6216\u7814\u7a76\u5de5\u4f5c\u6d41\u7684\u5355\u4e2a\u6280\u80fd\u3002<\/p>\n \u5982\u679c\u6280\u80fd\u5305\u88c5\u6216\u8bb0\u5f55\u4e86\u5916\u90e8\u5305\u3001\u6570\u636e\u5e93\u6216\u5e73\u53f0\uff0c\u5f53\u60a8\u6240\u5728\u9886\u57df\u7684\u89c4\u8303\u8981\u6c42\u65f6\uff0c\u4e5f\u8bf7\u5f15\u7528\u8be5\u4e0a\u6e38\u9879\u76ee\u3002<\/p>\n \u96c6\u5408\u5f15\u7528<\/p>\n BibTeX<\/p>\n @software{scientific_agent_skills_2026, APA<\/p>\n K-Dense Inc. (2026). Scientific Agent Skills: A comprehensive collection of scientific tools for AI agents [Computer software]. https:\/\/github.com\/K-Dense-AI\/scientific-agent-skills<\/p>\n MLA<\/p>\n K-Dense Inc. Scientific Agent Skills: A Comprehensive Collection of Scientific Tools for AI Agents. 2026, github.com\/K-Dense-AI\/scientific-agent-skills.<\/p>\n \u7eaf\u6587\u672c<\/p>\n Scientific Agent Skills by K-Dense Inc. (2026) \u5355\u4e2a\u6280\u80fd\u5f15\u7528<\/p>\n \u5f15\u7528\u7279\u5b9a\u6280\u80fd\u65f6\uff0c\u8bf7\u5305\u542b\u6280\u80fd\u540d\u79f0\u3001\u8be5\u6280\u80fd SKILL.md \u4e2d metadata.version \u7684\u7248\u672c\u4ee5\u53ca\u76f4\u63a5\u6280\u80fd URL\u3002\u4f8b\u5982\uff1a<\/p>\n @software{scientific_agent_skills_astropy_2026, \u7eaf\u6587\u672c\u683c\u5f0f\uff1a<\/p>\n Astropy skill for Scientific Agent Skills, version 1.0. \ud83d\udcc4 \u8bb8\u53ef\u8bc1<\/p>\n \u672c\u9879\u76ee\u91c7\u7528 MIT \u8bb8\u53ef\u8bc1 \u3002<\/p>\n \u7248\u6743\u6240\u6709 \u00a9 2026 K-Dense Inc. ( k-dense.ai )<\/p>\n \u5173\u952e\u70b9\uff1a<\/p>\n \u2705 \u514d\u8d39\u7528\u4e8e\u4efb\u4f55\u7528\u9014 \uff08\u5546\u4e1a\u548c\u975e\u5546\u4e1a\uff09<\/p>\n \u2705 \u5f00\u6e90 – \u53ef\u81ea\u7531\u4fee\u6539\u3001\u5206\u53d1\u548c\u4f7f\u7528<\/p>\n \u2705 \u5bbd\u677e – \u5bf9\u590d\u7528\u7684\u9650\u5236\u6700\u5c11<\/p>\n \u26a0\ufe0f \u65e0\u62c5\u4fdd – \u6309\u201c\u539f\u6837\u201d\u63d0\u4f9b\uff0c\u65e0\u4efb\u4f55\u5f62\u5f0f\u7684\u62c5\u4fdd<\/p>\n \u67e5\u770b LICENSE.md \u4e86\u89e3\u5b8c\u6574\u6761\u6b3e\u3002<\/p>\n \u5355\u4e2a\u6280\u80fd\u8bb8\u53ef\u8bc1<\/p>\n \u26a0\ufe0f \u91cd\u8981 \uff1a\u6bcf\u4e2a\u6280\u80fd\u5728\u5176 SKILL.md \u6587\u4ef6\u7684 license \u5143\u6570\u636e\u5b57\u6bb5\u4e2d\u6307\u5b9a\u4e86\u81ea\u5df1\u7684\u8bb8\u53ef\u8bc1\u3002\u8fd9\u4e9b\u8bb8\u53ef\u8bc1\u53ef\u80fd\u4e0e\u4ed3\u5e93\u7684 MIT \u8bb8\u53ef\u8bc1\u4e0d\u540c\uff0c\u5e76\u4e14\u53ef\u80fd\u5305\u542b\u9644\u52a0\u6761\u6b3e\u6216\u9650\u5236\u3002 \u7528\u6237\u6709\u8d23\u4efb\u5ba1\u9605\u5e76\u9075\u5b88\u4ed6\u4eec\u4f7f\u7528\u7684\u6bcf\u4e2a\u5355\u72ec\u6280\u80fd\u7684\u8bb8\u53ef\u8bc1\u6761\u6b3e\u3002<\/p>\n \u4f5c\u8005\uff1aK-Dense-AI \u5b66\u751f\u7814\u7a76\u8005 \/ \u804c\u573a\u4eba \uff5c GitHub Stars 32K \uff5c \u6807\u7b7e\uff1a\u6570\u636e\u5206\u6790 \u5199\u4f5c\u6587\u6848 \u5df2\u8ba4\u8bc1 \u5f00\u6e90\u8bb8\u53ef: MIT<\/p>\n\u8be6\u7ec6\u4ecb\u7ecd<\/h2>\n
\u7b54\uff1a\u662f\u7684\uff01\u6b64\u4ed3\u5e93\u91c7\u7528 MIT \u8bb8\u53ef\u8bc1\u3002\u4f46\u662f\uff0c\u6bcf\u4e2a\u5355\u72ec\u6280\u80fd\u5728\u5176 SKILL.md \u6587\u4ef6\u7684 license \u5143\u6570\u636e\u5b57\u6bb5\u4e2d\u6307\u5b9a\u4e86\u81ea\u5df1\u7684\u8bb8\u53ef\u8bc1\u2014\u2014\u8bf7\u52a1\u5fc5\u5ba1\u9605\u5e76\u9075\u5b88\u8fd9\u4e9b\u6761\u6b3e\u3002<\/p>\n
\u7b54\uff1a\u6211\u4eec\u76f8\u4fe1\uff0c\u5728 AI \u65f6\u4ee3\uff0c\u597d\u7684\u79d1\u5b66\u672c\u8d28\u4e0a\u662f\u8de8\u5b66\u79d1\u7684\u3002\u5c06\u6240\u6709\u6280\u80fd\u6346\u7ed1\u5728\u4e00\u8d77\uff0c\u4f7f\u60a8\uff08\u548c\u60a8\u7684\u667a\u80fd\u4f53\uff09\u80fd\u591f\u8f7b\u677e\u5730\u8de8\u9886\u57df\u8fde\u63a5\u2014\u2014\u4f8b\u5982\uff0c\u5728\u4e00\u4e2a\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u7ed3\u5408\u57fa\u56e0\u7ec4\u5b66\u3001\u5316\u5b66\u4fe1\u606f\u5b66\u3001\u4e34\u5e8a\u6570\u636e\u548c\u673a\u5668\u5b66\u4e60\u2014\u2014\u800c\u65e0\u9700\u62c5\u5fc3\u5b89\u88c5\u6216\u8fde\u63a5\u54ea\u4e9b\u5355\u72ec\u6280\u80fd\u3002<\/p>\n
\u7b54\uff1a\u4ed3\u5e93\u672c\u8eab\u91c7\u7528 MIT \u8bb8\u53ef\u8bc1\uff0c\u5141\u8bb8\u5546\u4e1a\u4f7f\u7528\u3002\u4f46\u662f\uff0c\u5355\u72ec\u6280\u80fd\u53ef\u80fd\u5177\u6709\u4e0d\u540c\u7684\u8bb8\u53ef\u8bc1\u2014\u2014\u8bf7\u68c0\u67e5\u6bcf\u4e2a\u6280\u80fd SKILL.md \u6587\u4ef6\u4e2d\u7684 license \u5b57\u6bb5\uff0c\u4ee5\u786e\u4fdd\u7b26\u5408\u60a8\u9884\u671f\u7528\u9014\u3002<\/p>\n
\u7b54\uff1a\u4e0d\u3002\u6bcf\u4e2a\u6280\u80fd\u5728\u5176 SKILL.md \u6587\u4ef6\u7684 license \u5143\u6570\u636e\u5b57\u6bb5\u4e2d\u6307\u5b9a\u4e86\u81ea\u5df1\u7684\u8bb8\u53ef\u8bc1\u3002\u8fd9\u4e9b\u8bb8\u53ef\u8bc1\u53ef\u80fd\u4e0e\u4ed3\u5e93\u7684 MIT \u8bb8\u53ef\u8bc1\u4e0d\u540c\u3002\u7528\u6237\u6709\u8d23\u4efb\u5ba1\u9605\u5e76\u9075\u5b88\u4ed6\u4eec\u4f7f\u7528\u7684\u6bcf\u4e2a\u5355\u72ec\u6280\u80fd\u7684\u8bb8\u53ef\u8bc1\u6761\u6b3e\u3002<\/p>\n
\u7b54\uff1a\u6211\u4eec\u5b9a\u671f\u66f4\u65b0\u6280\u80fd\uff0c\u4ee5\u53cd\u6620\u5305\u548c API \u7684\u6700\u65b0\u7248\u672c\u3002\u4e3b\u8981\u66f4\u65b0\u5728\u53d1\u5e03\u8bf4\u660e\u4e2d\u5ba3\u5e03\u3002<\/p>\n
\u7b54\uff1a\u6838\u5fc3 SKILL.md \u683c\u5f0f\u9075\u5faa\u5f00\u653e Agent Skills \u6807\u51c6\u3002\u5b89\u88c5\u8def\u5f84\u3001\u53d1\u73b0\u548c\u53ef\u9009\u5143\u6570\u636e\u652f\u6301\u56e0\u4e3b\u673a\u548c\u7248\u672c\u800c\u5f02\uff0c\u56e0\u6b64\u8bf7\u786e\u8ba4\u76ee\u6807\u4e3b\u673a\u7684\u6700\u65b0\u6587\u6863\u3002<\/p>\n
\u7b54\uff1a\u4e0d\uff01\u53ea\u5b89\u88c5\u60a8\u9700\u8981\u7684\u5305\u3002\u6bcf\u4e2a\u6280\u80fd\u5728\u5176 SKILL.md \u6587\u4ef6\u4e2d\u6307\u5b9a\u4e86\u5176\u8981\u6c42\u3002<\/p>\n
\u7b54\uff1a\u9996\u5148\u68c0\u67e5\u6545\u969c\u6392\u9664\u90e8\u5206\u3002\u5982\u679c\u95ee\u9898\u4ecd\u7136\u5b58\u5728\uff0c\u8bf7\u5728 GitHub \u4e0a\u63d0\u4ea4\u95ee\u9898\uff0c\u5e76\u9644\u4e0a\u8be6\u7ec6\u7684\u590d\u73b0\u6b65\u9aa4\u3002<\/p>\n
\u7b54\uff1a\u6570\u636e\u5e93\u6280\u80fd\u9700\u8981\u4e92\u8054\u7f51\u8bbf\u95ee\u6765\u67e5\u8be2 API\u3002\u4e00\u65e6\u5b89\u88c5\u4e86 Python \u4f9d\u8d56\u9879\uff0c\u5305\u6280\u80fd\u53ef\u4ee5\u79bb\u7ebf\u5de5\u4f5c\u3002<\/p>\n
author = {{K-Dense Inc.}},
title = {Scientific Agent Skills: A Comprehensive Collection of Scientific Tools for AI Agents},
year = {2026},
url = {https:\/\/github.com\/K-Dense-AI\/scientific-agent-skills},
note = {158 skills covering databases, packages, integrations, and analysis tools}
}<\/p>\n
Available at: https:\/\/github.com\/K-Dense-AI\/scientific-agent-skills<\/p>\n
author = {{K-Dense Inc.}},
title = {Astropy Skill for Scientific Agent Skills},
year = {2026},
url = {https:\/\/github.com\/K-Dense-AI\/scientific-agent-skills\/tree\/main\/skills\/astropy},
note = {Version 1.0, part of Scientific Agent Skills}
}<\/p>\n
K-Dense Inc. (2026).
https:\/\/github.com\/K-Dense-AI\/scientific-agent-skills\/tree\/main\/skills\/astropy<\/p>\n\u8bd5\u8bd5\u8fd9\u6837\u505a<\/h2>\n
\n
\n