[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCJJZ6TMVSYWMYEQDSPV10":3,"skill-same:01M6DCJJZ6TMVSYWMYEQDSPV10":68},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":26,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":14,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6DCJJZ6TMVSYWMYEQDSPV10","drug-discovery-literature-bridge",null,"Use when extracting molecules, targets, assays, and clinical context from a paper (via the Scholarly Access MCP paper_* tools) to seed the drug-discovery stack — ToolUniverse DDI\u002FADMET\u002Ftarget-validation\u002Fmechanism tools and the RDKit MCP — keeping DOI provenance on every extracted entity.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fdrug-discovery-literature-bridge\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"discovery","bridge","drug discovery literature bridge","MCP","validation","Tools","provenance","rdkit","access","stack","context","use","seed","clinical","paper","tooluniverse","2026-11-10 10:12:30",false,"---\nname: drug-discovery-literature-bridge\ndescription: Use when extracting molecules, targets, assays, and clinical context from a paper (via the Scholarly Access MCP paper_* tools) to seed the drug-discovery stack — ToolUniverse DDI\u002FADMET\u002Ftarget-validation\u002Fmechanism tools and the RDKit MCP — keeping DOI provenance on every extracted entity.\n---\n\n# Drug Discovery Literature Bridge\n\nConnects findings in scholarly papers to the drug-discovery toolchain.\n\n## When to use\n\n- You have a DOI, PMID, arXiv id, or title and want to mine its molecules, targets, assays, or clinical context for downstream modeling.\n- You want to seed a ToolUniverse query (drug-drug-interaction, ADMET, target validation, drug mechanism) from what a paper actually reports.\n- You want to hand a SMILES or compound name from a paper into an RDKit MCP descriptor\u002Fproperty workflow.\n- You are building an evidence trail that links a downstream result back to its source DOI.\n\n## The MCP tools it uses\n\nThis skill is a consumer of the Scholarly Access MCP. It primarily uses:\n\n- `paper_resolve(identifier)` — DOI\u002FPMID\u002FarXiv\u002Ftitle to canonical metadata, normalized ids (doi, pmid, arxiv, openalex), and a confidence score. Use first to lock the identifier.\n- `paper_fetch_metadata(identifier)` — metadata plus abstract plus references where legally available. This is the primary extraction surface.\n- `paper_summarize(identifier or doi)` — a structured digest assembled from legally available metadata and abstract. The agent writes the prose; the tool supplies the fields.\n- `paper_batch_resolve(identifiers)` — when a reference list or candidate set needs status and OA links in one pass.\n\nDownstream it hands entities to the drug-discovery stack: ToolUniverse skills (for example tooluniverse-drug-drug-interaction, tooluniverse-admet-prediction, tooluniverse-drug-target-validation, tooluniverse-drug-mechanism-research, tooluniverse-pharmacovigilance, tooluniverse-clinical-trial-matching) and the RDKit MCP for molecule descriptors and property calculation.\n\n### Workflow steps\n### Concrete examples\n### Limitations\n### Tested invocation\n### -> resolved; title \"Why Most Published Research Findings Are False\"\n### -> subscription \u002F free_to_read_not_redistributable\n","# Drug Discovery Literature Bridge\n\nConnects findings in scholarly papers to the drug-discovery toolchain.\n\n## When to use\n\n- You have a DOI, PMID, arXiv id, or title and want to mine its molecules, targets, assays, or clinical context for downstream modeling.\n- You want to seed a ToolUniverse query (drug-drug-interaction, ADMET, target validation, drug mechanism) from what a paper actually reports.\n- You want to hand a SMILES or compound name from a paper into an RDKit MCP descriptor\u002Fproperty workflow.\n- You are building an evidence trail that links a downstream result back to its source DOI.\n\n## The MCP tools it uses\n\nThis skill is a consumer of the Scholarly Access MCP. It primarily uses:\n\n- `paper_resolve(identifier)` — DOI\u002FPMID\u002FarXiv\u002Ftitle to canonical metadata, normalized ids (doi, pmid, arxiv, openalex), and a confidence score. Use first to lock the identifier.\n- `paper_fetch_metadata(identifier)` — metadata plus abstract plus references where legally available. This is the primary extraction surface.\n- `paper_summarize(identifier or doi)` — a structured digest assembled from legally available metadata and abstract. The agent writes the prose; the tool supplies the fields.\n- `paper_batch_resolve(identifiers)` — when a reference list or candidate set needs status and OA links in one pass.\n\nDownstream it hands entities to the drug-discovery stack: ToolUniverse skills (for example tooluniverse-drug-drug-interaction, tooluniverse-admet-prediction, tooluniverse-drug-target-validation, tooluniverse-drug-mechanism-research, tooluniverse-pharmacovigilance, tooluniverse-clinical-trial-matching) and the RDKit MCP for molecule descriptors and property calculation.\n\n### Workflow steps\n### Concrete examples\n### Limitations\n### Tested invocation\n### -> resolved; title \"Why Most Published Research Findings Are False\"\n### -> subscription \u002F free_to_read_not_redistributable\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fdrug-discovery-literature-bridge","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill drug-discovery-literature-bridge",{"tool":60,"command":61},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill drug-discovery-literature-bridge",{"tool":63,"command":64},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill drug-discovery-literature-bridge","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fdrug-discovery-literature-bridge\u002FSKILL.md",true,[],[69,89,114,141,155,171],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":75,"publishedAt":43},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[76,77,78,79,80,81,82,83,84,38,37,85,86,87,88],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","repo","injection","execution","file",{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":96,"publishedAt":43},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[95],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[97,98,99,100,101,102,103,36,104,105,106,107,108,109,38,110,111,112,113,30],"openmm md","how","decision","pick","linux","analyze","tool","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":126,"publishedAt":43},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[120,123],{"categoryNo":121,"categoryName":122,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":124,"categoryName":125,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[127,128,129,130,131,132,133,134,135,136,98,137,138,139,140],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":147,"publishedAt":43},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[143,148,149,150,151,152,153,154],"setup","report","project","installation","project setup","issues","state",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":162,"publishedAt":43},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[161],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[157,163,81,164,165,166,38,167,168,169,170],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":172,"name":148,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":176,"publishedAt":43},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[148,150,112,177,152,178],"files","interactive"]