[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCQRCXMXZH7REE7VRTES5G":3,"skill-same:01M6DCQRCXMXZH7REE7VRTES5G":69},{"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":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":14,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6DCQRCXMXZH7REE7VRTES5G","mechanistic-ddi-pipeline",null,"Use to orchestrate a full mechanistic drug-drug interaction verdict by combining two MCP stacks - ToolUniverse CYP\u002FUGT\u002Ftransporter and DDI knowledge plus FDA-label evidence with Schrodinger structure tools (SMILES to 3D, descriptors, ADMET, optional docking). Use when a DDI question needs both biomedical knowledge-base lookups and structure-level computation fused into one perpetrator-victim verdict with severity, mechanism, and management.","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\u002Fmechanistic-ddi-pipeline\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"pipeline","mechanistic ddi pipeline","fda","tooluniverse","docking","biomedical","full","knowledge-base","structure","base","evidence","MCP","use","management","question","knowledge","3D","Tools","severity","orchestrate","2026-11-10 10:12:30",false,"---\nname: mechanistic-ddi-pipeline\ndescription: Use to orchestrate a full mechanistic drug-drug interaction verdict by combining two MCP stacks - ToolUniverse CYP\u002FUGT\u002Ftransporter and DDI knowledge plus FDA-label evidence with Schrodinger structure tools (SMILES to 3D, descriptors, ADMET, optional docking). Use when a DDI question needs both biomedical knowledge-base lookups and structure-level computation fused into one perpetrator-victim verdict with severity, mechanism, and management.\n---\n\n# Mechanistic DDI Pipeline (cross-stack orchestrator)\n\n## Overview\n\nThis skill is the GLUE between two servers. It fuses ToolUniverse knowledge (CYP\u002FUGT\u002Ftransporter roles, DDI records, FDA labels, literature) with Schrodinger structure-level computation (3D generation, drug-likeness descriptors, QikProp ADMET, optional Glide docking) into one perpetrator-victim DDI verdict. It does not replace the deep `tooluniverse-drug-drug-interaction` skill - it adds the structure layer.\n\nStacks used:\n\n- `tooluniverse` MCP (knowledge) - see the `ddi-admet-research` and `tooluniverse-drug-drug-interaction` skills for routing and tool details.\n- `schrodinger` MCP (structure) - see the `schrodinger-maestro-driver` skill for the 12 tools, the license-token split, and the full prep -> grid -> dock -> MM-GBSA pipeline (`glide_grid` builds the grid in-server).\n\n## When to Use\n\n- A DDI question where mechanism must be backed by both pathway knowledge AND molecular evidence (descriptors, ADMET, or a docking pose into a CYP\u002Ftarget structure).\n- A novel or under-documented compound (limited DDI records) where structure-derived properties inform the prediction.\n- A case where you must reconcile a knowledge-base claim with computed physchem\u002FADMET (e.g., does the structure support the proposed CYP-substrate role).\n\nIf the question is purely knowledge-based, use `ddi-admet-research` instead - do not spin up structure tools unnecessarily.\n\n## Orchestrated Workflow\n\n1. Frame the pair with the perpetrator-victim model (who changes whom). Apply the CYP\u002FUGT reasoning from `tooluniverse-drug-drug-interaction` BEFORE any tool call.\n\n### Conflict Resolution\n### Common Mistakes\n### Related Skills\n","# Mechanistic DDI Pipeline (cross-stack orchestrator)\n\n## Overview\n\nThis skill is the GLUE between two servers. It fuses ToolUniverse knowledge (CYP\u002FUGT\u002Ftransporter roles, DDI records, FDA labels, literature) with Schrodinger structure-level computation (3D generation, drug-likeness descriptors, QikProp ADMET, optional Glide docking) into one perpetrator-victim DDI verdict. It does not replace the deep `tooluniverse-drug-drug-interaction` skill - it adds the structure layer.\n\nStacks used:\n\n- `tooluniverse` MCP (knowledge) - see the `ddi-admet-research` and `tooluniverse-drug-drug-interaction` skills for routing and tool details.\n- `schrodinger` MCP (structure) - see the `schrodinger-maestro-driver` skill for the 12 tools, the license-token split, and the full prep -> grid -> dock -> MM-GBSA pipeline (`glide_grid` builds the grid in-server).\n\n## When to Use\n\n- A DDI question where mechanism must be backed by both pathway knowledge AND molecular evidence (descriptors, ADMET, or a docking pose into a CYP\u002Ftarget structure).\n- A novel or under-documented compound (limited DDI records) where structure-derived properties inform the prediction.\n- A case where you must reconcile a knowledge-base claim with computed physchem\u002FADMET (e.g., does the structure support the proposed CYP-substrate role).\n\nIf the question is purely knowledge-based, use `ddi-admet-research` instead - do not spin up structure tools unnecessarily.\n\n## Orchestrated Workflow\n\n1. Frame the pair with the perpetrator-victim model (who changes whom). Apply the CYP\u002FUGT reasoning from `tooluniverse-drug-drug-interaction` BEFORE any tool call.\n\n### Conflict Resolution\n### Common Mistakes\n### Related Skills\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fmechanistic-ddi-pipeline","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill mechanistic-ddi-pipeline",{"tool":61,"command":62},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill mechanistic-ddi-pipeline",{"tool":64,"command":65},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill mechanistic-ddi-pipeline","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\u002Fmechanistic-ddi-pipeline\u002FSKILL.md",true,[],[70,91,117,144,158,174],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":76,"publishedAt":44},"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",[],[77,78,79,80,81,82,83,84,85,36,86,87,88,89,90],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":98,"publishedAt":44},"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",[97],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[99,100,101,102,103,104,105,106,107,108,109,110,111,112,36,113,114,115,116,35],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do",{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":121,"categories":122,"keywords":129,"publishedAt":44},"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",[123,126],{"categoryNo":124,"categoryName":125,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":127,"categoryName":128,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[130,131,132,133,134,135,136,137,138,139,100,140,141,142,143],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":145,"name":146,"nameZh":6,"description":147,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":148,"categories":149,"keywords":150,"publishedAt":44},"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",[],[146,151,152,153,154,155,156,157],"setup","report","project","installation","project setup","issues","state",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":165,"publishedAt":44},"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",[164],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[160,166,82,167,168,169,36,170,171,172,173],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":175,"name":151,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":179,"publishedAt":44},"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",[],[151,153,115,180,155,181],"files","interactive"]