[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCN5Q720Y3HMHC1E9G4SJG":3,"skill-same:01M6DCN5Q720Y3HMHC1E9G4SJG":64},{"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":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":14,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M6DCN5Q720Y3HMHC1E9G4SJG","grill-with-docs",null,"Use when stress-testing a plan against the workspace's accumulated domain knowledge and prior decisions — challenge terminology, sharpen fuzzy language, check the plan against what was already decided, and write resolved decisions back. Use when the user says \"grill against our docs\u002Fdecisions\", \"does this match our domain model\", or wants a glossary-aware, decision-store-aware design grill.","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\u002Fgrill-with-docs\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"docs","grill with docs","grill","workspace","domain model","domain","terminology","back","use","challenge","decisions","check","testing","decision","glossary","model","sharpen","plan","knowledge","design","2026-11-10 10:12:30",false,"---\nname: grill-with-docs\ndescription: Use when stress-testing a plan against the workspace's accumulated domain knowledge and prior decisions — challenge terminology, sharpen fuzzy language, check the plan against what was already decided, and write resolved decisions back. Use when the user says \"grill against our docs\u002Fdecisions\", \"does this match our domain model\", or wants a glossary-aware, decision-store-aware design grill.\n---\n\n# Grill With Docs\n\n## Overview\n\nGrill a plan, but **grounded in the workspace's actual accumulated knowledge** instead of a per-repo glossary file. Pull the domain glossary and prior decisions from **basic-memory** (the semantic D: vault) and the **event-ledger**, challenge the plan against them, and write every resolved decision **back** into those same stores.\n\nThis beats grilling against a repo-local `CONTEXT.md` \u002F `docs\u002Fadr\u002F` set: the stores are cross-project, semantic, always current, and the SessionStart hook replays the ledger after compaction — so the grounding and the decisions both survive context loss.\n\n## This is a layer, not a new grill\n\nDo **not** re-implement the questioning loop. Run the existing grill for the cadence, then add the store-awareness on top:\n\n- Single plan -> `grill-me` (interview relentlessly, one question at a time, recommend each answer, explore the codebase instead of asking when a question is answerable).\n- Wide \u002F under-specified program -> `grill-me-extensive` (the 7-step method: scout, diverge, structure, foundation-first, one-at-a-time, capture, converge — plus its grill modes).\n\n`grill-with-docs` = those, plus the four domain moves and the load\u002Fcapture wiring below.\n\n## Before the grill — load the grounding\n\nRecall is the part everyone skips. Do it first so your challenges are grounded, not generic:\n\n- `mcp__basic-memory__search_notes` \u002F `mcp__basic-memory__build_context` for the domain glossary and prior decisions in this area; `mcp__basic-memory__recent_activity` for what changed lately.\n\n### During the grill — the four domain moves\n### Capture decisions back — close the loop\n### Why this beats CONTEXT.md \u002F ADR files\n","# Grill With Docs\n\n## Overview\n\nGrill a plan, but **grounded in the workspace's actual accumulated knowledge** instead of a per-repo glossary file. Pull the domain glossary and prior decisions from **basic-memory** (the semantic D: vault) and the **event-ledger**, challenge the plan against them, and write every resolved decision **back** into those same stores.\n\nThis beats grilling against a repo-local `CONTEXT.md` \u002F `docs\u002Fadr\u002F` set: the stores are cross-project, semantic, always current, and the SessionStart hook replays the ledger after compaction — so the grounding and the decisions both survive context loss.\n\n## This is a layer, not a new grill\n\nDo **not** re-implement the questioning loop. Run the existing grill for the cadence, then add the store-awareness on top:\n\n- Single plan -> `grill-me` (interview relentlessly, one question at a time, recommend each answer, explore the codebase instead of asking when a question is answerable).\n- Wide \u002F under-specified program -> `grill-me-extensive` (the 7-step method: scout, diverge, structure, foundation-first, one-at-a-time, capture, converge — plus its grill modes).\n\n`grill-with-docs` = those, plus the four domain moves and the load\u002Fcapture wiring below.\n\n## Before the grill — load the grounding\n\nRecall is the part everyone skips. Do it first so your challenges are grounded, not generic:\n\n- `mcp__basic-memory__search_notes` \u002F `mcp__basic-memory__build_context` for the domain glossary and prior decisions in this area; `mcp__basic-memory__recent_activity` for what changed lately.\n\n### During the grill — the four domain moves\n### Capture decisions back — close the loop\n### Why this beats CONTEXT.md \u002F ADR files\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fgrill-with-docs","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill grill-with-docs",{"tool":56,"command":57},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill grill-with-docs",{"tool":59,"command":60},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill grill-with-docs","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\u002Fgrill-with-docs\u002FSKILL.md",true,[],[65,86,116,142,156,172],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":71,"publishedAt":39},"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",[],[72,73,74,75,76,77,78,79,80,27,81,82,83,84,85],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":97,"publishedAt":39},"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",[92],{"categoryNo":93,"categoryName":94,"taxonomyType":95,"taxonomyTypeDesc":96},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[98,99,32,100,101,102,103,104,105,106,107,108,109,110,27,111,112,113,114,115],"openmm md","how","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":128,"publishedAt":39},"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",[122,125],{"categoryNo":123,"categoryName":124,"taxonomyType":95,"taxonomyTypeDesc":96},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":126,"categoryName":127,"taxonomyType":95,"taxonomyTypeDesc":96},"01JBSEEDCAT000000000000008","测试与质量",[129,130,131,132,133,134,135,136,30,137,99,138,139,140,141],"review","visual","visual review","pages","web","false","iteration","take","slides","ui","screenshot","playwright","screenshots",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":148,"publishedAt":39},"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",[],[144,149,150,151,152,153,154,155],"setup","report","project","installation","project setup","issues","state",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":163,"publishedAt":39},"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",[162],{"categoryNo":93,"categoryName":94,"taxonomyType":95,"taxonomyTypeDesc":96},[158,164,77,165,166,167,27,168,169,170,171],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":173,"name":149,"nameZh":6,"description":174,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":175,"categories":176,"keywords":177,"publishedAt":39},"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",[],[149,151,113,178,153,179],"files","interactive"]