[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DBMJS4HPJ1DDH7M818BVKX":3,"skill-same:01M6DBMJS4HPJ1DDH7M818BVKX":161},{"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":40,"linkOnly":41,"markdownContent":42,"markdownBody":43,"frontMatter":44,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":14,"repositoryHtmlUrl":50,"repositoryHomepageUrl":6,"ownerHtmlUrl":51,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":52,"install":53,"resources":66},"01M6DBMJS4HPJ1DDH7M818BVKX","notion-research-documentation",null,"Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.","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\u002F.agents\u002Fskills\u002Fnotion-research-documentation\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],"notion","research","documentation","notion research documentation","produce","content","Citations","use","reports","info","synthesize","across","structured","2026-11-10 10:12:30",false,"---\nname: notion-research-documentation\ndescription: Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.\nmetadata:\n  short-description: Research Notion content and produce briefs\u002Freports\n---\n\n# Research & Documentation\n\nPull relevant Notion pages, synthesize findings, and publish clear briefs or reports (with citations and links to sources).\n\n## Quick start\n1) Find sources with `Notion:notion-search` using targeted queries; confirm scope with the user.\n2) Fetch pages via `Notion:notion-fetch`; note key sections and capture citations (`reference\u002Fcitations.md`).\n3) Choose output format (brief, summary, comparison, comprehensive report) using `reference\u002Fformat-selection-guide.md`.\n4) Draft in Notion with `Notion:notion-create-pages` using the matching template (quick, summary, comparison, comprehensive).\n5) Link sources and add a references\u002Fcitations section; update as new info arrives with `Notion:notion-update-page`.\n\n## Workflow\n### 0) If any MCP call fails because Notion MCP is not connected, pause and set it up:\n1. Add the Notion MCP:\n   - `codex mcp add notion --url https:\u002F\u002Fmcp.notion.com\u002Fmcp`\n2. Enable remote MCP client:\n   - Set `[features].rmcp_client = true` in `config.toml` **or** run `codex --enable rmcp_client`\n3. Log in with OAuth:\n   - `codex mcp login notion`\n\nAfter successful login, the user will have to restart codex. You should finish your answer and tell them so when they try again they can continue with Step 1.\n\n### 1) Gather sources\n- Search first (`Notion:notion-search`); refine queries, and ask the user to confirm if multiple results appear.\n- Fetch relevant pages (`Notion:notion-fetch`), skim for facts, metrics, claims, constraints, and dates.\n- Track each source URL\u002FID for later citation; prefer direct quotes for critical facts.\n\n### 2) Select the format\n- Quick readout → quick brief.\n- Single-topic dive → research summary.\n- Option tradeoffs → comparison.\n- Deep dive \u002F exec-ready → comprehensive report.\n- See `reference\u002Fformat-selection-guide.md` for when to pick each.\n\n### 3) Synthesize\n- Outline before writing; group findings by themes\u002Fquestions.\n- Note evidence with source IDs; flag gaps or contradictions.\n- Keep user goal in view (decision, summary, plan, recommendation).\n\n### 4) Create the doc\n- Pick the matching template in `reference\u002F` (brief, summary, comparison, comprehensive) and adapt it.\n- Create the page with `Notion:notion-create-pages`; include title, summary, key findings, supporting evidence, and recommendations\u002Fnext steps when relevant.\n- Add citations inline and a references section; link back to source pages.\n\n### 5) Finalize & handoff\n- Add highlights, risks, and open questions.\n- If the user needs follow-ups, create tasks or a checklist in the page; link any task database entries if applicable.\n- Share a short changelog or status using `Notion:notion-update-page` when updating.\n\n## References and examples\n- `reference\u002F` — search tactics, format selection, templates, and citation rules (e.g., `advanced-search.md`, `format-selection-guide.md`, `research-summary-template.md`, `comparison-template.md`, `citations.md`).\n- `examples\u002F` — end-to-end walkthroughs (e.g., `competitor-analysis.md`, `technical-investigation.md`, `market-research.md`, `trip-planning.md`).\n","# Research & Documentation\n\nPull relevant Notion pages, synthesize findings, and publish clear briefs or reports (with citations and links to sources).\n\n## Quick start\n1) Find sources with `Notion:notion-search` using targeted queries; confirm scope with the user.\n2) Fetch pages via `Notion:notion-fetch`; note key sections and capture citations (`reference\u002Fcitations.md`).\n3) Choose output format (brief, summary, comparison, comprehensive report) using `reference\u002Fformat-selection-guide.md`.\n4) Draft in Notion with `Notion:notion-create-pages` using the matching template (quick, summary, comparison, comprehensive).\n5) Link sources and add a references\u002Fcitations section; update as new info arrives with `Notion:notion-update-page`.\n\n## Workflow\n### 0) If any MCP call fails because Notion MCP is not connected, pause and set it up:\n1. Add the Notion MCP:\n   - `codex mcp add notion --url https:\u002F\u002Fmcp.notion.com\u002Fmcp`\n2. Enable remote MCP client:\n   - Set `[features].rmcp_client = true` in `config.toml` **or** run `codex --enable rmcp_client`\n3. Log in with OAuth:\n   - `codex mcp login notion`\n\nAfter successful login, the user will have to restart codex. You should finish your answer and tell them so when they try again they can continue with Step 1.\n\n### 1) Gather sources\n- Search first (`Notion:notion-search`); refine queries, and ask the user to confirm if multiple results appear.\n- Fetch relevant pages (`Notion:notion-fetch`), skim for facts, metrics, claims, constraints, and dates.\n- Track each source URL\u002FID for later citation; prefer direct quotes for critical facts.\n\n### 2) Select the format\n- Quick readout → quick brief.\n- Single-topic dive → research summary.\n- Option tradeoffs → comparison.\n- Deep dive \u002F exec-ready → comprehensive report.\n- See `reference\u002Fformat-selection-guide.md` for when to pick each.\n\n### 3) Synthesize\n- Outline before writing; group findings by themes\u002Fquestions.\n- Note evidence with source IDs; flag gaps or contradictions.\n- Keep user goal in view (decision, summary, plan, recommendation).\n\n### 4) Create the doc\n- Pick the matching template in `reference\u002F` (brief, summary, comparison, comprehensive) and adapt it.\n- Create the page with `Notion:notion-create-pages`; include title, summary, key findings, supporting evidence, and recommendations\u002Fnext steps when relevant.\n- Add citations inline and a references section; link back to source pages.\n\n### 5) Finalize & handoff\n- Add highlights, risks, and open questions.\n- If the user needs follow-ups, create tasks or a checklist in the page; link any task database entries if applicable.\n- Share a short changelog or status using `Notion:notion-update-page` when updating.\n\n## References and examples\n- `reference\u002F` — search tactics, format selection, templates, and citation rules (e.g., `advanced-search.md`, `format-selection-guide.md`, `research-summary-template.md`, `comparison-template.md`, `citations.md`).\n- `examples\u002F` — end-to-end walkthroughs (e.g., `competitor-analysis.md`, `technical-investigation.md`, `market-research.md`, `trip-planning.md`).\n",{"name":5,"metadata":45,"description":7},{"short-description":46},"Research Notion content and produce briefs\u002Freports","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5",".agents\u002Fskills\u002Fnotion-research-documentation","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":54,"prompt":64,"zipAvailable":65},[55,58,61],{"tool":56,"command":57},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill notion-research-documentation",{"tool":59,"command":60},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill notion-research-documentation",{"tool":62,"command":63},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill notion-research-documentation","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002FSKILL.md",true,[67,73,79,83,87,91,95,99,103,107,111,117,121,125,129,133,137,141,145,149,153,157],{"path":68,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":71,"sourceHtmlUrl":72},"agents\u002Fopenai.yaml","REFERENCE","参考文档",497,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Fagents\u002Fopenai.yaml",{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"assets\u002Fnotion-small.svg","ASSET","资产文件",15777,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Fassets\u002Fnotion-small.svg",{"path":80,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":81,"sourceHtmlUrl":82},"assets\u002Fnotion.png",8526,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Fassets\u002Fnotion.png",{"path":84,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":85,"sourceHtmlUrl":86},"evaluations\u002Fbasic-research.json",1731,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Fevaluations\u002Fbasic-research.json",{"path":88,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":89,"sourceHtmlUrl":90},"evaluations\u002FREADME.md",4254,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Fevaluations\u002FREADME.md",{"path":92,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":93,"sourceHtmlUrl":94},"evaluations\u002Fresearch-to-database.json",1681,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Fevaluations\u002Fresearch-to-database.json",{"path":96,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":97,"sourceHtmlUrl":98},"examples\u002Fcompetitor-analysis.md",8213,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Fexamples\u002Fcompetitor-analysis.md",{"path":100,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":101,"sourceHtmlUrl":102},"examples\u002Fmarket-research.md",1899,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Fexamples\u002Fmarket-research.md",{"path":104,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":105,"sourceHtmlUrl":106},"examples\u002Ftechnical-investigation.md",6521,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Fexamples\u002Ftechnical-investigation.md",{"path":108,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":109,"sourceHtmlUrl":110},"examples\u002Ftrip-planning.md",3789,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Fexamples\u002Ftrip-planning.md",{"path":112,"resourceType":113,"resourceTypeDesc":114,"sizeBytes":115,"sourceHtmlUrl":116},"LICENSE.txt","LICENSE","许可证",1057,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002FLICENSE.txt",{"path":118,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":119,"sourceHtmlUrl":120},"reference\u002Fadvanced-search.md",4593,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fadvanced-search.md",{"path":122,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":123,"sourceHtmlUrl":124},"reference\u002Fcitations.md",5152,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fcitations.md",{"path":126,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":127,"sourceHtmlUrl":128},"reference\u002Fcomparison-format.md",870,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fcomparison-format.md",{"path":130,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":131,"sourceHtmlUrl":132},"reference\u002Fcomparison-template.md",911,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fcomparison-template.md",{"path":134,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":135,"sourceHtmlUrl":136},"reference\u002Fcomprehensive-report-format.md",1077,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fcomprehensive-report-format.md",{"path":138,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":139,"sourceHtmlUrl":140},"reference\u002Fcomprehensive-report-template.md",1270,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fcomprehensive-report-template.md",{"path":142,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":143,"sourceHtmlUrl":144},"reference\u002Fformat-selection-guide.md",2798,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fformat-selection-guide.md",{"path":146,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":147,"sourceHtmlUrl":148},"reference\u002Fquick-brief-format.md",767,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fquick-brief-format.md",{"path":150,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":151,"sourceHtmlUrl":152},"reference\u002Fquick-brief-template.md",473,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fquick-brief-template.md",{"path":154,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":155,"sourceHtmlUrl":156},"reference\u002Fresearch-summary-format.md",841,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fresearch-summary-format.md",{"path":158,"resourceType":69,"resourceTypeDesc":70,"sizeBytes":159,"sourceHtmlUrl":160},"reference\u002Fresearch-summary-template.md",1152,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fnotion-research-documentation\u002Freference\u002Fresearch-summary-template.md",[162,183,210,237,251,267],{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":168,"publishedAt":40},"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",[],[169,170,171,172,173,174,175,176,177,34,178,179,180,181,182],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":184,"name":185,"nameZh":6,"description":186,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":187,"categories":188,"keywords":190,"publishedAt":40},"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",[189],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[191,192,193,194,195,196,197,198,199,200,201,202,203,204,34,205,206,207,208,209],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":211,"name":212,"nameZh":6,"description":213,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":214,"categories":215,"keywords":222,"publishedAt":40},"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",[216,219],{"categoryNo":217,"categoryName":218,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":220,"categoryName":221,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[223,224,225,226,227,228,229,230,231,232,192,233,234,235,236],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":238,"name":239,"nameZh":6,"description":240,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":241,"categories":242,"keywords":243,"publishedAt":40},"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",[],[239,244,245,246,247,248,249,250],"setup","report","project","installation","project setup","issues","state",{"skillNo":252,"name":253,"nameZh":6,"description":254,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":255,"categories":256,"keywords":258,"publishedAt":40},"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",[257],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[253,259,174,260,261,262,34,263,264,265,266],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":268,"name":244,"nameZh":6,"description":269,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":270,"categories":271,"keywords":272,"publishedAt":40},"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",[],[244,246,207,273,248,274],"files","interactive"]