[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DDB53FGC2RPYN6CDJ4EWZR":3,"skill-same:01M6DDB53FGC2RPYN6CDJ4EWZR":100},{"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":34,"publishedAt":54,"linkOnly":55,"markdownContent":56,"markdownBody":57,"frontMatter":58,"refName":61,"commitSha":62,"skillDirectory":63,"forksCount":14,"repositoryHtmlUrl":64,"repositoryHomepageUrl":6,"ownerHtmlUrl":65,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":66,"install":67,"resources":80},"01M6DDB53FGC2RPYN6CDJ4EWZR","firecrawl",null,"Web scraping, crawling, structured extraction, site mapping, and change monitoring via the Firecrawl MCP. Use to turn known or discovered URLs into clean markdown or schema-structured JSON, screenshot pages or extract brand identity (colors, fonts, spacing, components), crawl or map entire sites, harvest docs and cookbooks, run competitive or design research, pull structured data with a schema, parse local PDFs and Office files, search the web with operators and domain filters, monitor pages for meaningful changes, search arXiv and GitHub, or drive an autonomous browse agent. Pairs with the Exa MCP (`web_search_exa`) — Exa finds by meaning, Firecrawl fetches, extracts, crawls, and monitors.","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.claude\u002Fskills\u002Ffirecrawl\u002FSKILL.md",[18,23,26,29],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":30,"categoryName":31,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[5,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53],"scraping","operators","local","map","crawl","clean","arxiv","files","filters","autonomous","design","markdown","data","monitoring","search","run","change","components","MCP","2026-11-10 10:12:30",false,"---\nname: firecrawl\ndescription: Web scraping, crawling, structured extraction, site mapping, and change monitoring via the Firecrawl MCP. Use to turn known or discovered URLs into clean markdown or schema-structured JSON, screenshot pages or extract brand identity (colors, fonts, spacing, components), crawl or map entire sites, harvest docs and cookbooks, run competitive or design research, pull structured data with a schema, parse local PDFs and Office files, search the web with operators and domain filters, monitor pages for meaningful changes, search arXiv and GitHub, or drive an autonomous browse agent. Pairs with the Exa MCP (`web_search_exa`) — Exa finds by meaning, Firecrawl fetches, extracts, crawls, and monitors.\nmetadata:\n  origin: custom\n---\n\n# Firecrawl\n\nThe web-data layer: scrape, crawl, map, structured-extract, search, monitor, and autonomously browse the web via the Firecrawl MCP server (`mcp__firecrawl__firecrawl_*`). Where Exa *finds* pages by meaning, Firecrawl *fetches and structures* them — turning any URL (or a whole site) into clean markdown, schema-typed JSON, screenshots, or brand tokens.\n\n## When to Activate\n\n- Scrape a known page into clean markdown, or pull specific data points as JSON\n- Crawl or map a whole site (docs, blog, competitor) for comprehensive coverage\n- Harvest documentation\u002Fcookbooks (like building this skill) into readable text\n- Extract structured data (prices, specs, features, contacts) across many URLs\n- Capture screenshots or **brand identity** (colors, fonts, spacing, UI components) for design research\n- Search the web with operators\u002Fdomain filters and get full page content, not just snippets\n- Monitor a page or a search for meaningful changes over time\n- Find academic papers (arXiv) or GitHub issues\u002FPRs for research\n- Parse a local PDF \u002F Word \u002F Excel file into markdown or structured JSON\n- User says \"scrape\", \"crawl\", \"extract from\", \"map the site\", \"monitor\", or \"get the data from this page\"\n\n## Firecrawl vs Exa — when to use which\n\nThe user has **both**. They are complementary, not redundant:\n\n| Job | Reach for | Why |\n|-----|-----------|-----|\n| Discover pages by meaning, \"find sites like X\", semantic recall | **Exa** (`web_search_exa`) | Neural\u002Fembedding search; best when you don't know the URL |\n\n### MCP Requirement\n### Tool Routing (decision table)\n### Core Tools\n### firecrawl_scrape\n### firecrawl_crawl\n### firecrawl_map\n### firecrawl_extract\n### firecrawl_search\n### firecrawl_agent \u002F firecrawl_agent_status\n### firecrawl_research_* (paper \u002F GitHub index)\n### firecrawl_parse\n","# Firecrawl\n\nThe web-data layer: scrape, crawl, map, structured-extract, search, monitor, and autonomously browse the web via the Firecrawl MCP server (`mcp__firecrawl__firecrawl_*`). Where Exa *finds* pages by meaning, Firecrawl *fetches and structures* them — turning any URL (or a whole site) into clean markdown, schema-typed JSON, screenshots, or brand tokens.\n\n## When to Activate\n\n- Scrape a known page into clean markdown, or pull specific data points as JSON\n- Crawl or map a whole site (docs, blog, competitor) for comprehensive coverage\n- Harvest documentation\u002Fcookbooks (like building this skill) into readable text\n- Extract structured data (prices, specs, features, contacts) across many URLs\n- Capture screenshots or **brand identity** (colors, fonts, spacing, UI components) for design research\n- Search the web with operators\u002Fdomain filters and get full page content, not just snippets\n- Monitor a page or a search for meaningful changes over time\n- Find academic papers (arXiv) or GitHub issues\u002FPRs for research\n- Parse a local PDF \u002F Word \u002F Excel file into markdown or structured JSON\n- User says \"scrape\", \"crawl\", \"extract from\", \"map the site\", \"monitor\", or \"get the data from this page\"\n\n## Firecrawl vs Exa — when to use which\n\nThe user has **both**. They are complementary, not redundant:\n\n| Job | Reach for | Why |\n|-----|-----------|-----|\n| Discover pages by meaning, \"find sites like X\", semantic recall | **Exa** (`web_search_exa`) | Neural\u002Fembedding search; best when you don't know the URL |\n\n### MCP Requirement\n### Tool Routing (decision table)\n### Core Tools\n### firecrawl_scrape\n### firecrawl_crawl\n### firecrawl_map\n### firecrawl_extract\n### firecrawl_search\n### firecrawl_agent \u002F firecrawl_agent_status\n### firecrawl_research_* (paper \u002F GitHub index)\n### firecrawl_parse\n",{"name":5,"metadata":59,"description":7},{"origin":60},"custom","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.claude\u002Fskills\u002Ffirecrawl","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":68,"prompt":78,"zipAvailable":79},[69,72,75],{"tool":70,"command":71},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill firecrawl",{"tool":73,"command":74},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill firecrawl",{"tool":76,"command":77},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill firecrawl","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.claude\u002Fskills\u002Ffirecrawl\u002FSKILL.md",true,[81,86,92,96],{"path":82,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":84,"sourceHtmlUrl":85},"LICENSE","许可证",1068,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fanndata-general-io\u002FLICENSE",{"path":87,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":90,"sourceHtmlUrl":91},"provenance\u002Foriginal.io_operations.md","REFERENCE","参考文档",9456,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fanndata-general-io\u002Fprovenance\u002Foriginal.io_operations.md",{"path":93,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":94,"sourceHtmlUrl":95},"provenance\u002Foriginal.SKILL.md",10213,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fanndata-general-io\u002Fprovenance\u002Foriginal.SKILL.md",{"path":97,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":98,"sourceHtmlUrl":99},"repair.json",1808,"https:\u002F\u002Fgithub.com\u002Fstrmt7\u002Fai_skills_collection_benchmarked\u002Fblob\u002Fmain\u002Fincluded\u002Frepaired\u002Fskills\u002Fby-category\u002Fscience-research-data-analysis\u002Flatest-release-community\u002Fanndata-general-io\u002Frepair.json",[101,123,148,175,189,205],{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":54},"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",[],[108,109,110,111,112,113,114,115,116,117,118,119,120,121,122],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","use","context","repo","injection","execution","file",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":130,"publishedAt":54},"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",[129],{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},[131,132,133,134,135,136,137,138,139,140,141,142,143,144,117,145,146,37,147,53],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","do",{"skillNo":149,"name":150,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":160,"publishedAt":54},"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",[154,157],{"categoryNo":155,"categoryName":156,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":158,"categoryName":159,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[161,162,163,164,165,166,167,168,169,170,132,171,172,173,174],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":176,"name":177,"nameZh":6,"description":178,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":179,"categories":180,"keywords":181,"publishedAt":54},"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",[],[177,182,183,184,185,186,187,188],"setup","report","project","installation","project setup","issues","state",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":193,"categories":194,"keywords":196,"publishedAt":54},"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",[195],{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},[191,197,113,198,199,200,117,201,202,203,204],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":206,"name":182,"nameZh":6,"description":207,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":208,"categories":209,"keywords":210,"publishedAt":54},"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",[],[182,184,37,42,186,211],"interactive"]