[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCPA3WQAB7T1DYR1A6D6FP":3,"skill-same:01M6DCPA3WQAB7T1DYR1A6D6FP":77},{"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":31,"publishedAt":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":14,"repositoryHtmlUrl":60,"repositoryHomepageUrl":6,"ownerHtmlUrl":61,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":62,"install":63,"resources":76},"01M6DCPA3WQAB7T1DYR1A6D6FP","jina-reader",null,"Zero-RAM, server-less way to fetch a single web page as clean, LLM-ready markdown via a one-line HTTP GET to Jina Reader (r.jina.ai plus the target URL) — no MCP, no resident process. Use as the cheapest first hop for a simple or mostly-static page (article, doc, blog, README, changelog) when you just need its readable text and do not need crawling, JS rendering, screenshots, or schema extraction. Escalate to the Firecrawl MCP for JS-heavy or dynamic pages, crawling, or structured extraction; use the exa MCP web_fetch for batch URL reads. NEVER hardcode the Jina API key.","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\u002Fjina-reader\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"jina reader","reader","schema","as","pages","get","do","exa","clean","ready","never","MCP","use","fetch","README","just","page","api","ZeRO","http","2026-11-10 10:12:30",false,"---\nname: jina-reader\ndescription: >\n  Zero-RAM, server-less way to fetch a single web page as clean, LLM-ready markdown via a one-line\n  HTTP GET to Jina Reader (r.jina.ai plus the target URL) — no MCP, no resident process. Use as the\n  cheapest first hop for a simple or mostly-static page (article, doc, blog, README, changelog) when\n  you just need its readable text and do not need crawling, JS rendering, screenshots, or schema\n  extraction. Escalate to the Firecrawl MCP for JS-heavy or dynamic pages, crawling, or structured\n  extraction; use the exa MCP web_fetch for batch URL reads. NEVER hardcode the Jina API key.\n---\n\n# Jina Reader (zero-RAM page fetch)\n\nFetch one URL as clean markdown with a single HTTP GET — no MCP server, no subprocess, no RAM\nfootprint. This is the leanest fetch in the stack; reach for it before waking a heavier tool.\n\n## When to use\n\n- A **simple \u002F mostly-static** page: article, blog post, docs page, README, changelog, release notes.\n- You need the **readable text\u002Fmarkdown**, not screenshots, brand extraction, crawling, or a schema.\n- You want to avoid spawning a resident MCP process (RAM-conscious sessions).\n\nPrefer a heavier tool when: the page is JS-heavy \u002F renders client-side, you need to **crawl** or\n**map** a site, you need **structured\u002Fschema extraction** or **screenshots** (use `firecrawl`), or\nyou want to **batch** many URLs in one call (use the `exa` MCP `web_fetch_exa`).\n\n## How (HTTP GET — pick your client)\n\nPrefix the target URL with `https:\u002F\u002Fr.jina.ai\u002F`:\n\n```bash\n# Bash \u002F curl\ncurl -sS \"https:\u002F\u002Fr.jina.ai\u002Fhttps:\u002F\u002Fexample.com\u002Fsome\u002Farticle\"\n```\n\nYou can also use the `WebFetch` tool against `https:\u002F\u002Fr.jina.ai\u002F\u003CTARGET_URL>` — same idea, no shell.\n\n### Optional headers\n\n- `Authorization: Bearer $JINA_API_KEY` — higher rate limits + the free 10M-token allowance. Read the\n  key from the environment; **never hardcode or print it**. Skip the header entirely for anonymous use.\n- `X-Return-Format: markdown` (default) — also `text`, `html`.\n- `X-Target-Selector: \u003Ccss>` \u002F `X-Remove-Selector: \u003Ccss>` — keep\u002Fdrop parts of the DOM.\n- `X-With-Links-Summary: true` — append a consolidated list of the page's links.\n\n### Authenticated (key from env — never inline the literal)\n### Fallback chain\n### Guardrails\n","# Jina Reader (zero-RAM page fetch)\n\nFetch one URL as clean markdown with a single HTTP GET — no MCP server, no subprocess, no RAM\nfootprint. This is the leanest fetch in the stack; reach for it before waking a heavier tool.\n\n## When to use\n\n- A **simple \u002F mostly-static** page: article, blog post, docs page, README, changelog, release notes.\n- You need the **readable text\u002Fmarkdown**, not screenshots, brand extraction, crawling, or a schema.\n- You want to avoid spawning a resident MCP process (RAM-conscious sessions).\n\nPrefer a heavier tool when: the page is JS-heavy \u002F renders client-side, you need to **crawl** or\n**map** a site, you need **structured\u002Fschema extraction** or **screenshots** (use `firecrawl`), or\nyou want to **batch** many URLs in one call (use the `exa` MCP `web_fetch_exa`).\n\n## How (HTTP GET — pick your client)\n\nPrefix the target URL with `https:\u002F\u002Fr.jina.ai\u002F`:\n\n```bash\n# Bash \u002F curl\ncurl -sS \"https:\u002F\u002Fr.jina.ai\u002Fhttps:\u002F\u002Fexample.com\u002Fsome\u002Farticle\"\n```\n\nYou can also use the `WebFetch` tool against `https:\u002F\u002Fr.jina.ai\u002F\u003CTARGET_URL>` — same idea, no shell.\n\n### Optional headers\n\n- `Authorization: Bearer $JINA_API_KEY` — higher rate limits + the free 10M-token allowance. Read the\n  key from the environment; **never hardcode or print it**. Skip the header entirely for anonymous use.\n- `X-Return-Format: markdown` (default) — also `text`, `html`.\n- `X-Target-Selector: \u003Ccss>` \u002F `X-Remove-Selector: \u003Ccss>` — keep\u002Fdrop parts of the DOM.\n- `X-With-Links-Summary: true` — append a consolidated list of the page's links.\n\n### Authenticated (key from env — never inline the literal)\n### Fallback chain\n### Guardrails\n",{"name":5,"description":7},"main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fjina-reader","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":64,"prompt":74,"zipAvailable":75},[65,68,71],{"tool":66,"command":67},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill jina-reader",{"tool":69,"command":70},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill jina-reader",{"tool":72,"command":73},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill jina-reader","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\u002Fjina-reader\u002FSKILL.md",true,[],[78,99,124,150,164,179],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":84,"publishedAt":52},"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",[],[85,86,87,88,89,90,91,92,93,44,94,95,96,97,98],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":103,"categories":104,"keywords":106,"publishedAt":52},"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",[105],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[107,108,109,110,111,112,113,114,115,116,117,118,119,120,44,121,122,123,38,43],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local",{"skillNo":125,"name":126,"nameZh":6,"description":127,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":128,"categories":129,"keywords":136,"publishedAt":52},"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",[130,133],{"categoryNo":131,"categoryName":132,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":134,"categoryName":135,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[137,138,139,36,140,141,142,143,144,145,108,146,147,148,149],"review","visual","visual review","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":156,"publishedAt":52},"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",[],[152,157,158,159,160,161,162,163],"setup","report","project","installation","project setup","issues","state",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":171,"publishedAt":52},"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",[170],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[166,172,90,173,41,174,44,175,176,177,178],"start issue","issue","work on issue","user","work","work on","development",{"skillNo":180,"name":157,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":184,"publishedAt":52},"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",[],[157,159,123,185,161,186],"files","interactive"]