[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCXBESBRA2TG2G20D1M4DZ":3,"skill-same:01M6DCXBESBRA2TG2G20D1M4DZ":60},{"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":34,"linkOnly":35,"markdownContent":36,"markdownBody":37,"frontMatter":38,"refName":40,"commitSha":41,"skillDirectory":42,"forksCount":14,"repositoryHtmlUrl":43,"repositoryHomepageUrl":6,"ownerHtmlUrl":44,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":45,"install":46,"resources":59},"01M6DCXBESBRA2TG2G20D1M4DZ","research-ops",null,"Thin operator entry for the research stack. Use when the user wants fresh facts, comparisons, enrichment, or an evidence-backed recommendation — it routes you to the right research skill rather than duplicating one.","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\u002Fresearch-ops\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33],"research","ops","research ops","operator","enrichment","stack","user","use","evidence","fresh","2026-11-10 10:12:30",false,"---\nname: research-ops\ndescription: Thin operator entry for the research stack. Use when the user wants fresh facts, comparisons, enrichment, or an evidence-backed recommendation — it routes you to the right research skill rather than duplicating one.\norigin: ECC\n---\n\n# Research Ops (thin pointer)\n\nOperator wrapper around the repo's research stack. It does **not** duplicate those skills — it\ntells you which to reach for. The synthesis engine is **`deep-research`**; escalate to it whenever\nthe answer needs multiple sources, citations, or confidence grading.\n\n## Route To\n\n- **`deep-research`** — the orchestrator: multi-source synthesis, numbered citations, confidence\n  grading, basic-memory persistence. Default for anything non-trivial.\n- **`exa` MCP** (`web_search_exa`) — fast current-web discovery for a single quick fact.\n- **`market-research`** — when the outcome must be a ranked recommendation \u002F decision memo.\n- **`lead-intelligence`** — when the real ask is people\u002Fcompany targeting, not generic research.\n- **`knowledge-ops`** — when the result should be stored in durable context afterward.\n- **`search-first`** — SEPARATE domain (research-before-*coding*: find existing libs\u002Fpatterns,\n  invokes the `researcher` agent). Use it, not this, for implementation research.\n\n## Discipline (applies whichever lane you pick)\n\n- Don't answer current questions from stale memory when fresh search is cheap; don't spin up a\n  heavyweight pass when local code\u002Fdocs already hold the answer.\n- Label every claim by evidence type: **sourced fact · user-supplied context · inference ·\n  recommendation**. Freshness-sensitive answers carry concrete dates.\n- If the same lookup will recur, say so and recommend a monitor\u002Fworkflow instead of repeating it.\n\nThe full loop (scope → preflight → dispatch → synthesize → reflect → self-eval → deliver\u002Fpersist),\n","# Research Ops (thin pointer)\n\nOperator wrapper around the repo's research stack. It does **not** duplicate those skills — it\ntells you which to reach for. The synthesis engine is **`deep-research`**; escalate to it whenever\nthe answer needs multiple sources, citations, or confidence grading.\n\n## Route To\n\n- **`deep-research`** — the orchestrator: multi-source synthesis, numbered citations, confidence\n  grading, basic-memory persistence. Default for anything non-trivial.\n- **`exa` MCP** (`web_search_exa`) — fast current-web discovery for a single quick fact.\n- **`market-research`** — when the outcome must be a ranked recommendation \u002F decision memo.\n- **`lead-intelligence`** — when the real ask is people\u002Fcompany targeting, not generic research.\n- **`knowledge-ops`** — when the result should be stored in durable context afterward.\n- **`search-first`** — SEPARATE domain (research-before-*coding*: find existing libs\u002Fpatterns,\n  invokes the `researcher` agent). Use it, not this, for implementation research.\n\n## Discipline (applies whichever lane you pick)\n\n- Don't answer current questions from stale memory when fresh search is cheap; don't spin up a\n  heavyweight pass when local code\u002Fdocs already hold the answer.\n- Label every claim by evidence type: **sourced fact · user-supplied context · inference ·\n  recommendation**. Freshness-sensitive answers carry concrete dates.\n- If the same lookup will recur, say so and recommend a monitor\u002Fworkflow instead of repeating it.\n\nThe full loop (scope → preflight → dispatch → synthesize → reflect → self-eval → deliver\u002Fpersist),\n",{"name":5,"origin":39,"description":7},"ECC","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fresearch-ops","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":47,"prompt":57,"zipAvailable":58},[48,51,54],{"tool":49,"command":50},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill research-ops",{"tool":52,"command":53},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill research-ops",{"tool":55,"command":56},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill research-ops","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\u002Fresearch-ops\u002FSKILL.md",true,[],[61,82,110,137,151,166],{"skillNo":62,"name":63,"nameZh":6,"description":64,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":65,"categories":66,"keywords":67,"publishedAt":34},"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",[],[68,69,70,71,72,73,74,75,76,31,77,78,79,80,81],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":91,"publishedAt":34},"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",[88],{"categoryNo":89,"categoryName":90,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[92,93,94,95,96,97,98,29,99,100,101,102,103,104,31,105,106,107,108,109],"openmm md","how","decision","pick","linux","analyze","tool","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":111,"name":112,"nameZh":6,"description":113,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":114,"categories":115,"keywords":122,"publishedAt":34},"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",[116,119],{"categoryNo":117,"categoryName":118,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":120,"categoryName":121,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[123,124,125,126,127,128,129,130,131,132,93,133,134,135,136],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":143,"publishedAt":34},"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",[],[139,144,145,146,147,148,149,150],"setup","report","project","installation","project setup","issues","state",{"skillNo":152,"name":153,"nameZh":6,"description":154,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":155,"categories":156,"keywords":158,"publishedAt":34},"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",[157],{"categoryNo":89,"categoryName":90,"taxonomyType":21,"taxonomyTypeDesc":22},[153,159,73,160,161,162,31,30,163,164,165],"start issue","issue","ready","work on issue","work","work on","development",{"skillNo":167,"name":144,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":169,"categories":170,"keywords":171,"publishedAt":34},"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",[],[144,146,107,172,148,173],"files","interactive"]