[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCTVCA6KXP0N4HP0PGWSGZ":3,"skill-same:01M6DCTVCA6KXP0N4HP0PGWSGZ":72},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":14,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":57,"install":58,"resources":71},"01M6DCTVCA6KXP0N4HP0PGWSGZ","prompt-optimizer",null,"Use when prompt optimizer is needed. Analyze raw prompts, identify intent and gaps, match ECC components (skills\u002Fcommands\u002Fagents\u002Fhooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says \"optimize prompt\", \"improve my.","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\u002Fprompt-optimizer\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"prompt optimizer","prompt","optimizer","trigger","components","commands","advisory","optimize","task","intent","community","prompts","hooks","ready","only","never","use","user","analyze","improve","2026-11-10 10:12:30",false,"---\nname: prompt-optimizer\ndescription: \"Use when prompt optimizer is needed. Analyze raw prompts, identify intent and gaps, match ECC components (skills\u002Fcommands\u002Fagents\u002Fhooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says \\\"optimize prompt\\\", \\\"improve my.\"\norigin: community\nmetadata:\n  author: YannJY02\n  version: \"1.0.0\"\n---\n\n# Prompt Optimizer\n\nAnalyze a draft prompt, critique it, match it to ECC ecosystem components,\nand output a complete optimized prompt the user can paste and run.\n\n## When to Use\n\n- User says \"optimize this prompt\", \"improve my prompt\", \"rewrite this prompt\"\n- User says \"help me write a better prompt for...\"\n- User says \"what's the best way to ask Claude Code to...\"\n- User says \"优化prompt\", \"改进prompt\", \"怎么写prompt\", \"帮我优化这个指令\"\n- User pastes a draft prompt and asks for feedback or enhancement\n- User says \"I don't know how to prompt for this\"\n- User says \"how should I use ECC for...\"\n- User explicitly invokes `\u002Fprompt-optimize`\n\n### Do Not Use When\n\n- User wants the task done directly (just execute it)\n- User says \"优化代码\", \"优化性能\", \"optimize this code\", \"optimize performance\" — these are refactoring tasks, not prompt optimization\n- User is asking about ECC configuration (use `configure-ecc` instead)\n- User wants a skill inventory (use `skill-stocktake` instead)\n- User says \"just do it\" or \"直接做\"\n\n## How It Works\n\n**Advisory only — do not execute the user's task.**\n\nDo NOT write code, create files, run commands, or take any implementation\naction. Your ONLY output is an analysis plus an optimized prompt.\n\nIf the user says \"just do it\", \"直接做\", or \"don't optimize, just execute\",\ndo not switch into implementation mode inside this skill. Tell the user this\nskill only produces optimized prompts, and instruct them to make a normal\ntask request if they want execution instead.\n\nRun this 6-phase pipeline sequentially. Present results using the Output Format below.\n\n### Analysis Pipeline\n### Phase 0: Project Detection\n### Phase 1: Intent Detection\n### Phase 2: Scope Assessment\n### Phase 3: ECC Component Matching\n### Phase 4: Missing Context Detection\n### Phase 5: Workflow & Model Recommendation\n### Output Format\n### Section 1: Prompt Diagnosis\n### Section 2: Recommended ECC Components\n","# Prompt Optimizer\n\nAnalyze a draft prompt, critique it, match it to ECC ecosystem components,\nand output a complete optimized prompt the user can paste and run.\n\n## When to Use\n\n- User says \"optimize this prompt\", \"improve my prompt\", \"rewrite this prompt\"\n- User says \"help me write a better prompt for...\"\n- User says \"what's the best way to ask Claude Code to...\"\n- User says \"优化prompt\", \"改进prompt\", \"怎么写prompt\", \"帮我优化这个指令\"\n- User pastes a draft prompt and asks for feedback or enhancement\n- User says \"I don't know how to prompt for this\"\n- User says \"how should I use ECC for...\"\n- User explicitly invokes `\u002Fprompt-optimize`\n\n### Do Not Use When\n\n- User wants the task done directly (just execute it)\n- User says \"优化代码\", \"优化性能\", \"optimize this code\", \"optimize performance\" — these are refactoring tasks, not prompt optimization\n- User is asking about ECC configuration (use `configure-ecc` instead)\n- User wants a skill inventory (use `skill-stocktake` instead)\n- User says \"just do it\" or \"直接做\"\n\n## How It Works\n\n**Advisory only — do not execute the user's task.**\n\nDo NOT write code, create files, run commands, or take any implementation\naction. Your ONLY output is an analysis plus an optimized prompt.\n\nIf the user says \"just do it\", \"直接做\", or \"don't optimize, just execute\",\ndo not switch into implementation mode inside this skill. Tell the user this\nskill only produces optimized prompts, and instruct them to make a normal\ntask request if they want execution instead.\n\nRun this 6-phase pipeline sequentially. Present results using the Output Format below.\n\n### Analysis Pipeline\n### Phase 0: Project Detection\n### Phase 1: Intent Detection\n### Phase 2: Scope Assessment\n### Phase 3: ECC Component Matching\n### Phase 4: Missing Context Detection\n### Phase 5: Workflow & Model Recommendation\n### Output Format\n### Section 1: Prompt Diagnosis\n### Section 2: Recommended ECC Components\n",{"name":5,"origin":34,"metadata":49,"description":7},{"author":50,"version":51},"YannJY02","1.0.0","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fprompt-optimizer","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill prompt-optimizer",{"tool":64,"command":65},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill prompt-optimizer",{"tool":67,"command":68},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill prompt-optimizer","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\u002Fprompt-optimizer\u002FSKILL.md",true,[],[73,92,118,145,159,173],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":79,"publishedAt":44},"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",[],[80,81,82,83,84,32,35,85,86,40,87,88,89,90,91],"clarify requirements","clarify","requirements","risk","options","goal","scanning","context","repo","injection","execution","file",{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":99,"publishedAt":44},"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",[98],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[100,101,102,103,104,42,105,106,107,108,109,110,111,112,40,113,114,115,116,117],"openmm md","how","decision","pick","linux","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":130,"publishedAt":44},"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",[124,127],{"categoryNo":125,"categoryName":126,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":128,"categoryName":129,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[131,132,133,134,135,136,137,138,139,140,101,141,142,143,144],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":151,"publishedAt":44},"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",[],[147,152,153,154,155,156,157,158],"setup","report","project","installation","project setup","issues","state",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":166,"publishedAt":44},"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",[165],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[161,167,32,168,37,169,40,41,170,171,172],"start issue","issue","work on issue","work","work on","development",{"skillNo":174,"name":152,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":178,"publishedAt":44},"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",[],[152,154,115,179,156,180],"files","interactive"]