[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DBR0B6QGC9ZEVC6VD0HT8T":3,"skill-same:01M6DBR0B6QGC9ZEVC6VD0HT8T":59},{"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":18,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":14,"repositoryHtmlUrl":42,"repositoryHomepageUrl":6,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M6DBR0B6QGC9ZEVC6VD0HT8T","ralphinho-rfc-pipeline",null,"RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.","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\u002Fralphinho-rfc-pipeline\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32],"pipeline","RFC","ralphinho rfc pipeline","dag","orchestration","merge","quality gates","execution","multi-agent","quality","work","pattern","gates","driven","2026-11-10 10:12:30",false,"---\nname: ralphinho-rfc-pipeline\ndescription: RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.\norigin: ECC\n---\n\n# Ralphinho RFC Pipeline\n\nInspired by [humanplane](https:\u002F\u002Fgithub.com\u002Fhumanplane) style RFC decomposition patterns and multi-unit orchestration workflows.\n\nUse this skill when a feature is too large for a single agent pass and must be split into independently verifiable work units.\n\n## Pipeline Stages\n\n1. RFC intake\n2. DAG decomposition\n3. Unit assignment\n4. Unit implementation\n5. Unit validation\n6. Merge queue and integration\n7. Final system verification\n\n## Unit Spec Template\n\nEach work unit should include:\n- `id`\n- `depends_on`\n- `scope`\n- `acceptance_tests`\n- `risk_level`\n- `rollback_plan`\n\n## Complexity Tiers\n\n- Tier 1: isolated file edits, deterministic tests\n- Tier 2: multi-file behavior changes, moderate integration risk\n- Tier 3: schema\u002Fauth\u002Fperf\u002Fsecurity changes\n\n## Quality Pipeline per Unit\n\n1. research\n2. implementation plan\n3. implementation\n4. tests\n5. review\n6. merge-ready report\n\n## Merge Queue Rules\n\n- Never merge a unit with unresolved dependency failures.\n- Always rebase unit branches on latest integration branch.\n- Re-run integration tests after each queued merge.\n\n## Recovery\n\nIf a unit stalls:\n- evict from active queue\n- snapshot findings\n- regenerate narrowed unit scope\n- retry with updated constraints\n\n## Outputs\n\n- RFC execution log\n- unit scorecards\n- dependency graph snapshot\n- integration risk summary\n","# Ralphinho RFC Pipeline\n\nInspired by [humanplane](https:\u002F\u002Fgithub.com\u002Fhumanplane) style RFC decomposition patterns and multi-unit orchestration workflows.\n\nUse this skill when a feature is too large for a single agent pass and must be split into independently verifiable work units.\n\n## Pipeline Stages\n\n1. RFC intake\n2. DAG decomposition\n3. Unit assignment\n4. Unit implementation\n5. Unit validation\n6. Merge queue and integration\n7. Final system verification\n\n## Unit Spec Template\n\nEach work unit should include:\n- `id`\n- `depends_on`\n- `scope`\n- `acceptance_tests`\n- `risk_level`\n- `rollback_plan`\n\n## Complexity Tiers\n\n- Tier 1: isolated file edits, deterministic tests\n- Tier 2: multi-file behavior changes, moderate integration risk\n- Tier 3: schema\u002Fauth\u002Fperf\u002Fsecurity changes\n\n## Quality Pipeline per Unit\n\n1. research\n2. implementation plan\n3. implementation\n4. tests\n5. review\n6. merge-ready report\n\n## Merge Queue Rules\n\n- Never merge a unit with unresolved dependency failures.\n- Always rebase unit branches on latest integration branch.\n- Re-run integration tests after each queued merge.\n\n## Recovery\n\nIf a unit stalls:\n- evict from active queue\n- snapshot findings\n- regenerate narrowed unit scope\n- retry with updated constraints\n\n## Outputs\n\n- RFC execution log\n- unit scorecards\n- dependency graph snapshot\n- integration risk summary\n",{"name":5,"origin":38,"description":7},"ECC","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5",".agents\u002Fskills\u002Fralphinho-rfc-pipeline","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill ralphinho-rfc-pipeline",{"tool":51,"command":52},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill ralphinho-rfc-pipeline",{"tool":54,"command":55},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill ralphinho-rfc-pipeline","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fralphinho-rfc-pipeline\u002FSKILL.md",true,[],[60,81,112,139,153,168],{"skillNo":61,"name":62,"nameZh":6,"description":63,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":64,"categories":65,"keywords":66,"publishedAt":33},"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",[],[67,68,69,70,71,72,73,74,75,76,77,78,79,26,80],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","use","context","repo","injection","file",{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":92,"publishedAt":33},"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",[87],{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[93,94,95,96,97,98,99,100,101,102,103,104,105,106,76,107,108,109,110,111],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":124,"publishedAt":33},"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",[118,121],{"categoryNo":119,"categoryName":120,"taxonomyType":90,"taxonomyTypeDesc":91},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":122,"categoryName":123,"taxonomyType":90,"taxonomyTypeDesc":91},"01JBSEEDCAT000000000000008","测试与质量",[125,126,127,128,129,130,131,132,133,134,94,135,136,137,138],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":145,"publishedAt":33},"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",[],[141,146,147,148,149,150,151,152],"setup","report","project","installation","project setup","issues","state",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":160,"publishedAt":33},"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",[159],{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},[155,161,72,162,163,164,76,165,29,166,167],"start issue","issue","ready","work on issue","user","work on","development",{"skillNo":169,"name":146,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":173,"publishedAt":33},"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",[],[146,148,109,174,150,175],"files","interactive"]