[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCPGM14PZX59BZS3Z8DHWJ":3,"skill-same:01M6DCPGM14PZX59BZS3Z8DHWJ":73},{"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":26,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":14,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":58,"install":59,"resources":72},"01M6DCPGM14PZX59BZS3Z8DHWJ","knowledge-ops",null,"Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.","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\u002Fknowledge-ops\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"ops","knowledge","knowledge ops","vector stores","systems","local","across","knowledge base","files","ingestion","use","MCP","deduplicate","vector","search","git","repos","sync","storage","memory","2026-11-10 10:12:30",false,"---\nname: knowledge-ops\ndescription: Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.\norigin: ECC\n---\n\n# Knowledge Operations\n\nManage a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across multiple stores.\n\nPrefer the live workspace model:\n- code work lives in the real cloned repos\n- active execution context lives in GitHub, Linear, and repo-local working-context files\n- broader human-facing notes can live in a non-repo context\u002Farchive folder\n- durable cross-machine memory belongs in the knowledge base, not in a shadow repo workspace\n\n## When to Activate\n\n- User wants to save information to their knowledge base\n- Ingesting documents, conversations, or data into structured storage\n- Syncing knowledge across systems (local files, MCP memory, Supabase, Git repos)\n- Deduplicating or organizing existing knowledge\n- User says \"save this to KB\", \"sync knowledge\", \"what do I know about X\", \"ingest this\", \"update the knowledge base\"\n- Any knowledge management task beyond simple memory recall\n\n## Knowledge Architecture\n\n### Layer 1: Active execution truth\n- **Sources:** GitHub issues, PRs, discussions, release notes, Linear issues\u002Fprojects\u002Fdocs\n- **Use for:** the current operational state of the work\n- **Rule:** if something affects an active engineering plan, roadmap, rollout, or release, prefer putting it here first\n\n### Layer 2: Claude Code Memory (Quick Access)\n- **Path:** `~\u002F.claude\u002Fprojects\u002F*\u002Fmemory\u002F`\n- **Format:** Markdown files with frontmatter\n- **Types:** user preferences, feedback, project context, reference\n- **Use for:** quick-access context that persists across conversations\n\n### Layer 3: MCP Memory Server (Structured Knowledge Graph)\n### Layer 4: Knowledge base repo \u002F durable document store\n### Layer 5: External Data Store (Supabase, PostgreSQL, etc.)\n### Layer 6: Local context\u002Farchive folder\n### Ingestion Workflow\n### 1. Classify\n### 2. Deduplicate\n### 3. Store\n### 4. Index\n","# Knowledge Operations\n\nManage a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across multiple stores.\n\nPrefer the live workspace model:\n- code work lives in the real cloned repos\n- active execution context lives in GitHub, Linear, and repo-local working-context files\n- broader human-facing notes can live in a non-repo context\u002Farchive folder\n- durable cross-machine memory belongs in the knowledge base, not in a shadow repo workspace\n\n## When to Activate\n\n- User wants to save information to their knowledge base\n- Ingesting documents, conversations, or data into structured storage\n- Syncing knowledge across systems (local files, MCP memory, Supabase, Git repos)\n- Deduplicating or organizing existing knowledge\n- User says \"save this to KB\", \"sync knowledge\", \"what do I know about X\", \"ingest this\", \"update the knowledge base\"\n- Any knowledge management task beyond simple memory recall\n\n## Knowledge Architecture\n\n### Layer 1: Active execution truth\n- **Sources:** GitHub issues, PRs, discussions, release notes, Linear issues\u002Fprojects\u002Fdocs\n- **Use for:** the current operational state of the work\n- **Rule:** if something affects an active engineering plan, roadmap, rollout, or release, prefer putting it here first\n\n### Layer 2: Claude Code Memory (Quick Access)\n- **Path:** `~\u002F.claude\u002Fprojects\u002F*\u002Fmemory\u002F`\n- **Format:** Markdown files with frontmatter\n- **Types:** user preferences, feedback, project context, reference\n- **Use for:** quick-access context that persists across conversations\n\n### Layer 3: MCP Memory Server (Structured Knowledge Graph)\n### Layer 4: Knowledge base repo \u002F durable document store\n### Layer 5: External Data Store (Supabase, PostgreSQL, etc.)\n### Layer 6: Local context\u002Farchive folder\n### Ingestion Workflow\n### 1. Classify\n### 2. Deduplicate\n### 3. Store\n### 4. Index\n",{"name":5,"origin":52,"description":7},"ECC","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fknowledge-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":60,"prompt":70,"zipAvailable":71},[61,64,67],{"tool":62,"command":63},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill knowledge-ops",{"tool":65,"command":66},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill knowledge-ops",{"tool":68,"command":69},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill knowledge-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\u002Fknowledge-ops\u002FSKILL.md",true,[],[74,95,120,147,161,177],{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":80,"publishedAt":47},"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",[],[81,82,83,84,85,86,87,88,89,37,90,91,92,93,94],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":102,"publishedAt":47},"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",[101],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[103,104,105,106,107,108,109,110,111,112,113,114,115,116,37,117,118,32,119,38],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","do",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":132,"publishedAt":47},"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",[126,129],{"categoryNo":127,"categoryName":128,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":130,"categoryName":131,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[133,134,135,136,137,138,139,140,141,142,104,143,144,145,146],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"publishedAt":47},"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",[],[149,154,155,156,157,158,159,160],"setup","report","project","installation","project setup","issues","state",{"skillNo":162,"name":163,"nameZh":6,"description":164,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":165,"categories":166,"keywords":168,"publishedAt":47},"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",[167],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[163,169,86,170,171,172,37,173,174,175,176],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":178,"name":154,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":182,"publishedAt":47},"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",[],[154,156,32,35,158,183],"interactive"]