[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71M67915756716ZKRYEHYN2":3,"skill-same:01M71M67915756716ZKRYEHYN2":70},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":52,"ownerHtmlUrl":53,"ownerBlogUrl":54,"ownerDescription":6,"updatedAt":55,"install":56,"resources":69},"01M71M67915756716ZKRYEHYN2","monomind",null,"Complete integration with Monomind — codebase knowledge graph (Monograph), persistent memory (L1\u002FL2), Second Brain document vector search, autonomous agent orgs, and real-time statusline.","monoes\u002Fmonomind","monoes","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F276744696?v=4","01M71KWF37AJ2NJBP3KWBVSDGT","01M71KWF4CSF8ADH0M6HA09VD2",23,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002F.gemini\u002Fskills\u002Fmonomind\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[5,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"autonomous","Vector Search","brain","codebase","integration","with","knowledge graph","l2","document","statusline","knowledge","vector","complete","search","second brain","time","real-time","memory","second","2026-11-10 10:56:23",false,"---\nname: monomind\ndescription: Complete integration with Monomind — codebase knowledge graph (Monograph), persistent memory (L1\u002FL2), Second Brain document vector search, autonomous agent orgs, and real-time statusline.\n---\n\n# Monomind Skill for Antigravity\n\nMonomind extends Antigravity with a local codebase knowledge graph, persistent cross-session memory, semantic document search, autonomous agent orgs, and a real-time system statusline.\n\n## Core Rules & Workflow Integration\n\n### 1. Codebase Knowledge Graph (Monograph)\nBefore searching or modifying code touching 3+ files or exploring a new module:\n- Call `mcp__monomind__monograph_suggest` to discover relevant files, bridge nodes, and isolated nodes.\n- Call `mcp__monomind__monograph_query` for symbol\u002Fkeyword search, with optional one-hop neighbor-expansion reranking.\n- Call `mcp__monomind__monograph_impact` before editing to compute the exact blast radius of a symbol or class change.\n\n### 2. Persistent Memory Loop\n- **Recall**: Use `mcp__monomind__memory_pattern-search` to query past learnings, architectural rules, and session history before reinventing solutions.\n- **Feedback**: After using memory search, call `mcp__monomind__memory_feedback` with entry IDs and outcome quality to continuously train search ranking.\n- **Store**: Distill durable insights (entities, relations, lessons) into L2 memory via `mcp__monomind__memory_kg_ingest` or `mcp__monomind__memory_pattern-store`.\n\n### 3. Second Brain (Document Vector Search)\n- Project specs, handbooks, and notes indexed in `.monomind\u002Fdata` or global brain (`~\u002F.monomind\u002Fglobal-brain`) can be queried using `mcp__monomind__knowledge_search` or `npx monomind doc search -q \"\u003Cquery>\"`.\n\n### 4. Autonomous Orgs Daemon\n- Run background role-based agent organizations using `monomind org run \u003Cname>`.\n- Monitor active orgs via `monomind org status` or `monomind org list`.\n- Check live agent questions using `monomind org questions \u003Cname>` and respond with `monomind org answer \u003Cname> \u003Cq-id> \"\u003Canswer>\"`.\n\n### 5. Monomind Statusline\nTo inspect real-time project progress, domain coverage, graph node counts, and session cost metrics:\n- Execute `node .gemini\u002Fhelpers\u002Fstatusline.cjs` (or `node .claude\u002Fhelpers\u002Fstatusline.cjs` \u002F `npx monomind hooks statusline`).\n\n```bash\n# Example statusline execution\nnode .gemini\u002Fhelpers\u002Fstatusline.cjs\n```\n","# Monomind Skill for Antigravity\n\nMonomind extends Antigravity with a local codebase knowledge graph, persistent cross-session memory, semantic document search, autonomous agent orgs, and a real-time system statusline.\n\n## Core Rules & Workflow Integration\n\n### 1. Codebase Knowledge Graph (Monograph)\nBefore searching or modifying code touching 3+ files or exploring a new module:\n- Call `mcp__monomind__monograph_suggest` to discover relevant files, bridge nodes, and isolated nodes.\n- Call `mcp__monomind__monograph_query` for symbol\u002Fkeyword search, with optional one-hop neighbor-expansion reranking.\n- Call `mcp__monomind__monograph_impact` before editing to compute the exact blast radius of a symbol or class change.\n\n### 2. Persistent Memory Loop\n- **Recall**: Use `mcp__monomind__memory_pattern-search` to query past learnings, architectural rules, and session history before reinventing solutions.\n- **Feedback**: After using memory search, call `mcp__monomind__memory_feedback` with entry IDs and outcome quality to continuously train search ranking.\n- **Store**: Distill durable insights (entities, relations, lessons) into L2 memory via `mcp__monomind__memory_kg_ingest` or `mcp__monomind__memory_pattern-store`.\n\n### 3. Second Brain (Document Vector Search)\n- Project specs, handbooks, and notes indexed in `.monomind\u002Fdata` or global brain (`~\u002F.monomind\u002Fglobal-brain`) can be queried using `mcp__monomind__knowledge_search` or `npx monomind doc search -q \"\u003Cquery>\"`.\n\n### 4. Autonomous Orgs Daemon\n- Run background role-based agent organizations using `monomind org run \u003Cname>`.\n- Monitor active orgs via `monomind org status` or `monomind org list`.\n- Check live agent questions using `monomind org questions \u003Cname>` and respond with `monomind org answer \u003Cname> \u003Cq-id> \"\u003Canswer>\"`.\n\n### 5. Monomind Statusline\nTo inspect real-time project progress, domain coverage, graph node counts, and session cost metrics:\n- Execute `node .gemini\u002Fhelpers\u002Fstatusline.cjs` (or `node .claude\u002Fhelpers\u002Fstatusline.cjs` \u002F `npx monomind hooks statusline`).\n\n```bash\n# Example statusline execution\nnode .gemini\u002Fhelpers\u002Fstatusline.cjs\n```\n",{"name":5,"description":7},"main","f7cd4595d0f8959822163e14f9787117765c931a",".gemini\u002Fskills\u002Fmonomind",2,"https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind","https:\u002F\u002Fmonoes.github.io\u002Fmonomind\u002F","https:\u002F\u002Fgithub.com\u002Fmonoes","https:\u002F\u002Fmonoes.me","2026-11-10 01:53:48",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add monoes\u002Fmonomind --skill monomind",{"tool":62,"command":63},"bunx","bunx skills add monoes\u002Fmonomind --skill monomind",{"tool":65,"command":66},"pnpm","pnpm dlx skills add monoes\u002Fmonomind --skill monomind","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002F.gemini\u002Fskills\u002Fmonomind\u002FSKILL.md",true,[],[71,97,132,158,182,207],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":77,"publishedAt":96},"01M71PB3SHWKMNJM6MD65VX8D6","zk-steward","Org role guidance for a ZK steward: engineer zero-knowledge proof systems with circuit design, SNARK vs STARK choice and security review. This is zero-knowledge cryptography, not Zettelkasten note-taking.","https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002Fpackages\u002F@monomind\u002Fcli\u002Forg-skills\u002Fzk-steward\u002FSKILL.md",[],[78,79,80,81,82,83,84,33,85,86,87,88,5,89,90,91,92,93,94,95],"zk","zk steward","steward","zero-knowledge","engineer","choice","design","impact","query","snark","review","security review","stark","zettelkasten","cryptography","security","org","blockchain","2026-11-10 13:02:02",{"skillNo":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":101,"licenseFileUrl":102,"sourceHtmlUrl":103,"categories":104,"keywords":113,"publishedAt":96},"01M71PB18SDG28WBKPKJNB814K","writing-plans","Use when you have a spec or requirements for a multi-step coding task and must write an implementation plan before touching code. Produces bite-sized TDD tasks with exact file paths, code and commands for an engineer with zero context.","MIT","https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002Fpackages\u002F@monomind\u002Fcli\u002Forg-skills\u002Fwriting-plans\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002Fpackages\u002F@monomind\u002Fcli\u002Forg-skills\u002Fwriting-plans\u002FSKILL.md",[105,108],{"categoryNo":106,"categoryName":107,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[114,115,116,82,117,118,119,120,86,121,122,123,124,125,126,127,128,129,130,131],"writing","writing plans","plans","superpowers","implementation plan","when","you","code","tasks","plan","product","write","commands","paths","suggest","coding","context","ZeRO",{"skillNo":133,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":136,"sourceHtmlUrl":137,"categories":138,"keywords":142,"publishedAt":96},"01M71PAXFM488X9ARXK0T04TF5","write-spec","Write a feature spec or PRD from a problem statement or feature idea. Use when turning a vague idea or user request into a structured document, scoping a feature with goals and non-goals, defining success metrics and acceptance criteria, or breaking a big ask into a phased spec.","https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002Fpackages\u002F@monomind\u002Fcli\u002Forg-skills\u002Fwrite-spec\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002Fpackages\u002F@monomind\u002Fcli\u002Forg-skills\u002Fwrite-spec\u002FSKILL.md",[139],{"categoryNo":140,"categoryName":141,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000031","产品经理",[125,143,144,145,146,33,147,119,148,149,150,124,151,152,153,154,155,156,157,31],"write spec","spec","user request","problem","acceptance","ask","vague","work","request","scoping","idea","metrics","feature","problem statement","use",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":162,"sourceHtmlUrl":163,"categories":164,"keywords":168,"publishedAt":96},"01M71PASSZY800C0RPEARBS918","write-query","Write optimized SQL for your dialect with best practices. Use when translating a natural-language data need into SQL, building a multi-CTE query with joins and aggregations, optimizing a query against a large partitioned table, or getting dialect-specific syntax for Snowflake, BigQuery, Postgres, etc.","https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002Fpackages\u002F@monomind\u002Fcli\u002Forg-skills\u002Fwrite-query\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002Fpackages\u002F@monomind\u002Fcli\u002Forg-skills\u002Fwrite-query\u002FSKILL.md",[165],{"categoryNo":166,"categoryName":167,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000033","数据分析师",[86,125,169,170,171,172,33,157,119,173,174,28,175,150,176,177,178,179,180,181],"write query","postgres","for","snowflake","best practices","natural-language","multi","github","sql","https","syntax","plugins","data",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":192,"publishedAt":96},"01M71PAPTX0T3PF6ETFVR96SJJ","workflow-automation","Org role guidance for workflow automation: build and maintain CI\u002FCD definitions in GitHub Actions or equivalent: triggers, jobs, matrices, caching. Covers path filters, dependency caching, parallel jobs, timeouts and fail-fast ordering.","https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002Fpackages\u002F@monomind\u002Fcli\u002Forg-skills\u002Fworkflow-automation\u002FSKILL.md",[188,191],{"categoryNo":189,"categoryName":190,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[193,194,195,196,171,197,198,199,200,85,201,202,203,86,5,176,204,205,206,178],"Workflow Automation","automation","workflow","parallel","actions","ci","triggers","github actions","maintain","filters","caching","build","dependency","devops",{"skillNo":208,"name":209,"nameZh":6,"description":210,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":211,"categories":212,"keywords":214,"publishedAt":96},"01M71PAM19Z1XTV9NPCFSE2MY8","workflow-architect","Org role guidance for a workflow architect: map full workflow trees for systems, user journeys and agents, covering every branch and failure. Covers discovering workflows from code, handoff contracts, timeouts, recovery paths and observable state.","https:\u002F\u002Fgithub.com\u002Fmonoes\u002Fmonomind\u002Fblob\u002Fmain\u002Fpackages\u002F@monomind\u002Fcli\u002Forg-skills\u002Fworkflow-architect\u002FSKILL.md",[213],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[195,215,216,217,218,219,220,171,221,222,121,223,224,225,5,176,226,227,178,228],"workflow architect","architect","trees","user journeys","branch","planning","map","workflows","architecture","state","leadership","recovery","operations","systems"]