[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CWM9D1YBAXZQKDXYJPEWKA":3,"skill-same:01M6CWM9D1YBAXZQKDXYJPEWKA":90},{"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":27,"publishedAt":48,"linkOnly":49,"markdownContent":50,"markdownBody":51,"frontMatter":52,"refName":68,"commitSha":69,"skillDirectory":70,"forksCount":71,"repositoryHtmlUrl":72,"repositoryHomepageUrl":73,"ownerHtmlUrl":74,"ownerBlogUrl":6,"ownerDescription":75,"updatedAt":76,"install":77,"resources":89},"01M6CWM9D1YBAXZQKDXYJPEWKA","aios-codemap-ops",null,"Quick reference for code-review-graph (CRG) MCP tools. Use when you need to look up a CRG tool name, parameter, or pattern. For workflow guidance, see AGENTS.md decision checkpoints. Requires `aios internal codemap install`.","rexleimo\u002Faios","rexleimo","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F11493796?v=4","01M6CWKTCXA8E158HVHMGAD9B5","01M6CWKTGWTT9MMTDYQ4B61CGQ",62,"MIT","https:\u002F\u002Fgithub.com\u002Frexleimo\u002Faios\u002Fblob\u002Fmain\u002Fskill-sources\u002Faios-codemap-ops\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"aios codemap ops","codemap","ops","up","crg","aios","zcode","qoder","project","pattern","opencode","MCP","install","decision","Tools","code-review","code","quick reference","workflow","review","2026-11-10 10:12:30",false,"---\nname: aios-codemap-ops\ndescription: >\n  Quick reference for code-review-graph (CRG) MCP tools. Use when you need\n  to look up a CRG tool name, parameter, or pattern. For workflow guidance,\n  see AGENTS.md decision checkpoints. Requires `aios internal codemap install`.\n\ninstallCatalogName: aios-codemap-ops\nclients: [codex, claude, gemini, opencode, hermes, workbuddy, pi, zcode, qoder]\nscopes: [global, project]\ndefaultInstall:\n  global: true\n  project: false\ntags: [aios, codemap, code-review, crg, reference]\nrepoTargets: [codex, claude, gemini, opencode, hermes, workbuddy, pi, zcode, qoder]\n---\n\n## CRG Tool Quick Reference\n\n## Install\u002FDoctor Targets\n\n`aios internal codemap install --client all` should make CRG available to the AIOS-supported clients:\n\n| Client | Config written |\n|--------|----------------|\n| Codex | `~\u002F.codex\u002Fconfig.toml` (`[mcp_servers.code-review-graph]`) |\n| Claude Code | `\u003Cproject>\u002F.mcp.json` |\n| Gemini CLI | `\u003Cproject>\u002F.gemini\u002Fsettings.json` |\n| OpenCode | `~\u002F.config\u002Fopencode\u002Fopencode.json` plus `plugins\u002Fcrg-plugin.ts` |\n\nIf a client cannot see CRG tools, run `aios internal codemap doctor --fix --client \u003Cclient>` from the target project, then restart that client.\n\n## Structured-plan context candidates\n\nWhen you know a structured-plan task's implementation target, do not ask a human to hand-author every supporting context reference.\n\n1. Call AIOS MCP `aios_plan_task` with `action: \"propose_context\"`, the active `task_id`, and workspace-relative `targets` when the task has no targets yet.\n2. AIOS derives a durable proposal from the target plus CRG callers, callees\u002Fimports, and tests. This proposal is reviewable only; it does not alter `.aios\u002Fplanning\u002Factive.json`.\n3. Present the refs and reasons to the human. Ask a human to activate all candidates with `aios plan task \u003Cid> --confirm-context-candidates`, or select a subset by repeating `--candidate-ref \u003Cref>`; this is an explicit process step, not an identity\u002Fauthentication boundary.\n4. Only after confirmation may you say that the task has active execution context or invoke context-dependent orchestration.\n\n### query_graph patterns\n\n| Pattern | Returns |\n|---------|---------|\n| `callers_of` | Functions that call the target |\n| `callees_of` | Functions called by the target |\n| `imports_of` | Imports from a file\u002Fmodule |\n| `importers_of` | Files that import a file\u002Fmodule |\n| `children_of` | Nodes contained in a file\u002Fclass |\n| `tests_for` | Tests covering the target |\n| `inheritors_of` | Classes inheriting from target |\n| `file_summary` | All nodes in a file |\n\n### refactor_tool modes\n\n| Mode | Action |\n|------|--------|\n| `rename` | Preview rename across all locations |\n| `dead_code` | Find unreferenced symbols |\n| `suggest` | Community-driven refactoring suggestions |\n\n### Confidence tiers\n\n| Tier | Meaning |\n|------|---------|\n| `EXTRACTED` | Certain — directly parsed from code |\n| `INFERRED` | Likely — deduced from patterns |\n| `AMBIGUOUS` | Guess — low confidence |\n\n### detail_level\n\n- **minimal** (default): summary + counts + key entity names\n- **standard**: full output with node\u002Fedge details\n\nAlways start with `minimal`. Escalate to `standard` only when insufficient.\n\n### Key tool parameters\n\n| Tool | Key params |\n|------|-----------|\n| `get_minimal_context` | `task` (required) |\n| `detect_changes` | `base`, `detail_level`, `changed_files` |\n| `get_impact_radius` | `changed_files`, `max_depth`, `detail_level` |\n| `get_review_context` | `base`, `detail_level`, `include_source` |\n| `get_affected_flows` | `changed_files`, `base` |\n| `semantic_search_nodes` | `query`, `kind`, `limit` |\n| `query_graph` | `pattern`, `target`, `detail_level` |\n| `traverse_graph` | `query`, `mode` (bfs\u002Fdfs), `depth`, `token_budget` |\n| `find_large_functions` | `min_lines`, `kind`, `file_path_pattern` |\n| `get_architecture_overview` | (none) |\n| `get_hub_nodes` | `top_n` |\n| `get_bridge_nodes` | `top_n` |\n| `get_knowledge_gaps` | (none) |\n| `get_surprising_connections` | `top_n` |\n| `get_suggested_questions` | (none) |\n","## CRG Tool Quick Reference\n\n## Install\u002FDoctor Targets\n\n`aios internal codemap install --client all` should make CRG available to the AIOS-supported clients:\n\n| Client | Config written |\n|--------|----------------|\n| Codex | `~\u002F.codex\u002Fconfig.toml` (`[mcp_servers.code-review-graph]`) |\n| Claude Code | `\u003Cproject>\u002F.mcp.json` |\n| Gemini CLI | `\u003Cproject>\u002F.gemini\u002Fsettings.json` |\n| OpenCode | `~\u002F.config\u002Fopencode\u002Fopencode.json` plus `plugins\u002Fcrg-plugin.ts` |\n\nIf a client cannot see CRG tools, run `aios internal codemap doctor --fix --client \u003Cclient>` from the target project, then restart that client.\n\n## Structured-plan context candidates\n\nWhen you know a structured-plan task's implementation target, do not ask a human to hand-author every supporting context reference.\n\n1. Call AIOS MCP `aios_plan_task` with `action: \"propose_context\"`, the active `task_id`, and workspace-relative `targets` when the task has no targets yet.\n2. AIOS derives a durable proposal from the target plus CRG callers, callees\u002Fimports, and tests. This proposal is reviewable only; it does not alter `.aios\u002Fplanning\u002Factive.json`.\n3. Present the refs and reasons to the human. Ask a human to activate all candidates with `aios plan task \u003Cid> --confirm-context-candidates`, or select a subset by repeating `--candidate-ref \u003Cref>`; this is an explicit process step, not an identity\u002Fauthentication boundary.\n4. Only after confirmation may you say that the task has active execution context or invoke context-dependent orchestration.\n\n### query_graph patterns\n\n| Pattern | Returns |\n|---------|---------|\n| `callers_of` | Functions that call the target |\n| `callees_of` | Functions called by the target |\n| `imports_of` | Imports from a file\u002Fmodule |\n| `importers_of` | Files that import a file\u002Fmodule |\n| `children_of` | Nodes contained in a file\u002Fclass |\n| `tests_for` | Tests covering the target |\n| `inheritors_of` | Classes inheriting from target |\n| `file_summary` | All nodes in a file |\n\n### refactor_tool modes\n\n| Mode | Action |\n|------|--------|\n| `rename` | Preview rename across all locations |\n| `dead_code` | Find unreferenced symbols |\n| `suggest` | Community-driven refactoring suggestions |\n\n### Confidence tiers\n\n| Tier | Meaning |\n|------|---------|\n| `EXTRACTED` | Certain — directly parsed from code |\n| `INFERRED` | Likely — deduced from patterns |\n| `AMBIGUOUS` | Guess — low confidence |\n\n### detail_level\n\n- **minimal** (default): summary + counts + key entity names\n- **standard**: full output with node\u002Fedge details\n\nAlways start with `minimal`. Escalate to `standard` only when insufficient.\n\n### Key tool parameters\n\n| Tool | Key params |\n|------|-----------|\n| `get_minimal_context` | `task` (required) |\n| `detect_changes` | `base`, `detail_level`, `changed_files` |\n| `get_impact_radius` | `changed_files`, `max_depth`, `detail_level` |\n| `get_review_context` | `base`, `detail_level`, `include_source` |\n| `get_affected_flows` | `changed_files`, `base` |\n| `semantic_search_nodes` | `query`, `kind`, `limit` |\n| `query_graph` | `pattern`, `target`, `detail_level` |\n| `traverse_graph` | `query`, `mode` (bfs\u002Fdfs), `depth`, `token_budget` |\n| `find_large_functions` | `min_lines`, `kind`, `file_path_pattern` |\n| `get_architecture_overview` | (none) |\n| `get_hub_nodes` | `top_n` |\n| `get_bridge_nodes` | `top_n` |\n| `get_knowledge_gaps` | (none) |\n| `get_surprising_connections` | `top_n` |\n| `get_suggested_questions` | (none) |\n",{"name":5,"tags":53,"scopes":55,"clients":57,"description":64,"repoTargets":65,"defaultInstall":66,"installCatalogName":5},[33,29,43,32,54],"reference",[56,36],"global",[58,59,60,38,61,62,63,34,35],"codex","claude","gemini","hermes","workbuddy","pi","Quick reference for code-review-graph (CRG) MCP tools. Use when you need to look up a CRG tool name, parameter, or pattern. For workflow guidance, see AGENTS.md decision checkpoints. Requires `aios internal codemap install`.\n",[58,59,60,38,61,62,63,34,35],{"global":67,"project":49},true,"main","125f0c919bcb02c316fd4dcbf10e555fad7ac852","skill-sources\u002Faios-codemap-ops",11,"https:\u002F\u002Fgithub.com\u002Frexleimo\u002Faios","https:\u002F\u002Fcli.rexai.top\u002F","https:\u002F\u002Fgithub.com\u002Frexleimo","Quickly build your laravel environment","2026-11-07 23:34:17",{"source":8,"skillName":5,"commands":78,"prompt":88,"zipAvailable":67},[79,82,85],{"tool":80,"command":81},"npx","npx skills add rexleimo\u002Faios --skill aios-codemap-ops",{"tool":83,"command":84},"bunx","bunx skills add rexleimo\u002Faios --skill aios-codemap-ops",{"tool":86,"command":87},"pnpm","pnpm dlx skills add rexleimo\u002Faios --skill aios-codemap-ops","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Frexleimo\u002Faios\u002Fblob\u002Fmain\u002Fskill-sources\u002Faios-codemap-ops\u002FSKILL.md",[],[91,112,128,146,168,187],{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":48},"01M6CWQB49G29K3K6DEVQDA61G","versioning-by-impact","Use when completing a task and deciding whether repository changes require a semantic version bump and changelog entry before commit\u002Fpush.","https:\u002F\u002Fgithub.com\u002Frexleimo\u002Faios\u002Fblob\u002Fmain\u002Fskill-sources\u002Fversioning-by-impact\u002FSKILL.md",[],[98,99,60,100,101,102,103,104,105,63,106,107,38,108,109,110,111,36,35,34],"versioning","versioning by impact","commit","release","changelog","push","repository","changelog entry","use","version","bump","general","version bump","task",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":119,"publishedAt":48},"01M6CWQ8HA0ZDKAKS0VFXJZ6TW","verification-loop","Evidence-before-assertions workflow. Use before claiming work is done, before release, and after any behavior change in scripts\u002Fskills\u002FMCP.","https:\u002F\u002Fgithub.com\u002Frexleimo\u002Faios\u002Fblob\u002Fmain\u002Fskill-sources\u002Fverification-loop\u002FSKILL.md",[118],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[120,121,122,39,60,58,46,123,101,124,125,63,106,126,38,109,127,36,35,34],"verification","loop","verification loop","change","work","behavior","evidence","done",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":136,"publishedAt":48},"01M6CWQ5A61P9QTRK4HRV76MT3","typesafe-ai","Build AI-powered software with TypeSafe: small units of AI intelligence you can use like programming primitives. Its System One models, including Jev, turn natural language and application state into typed judgments and probabilities that code can combine. Use when a feature needs programmable common sense, when brainstorming what AI could make possible in an app, or when an LLM prompt-and-parse step could become a structured decision. Applications include routing, ranking, extraction, verification, and interactive experiences; these are starting points, not the limits. Read live docs and cookbooks to find useful patterns and discover new combinations.","https:\u002F\u002Fgithub.com\u002Frexleimo\u002Faios\u002Fblob\u002Fmain\u002Fskill-sources\u002Ftypesafe-ai\u002FSKILL.md",[134,135],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},[137,60,44,120,138,41,139,140,63,141,38,142,143,144,36,145,35,34,33,130],"typesafe ai","system","common","read","primitives","patterns","natural language","intelligence","discover",{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":153,"publishedAt":48},"01M6CWQ1HAVFV6KQ0CR549Y9AP","skill-opt-lite","Train and optimize skill documents using the SkillOpt methodology — the agent acts as both target and optimizer, running tasks, reflecting on failures, proposing edits, and validating improvements in a self-contained training loop. TRIGGER: optimize skill, train skill, improve skill, skill training, skill optimization, SkillOpt, skill evolution, skill iteration loop, skill feedback loop, skill tuning.","https:\u002F\u002Fgithub.com\u002Frexleimo\u002Faios\u002Fblob\u002Fmain\u002Fskill-sources\u002Fskill-opt-lite\u002FSKILL.md",[152],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[154,60,155,156,157,158,159,160,161,121,162,38,163,164,165,36,35,34,166,167],"skill opt lite","documents","training","tasks","improve skill","Optimization","tuning","improve","feedback","optimize","self","optimizer","SkillOpt","iteration",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":175,"publishedAt":48},"01M6CWPX0C8XBBD225VBJRJWSA","skill-constraints","Enforce browser automation safety constraints — tool usage order, anti-detection rules, screenshot discipline, and human-in-the-loop checks. Use when setting up or verifying browser\u002FMCP tool operations, NOT for every skill execution.","https:\u002F\u002Fgithub.com\u002Frexleimo\u002Faios\u002Fblob\u002Fmain\u002Fskill-sources\u002Fskill-constraints\u002FSKILL.md",[174],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[176,177,39,178,60,179,180,181,182,121,183,63,184,31,38,185,186,36,35,34],"constraints","skill constraints","browser automation","browser","screenshot","Safety","human-in-the-loop","tool","discipline","enforce","human",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":200,"publishedAt":48},"01M6CWPS77PTTK17X8PNJE9RVF","seo-geo-page-optimization","Use when improving a single page for SEO and AI answer-engine visibility (GEO), especially when you need faster first-screen conversion and clearer traffic funnels.","https:\u002F\u002Fgithub.com\u002Frexleimo\u002Faios\u002Fblob\u002Fmain\u002Fskill-sources\u002Fseo-geo-page-optimization\u002FSKILL.md",[193,196,197],{"categoryNo":194,"categoryName":195,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":198,"categoryName":199,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000035","市场营销",[159,201,202,203,204,205,60,58,206,207,208,61,56,63,106,38,209,36,35,34],"seo","page","seo geo","geo","seo geo page optimization","content","first","engine","conversion"]