[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CWMKGJSA7ZDRF9V3QZ50DS":3,"skill-same:01M6CWMKGJSA7ZDRF9V3QZ50DS":76},{"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":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":57,"repositoryHtmlUrl":58,"repositoryHomepageUrl":59,"ownerHtmlUrl":60,"ownerBlogUrl":6,"ownerDescription":61,"updatedAt":62,"install":63,"resources":75},"01M6CWMKGJSA7ZDRF9V3QZ50DS","aios-offload-recall",null,"Use when recalling prior AIOS tool\u002Fbrowser outputs from offloaded refs; inspect Mermaid canvas first, then read only matching node-level evidence.","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-offload-recall\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"aios offload recall","recall","aios","only","offload","token","zcode","qoder","project","opencode","evidence","canvas","use","pi","read","node","tool","browser","mermaid","gemini","2026-11-10 10:12:30",false,"---\nname: aios-offload-recall\ndescription: Use when recalling prior AIOS tool\u002Fbrowser outputs from offloaded refs; inspect Mermaid canvas first, then read only matching node-level evidence.\n\ninstallCatalogName: aios-offload-recall\nclients: [codex, claude, hermes, workbuddy, pi, zcode, qoder]\nscopes: [global, project]\ndefaultInstall:\n  global: true\n  project: false\ntags: [aios, token, offload, recall]\nrepoTargets: [codex, claude, gemini, opencode, hermes, workbuddy, pi, zcode, qoder]\n---\n\n# AIOS Offload Recall\n\nUse this when prior tool output is likely stored under `.aios\u002Foffload\u002F` and token use matters.\n\n## Recall Order\n\n1. Identify the session id from ContextDB, harness status, or the user's handoff.\n2. Run `aios canvas show --session \u003Cid>` to inspect the compact task graph.\n3. Search narrowly with `aios refs grep \"\u003Cpattern>\" --session \u003Cid>`.\n4. Read only the needed node with `aios refs read \u003Cnode_id>`.\n5. Summarize the recalled evidence and keep the `node_id` in your notes.\n\n## Backfill Existing Logs\n\nIf a previous run produced JSONL tool-event logs but no canvas yet, create the index first:\n\n```bash\naios canvas backfill --input \u003Cevents.jsonl> --client \u003Cclient> --session \u003Cid>\n```\n\nThen resume the recall order above. Backfill accepts generic records with fields like `tool`, `input`, `output`,\nor Claude-style `tool_name`, `tool_input`, `tool_response`.\n\n## Rules\n\n- Do not load every ref file unless the user explicitly asks for a full audit.\n- Do not treat the canvas as complete evidence; it is an index over raw refs.\n- If a node may contain secrets, use `aios privacy read --file \u003Cpath>` before sharing content.\n- Savings are future-context savings: canvas\u002Fnode_id replaces raw log replay during resume or recall.\n","# AIOS Offload Recall\n\nUse this when prior tool output is likely stored under `.aios\u002Foffload\u002F` and token use matters.\n\n## Recall Order\n\n1. Identify the session id from ContextDB, harness status, or the user's handoff.\n2. Run `aios canvas show --session \u003Cid>` to inspect the compact task graph.\n3. Search narrowly with `aios refs grep \"\u003Cpattern>\" --session \u003Cid>`.\n4. Read only the needed node with `aios refs read \u003Cnode_id>`.\n5. Summarize the recalled evidence and keep the `node_id` in your notes.\n\n## Backfill Existing Logs\n\nIf a previous run produced JSONL tool-event logs but no canvas yet, create the index first:\n\n```bash\naios canvas backfill --input \u003Cevents.jsonl> --client \u003Cclient> --session \u003Cid>\n```\n\nThen resume the recall order above. Backfill accepts generic records with fields like `tool`, `input`, `output`,\nor Claude-style `tool_name`, `tool_input`, `tool_response`.\n\n## Rules\n\n- Do not load every ref file unless the user explicitly asks for a full audit.\n- Do not treat the canvas as complete evidence; it is an index over raw refs.\n- If a node may contain secrets, use `aios privacy read --file \u003Cpath>` before sharing content.\n- Savings are future-context savings: canvas\u002Fnode_id replaces raw log replay during resume or recall.\n",{"name":5,"tags":43,"scopes":44,"clients":46,"description":7,"repoTargets":51,"defaultInstall":52,"installCatalogName":5},[20,23,22,19],[45,26],"global",[47,48,49,50,31,24,25],"codex","claude","hermes","workbuddy",[47,48,37,27,49,50,31,24,25],{"global":53,"project":39},true,"main","125f0c919bcb02c316fd4dcbf10e555fad7ac852","skill-sources\u002Faios-offload-recall",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":64,"prompt":74,"zipAvailable":53},[65,68,71],{"tool":66,"command":67},"npx","npx skills add rexleimo\u002Faios --skill aios-offload-recall",{"tool":69,"command":70},"bunx","bunx skills add rexleimo\u002Faios --skill aios-offload-recall",{"tool":72,"command":73},"pnpm","pnpm dlx skills add rexleimo\u002Faios --skill aios-offload-recall","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Frexleimo\u002Faios\u002Fblob\u002Fmain\u002Fskill-sources\u002Faios-offload-recall\u002FSKILL.md",[],[77,97,118,141,163,181],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":38},"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",[],[84,85,37,86,87,88,89,90,91,31,30,92,27,93,94,95,96,26,25,24],"versioning","versioning by impact","commit","release","changelog","push","repository","changelog entry","version","bump","general","version bump","task",{"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":14,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":108,"publishedAt":38},"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",[103],{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[109,110,111,112,37,47,113,114,87,115,116,31,30,28,27,94,117,26,25,24],"verification","loop","verification loop","MCP","workflow","change","work","behavior","done",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":130,"publishedAt":38},"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",[124,125],{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},{"categoryNo":126,"categoryName":127,"taxonomyType":128,"taxonomyTypeDesc":129},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[131,37,132,109,133,134,135,32,31,136,27,137,138,139,26,140,25,24,20,120],"typesafe ai","code","system","decision","common","primitives","patterns","natural language","intelligence","discover",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":148,"publishedAt":38},"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",[147],{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},[149,37,150,151,152,153,154,155,156,110,157,27,158,159,160,26,25,24,161,162],"skill opt lite","documents","training","tasks","improve skill","Optimization","tuning","improve","feedback","optimize","self","optimizer","SkillOpt","iteration",{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":170,"publishedAt":38},"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",[169],{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},[171,172,112,173,37,35,174,175,176,110,34,31,177,178,27,179,180,26,25,24],"constraints","skill constraints","browser automation","screenshot","Safety","human-in-the-loop","discipline","up","enforce","human",{"skillNo":182,"name":183,"nameZh":6,"description":184,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":9,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":185,"categories":186,"keywords":194,"publishedAt":38},"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",[187,190,191],{"categoryNo":188,"categoryName":189,"taxonomyType":106,"taxonomyTypeDesc":107},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":104,"categoryName":105,"taxonomyType":106,"taxonomyTypeDesc":107},{"categoryNo":192,"categoryName":193,"taxonomyType":128,"taxonomyTypeDesc":129},"01JBSEEDCAT000000000000035","市场营销",[154,195,196,197,198,199,37,47,200,201,202,49,45,31,30,27,203,26,25,24],"seo","page","seo geo","geo","seo geo page optimization","content","first","engine","conversion"]