[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M70KRYFNF75CF0FPFNM9ZVYT":3,"skill-same:01M70KRYFNF75CF0FPFNM9ZVYT":108},{"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":34,"publishedAt":55,"linkOnly":56,"markdownContent":57,"markdownBody":58,"frontMatter":59,"refName":60,"commitSha":61,"skillDirectory":62,"forksCount":63,"repositoryHtmlUrl":64,"repositoryHomepageUrl":65,"ownerHtmlUrl":66,"ownerBlogUrl":67,"ownerDescription":68,"updatedAt":69,"install":70,"resources":83},"01M70KRYFNF75CF0FPFNM9ZVYT","agent-builder",null,"Design and build AI agents for any domain. Use when users:\n(1) ask to \"create an agent\", \"build an assistant\", or \"design an AI system\"\n(2) want to understand agent architecture, agentic patterns, or autonomous AI\n(3) need help with capabilities, subagents, planning, or skill mechanisms\n(4) ask about Claude Code, Cursor, or similar agent internals\n(5) want to build agents for business, research, creative, or operational tasks\nKeywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration","shengdabai\u002FTony-Claude-Code-Skills","shengdabai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F116417419?v=4","01M70F6D2WY5PQV5A92BKYJQEW","Tony Sheng","01M70F6D3GAAAYZ5H4CC1G8VXM",3,"MIT","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fagent-builder\u002FSKILL.md",[18,23,26,29],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":30,"categoryName":31,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54],"agent builder","builder","domain","subagents","patterns","assistant","agent architecture","create","capabilities","ai agents","architecture","tasks","code","ask","agentic","workflow","when","orchestration","autonomous","design","2026-11-10 10:12:30",false,"---\nname: agent-builder\ndescription: |\n  Design and build AI agents for any domain. Use when users:\n  (1) ask to \"create an agent\", \"build an assistant\", or \"design an AI system\"\n  (2) want to understand agent architecture, agentic patterns, or autonomous AI\n  (3) need help with capabilities, subagents, planning, or skill mechanisms\n  (4) ask about Claude Code, Cursor, or similar agent internals\n  (5) want to build agents for business, research, creative, or operational tasks\n  Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration\n---\n\n# Agent Builder\n\nBuild AI agents for any domain - customer service, research, operations, creative work, or specialized business processes.\n\n## The Core Philosophy\n\n> **The model already knows how to be an agent. Your job is to get out of the way.**\n\nAn agent is not complex engineering. It's a simple loop that invites the model to act:\n\n```\nLOOP:\n  Model sees: context + available capabilities\n  Model decides: act or respond\n  If act: execute capability, add result, continue\n  If respond: return to user\n```\n\n**That's it.** The magic isn't in the code - it's in the model. Your code just provides the opportunity.\n\n## The Three Elements\n\n### 1. Capabilities (What can it DO?)\n\nAtomic actions the agent can perform: search, read, create, send, query, modify.\n\n**Design principle**: Start with 3-5 capabilities. Add more only when the agent consistently fails because a capability is missing.\n\n### 2. Knowledge (What does it KNOW?)\n\nDomain expertise injected on-demand: policies, workflows, best practices, schemas.\n\n**Design principle**: Make knowledge available, not mandatory. Load it when relevant, not upfront.\n\n### 3. Context (What has happened?)\n\nThe conversation history - the thread connecting actions into coherent behavior.\n\n**Design principle**: Context is precious. Isolate noisy subtasks. Truncate verbose outputs. Protect clarity.\n\n## Agent Design Thinking\n\nBefore building, understand:\n\n- **Purpose**: What should this agent accomplish?\n- **Domain**: What world does it operate in? (customer service, research, operations, creative...)\n- **Capabilities**: What 3-5 actions are essential?\n- **Knowledge**: What expertise does it need access to?\n- **Trust**: What decisions can you delegate to the model?\n\n**CRITICAL**: Trust the model. Don't over-engineer. Don't pre-specify workflows. Give it capabilities and let it reason.\n\n## Progressive Complexity\n\nStart simple. Add complexity only when real usage reveals the need:\n\n| Level | What to add | When to add it |\n|-------|-------------|----------------|\n| Basic | 3-5 capabilities | Always start here |\n| Planning | Progress tracking | Multi-step tasks lose coherence |\n| Subagents | Isolated child agents | Exploration pollutes context |\n| Skills | On-demand knowledge | Domain expertise needed |\n\n**Most agents never need to go beyond Level 2.**\n\n## Domain Examples\n\n**Business**: CRM queries, email, calendar, approvals\n**Research**: Database search, document analysis, citations\n**Operations**: Monitoring, tickets, notifications, escalation\n**Creative**: Asset generation, editing, collaboration, review\n\nThe pattern is universal. Only the capabilities change.\n\n## Key Principles\n\n1. **The model IS the agent** - Code just runs the loop\n2. **Capabilities enable** - What it CAN do\n3. **Knowledge informs** - What it KNOWS how to do\n4. **Constraints focus** - Limits create clarity\n5. **Trust liberates** - Let the model reason\n6. **Iteration reveals** - Start minimal, evolve from usage\n\n## Anti-Patterns\n\n| Pattern | Problem | Solution |\n|---------|---------|----------|\n| Over-engineering | Complexity before need | Start simple |\n| Too many capabilities | Model confusion | 3-5 to start |\n| Rigid workflows | Can't adapt | Let model decide |\n| Front-loaded knowledge | Context bloat | Load on-demand |\n| Micromanagement | Undercuts intelligence | Trust the model |\n\n## Resources\n\n**Philosophy & Theory**:\n- `references\u002Fagent-philosophy.md` - Deep dive into why agents work\n\n**Implementation**:\n- `references\u002Fminimal-agent.py` - Complete working agent (~80 lines)\n- `references\u002Ftool-templates.py` - Capability definitions\n- `references\u002Fsubagent-pattern.py` - Context isolation\n\n**Scaffolding**:\n- `scripts\u002Finit_agent.py` - Generate new agent projects\n\n## The Agent Mindset\n\n**From**: \"How do I make the system do X?\"\n**To**: \"How do I enable the model to do X?\"\n\n**From**: \"What's the workflow for this task?\"\n**To**: \"What capabilities would help accomplish this?\"\n\nThe best agent code is almost boring. Simple loops. Clear capabilities. Clean context. The magic isn't in the code.\n\n**Give the model capabilities and knowledge. Trust it to figure out the rest.**\n","# Agent Builder\n\nBuild AI agents for any domain - customer service, research, operations, creative work, or specialized business processes.\n\n## The Core Philosophy\n\n> **The model already knows how to be an agent. Your job is to get out of the way.**\n\nAn agent is not complex engineering. It's a simple loop that invites the model to act:\n\n```\nLOOP:\n  Model sees: context + available capabilities\n  Model decides: act or respond\n  If act: execute capability, add result, continue\n  If respond: return to user\n```\n\n**That's it.** The magic isn't in the code - it's in the model. Your code just provides the opportunity.\n\n## The Three Elements\n\n### 1. Capabilities (What can it DO?)\n\nAtomic actions the agent can perform: search, read, create, send, query, modify.\n\n**Design principle**: Start with 3-5 capabilities. Add more only when the agent consistently fails because a capability is missing.\n\n### 2. Knowledge (What does it KNOW?)\n\nDomain expertise injected on-demand: policies, workflows, best practices, schemas.\n\n**Design principle**: Make knowledge available, not mandatory. Load it when relevant, not upfront.\n\n### 3. Context (What has happened?)\n\nThe conversation history - the thread connecting actions into coherent behavior.\n\n**Design principle**: Context is precious. Isolate noisy subtasks. Truncate verbose outputs. Protect clarity.\n\n## Agent Design Thinking\n\nBefore building, understand:\n\n- **Purpose**: What should this agent accomplish?\n- **Domain**: What world does it operate in? (customer service, research, operations, creative...)\n- **Capabilities**: What 3-5 actions are essential?\n- **Knowledge**: What expertise does it need access to?\n- **Trust**: What decisions can you delegate to the model?\n\n**CRITICAL**: Trust the model. Don't over-engineer. Don't pre-specify workflows. Give it capabilities and let it reason.\n\n## Progressive Complexity\n\nStart simple. Add complexity only when real usage reveals the need:\n\n| Level | What to add | When to add it |\n|-------|-------------|----------------|\n| Basic | 3-5 capabilities | Always start here |\n| Planning | Progress tracking | Multi-step tasks lose coherence |\n| Subagents | Isolated child agents | Exploration pollutes context |\n| Skills | On-demand knowledge | Domain expertise needed |\n\n**Most agents never need to go beyond Level 2.**\n\n## Domain Examples\n\n**Business**: CRM queries, email, calendar, approvals\n**Research**: Database search, document analysis, citations\n**Operations**: Monitoring, tickets, notifications, escalation\n**Creative**: Asset generation, editing, collaboration, review\n\nThe pattern is universal. Only the capabilities change.\n\n## Key Principles\n\n1. **The model IS the agent** - Code just runs the loop\n2. **Capabilities enable** - What it CAN do\n3. **Knowledge informs** - What it KNOWS how to do\n4. **Constraints focus** - Limits create clarity\n5. **Trust liberates** - Let the model reason\n6. **Iteration reveals** - Start minimal, evolve from usage\n\n## Anti-Patterns\n\n| Pattern | Problem | Solution |\n|---------|---------|----------|\n| Over-engineering | Complexity before need | Start simple |\n| Too many capabilities | Model confusion | 3-5 to start |\n| Rigid workflows | Can't adapt | Let model decide |\n| Front-loaded knowledge | Context bloat | Load on-demand |\n| Micromanagement | Undercuts intelligence | Trust the model |\n\n## Resources\n\n**Philosophy & Theory**:\n- `references\u002Fagent-philosophy.md` - Deep dive into why agents work\n\n**Implementation**:\n- `references\u002Fminimal-agent.py` - Complete working agent (~80 lines)\n- `references\u002Ftool-templates.py` - Capability definitions\n- `references\u002Fsubagent-pattern.py` - Context isolation\n\n**Scaffolding**:\n- `scripts\u002Finit_agent.py` - Generate new agent projects\n\n## The Agent Mindset\n\n**From**: \"How do I make the system do X?\"\n**To**: \"How do I enable the model to do X?\"\n\n**From**: \"What's the workflow for this task?\"\n**To**: \"What capabilities would help accomplish this?\"\n\nThe best agent code is almost boring. Simple loops. Clear capabilities. Clean context. The magic isn't in the code.\n\n**Give the model capabilities and knowledge. Trust it to figure out the rest.**\n",{"name":5,"description":7},"main","7850740bd837adb32f0a109ab2af82482196c6f2","skills\u002Fagent-builder",1,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills","https:\u002F\u002Fzturnsgo.com","https:\u002F\u002Fgithub.com\u002Fshengdabai","https:\u002F\u002Fzturnsgo.com\u002F","AI × education creator — producer, not consumer. Taught 6,000+ learners; shipping learning tools & daily essays with Claude Code, practicing @xiaolai's way 🥋","2026-11-01 21:28:23",{"source":8,"skillName":5,"commands":71,"prompt":81,"zipAvailable":82},[72,75,78],{"tool":73,"command":74},"npx","npx skills add shengdabai\u002FTony-Claude-Code-Skills --skill agent-builder",{"tool":76,"command":77},"bunx","bunx skills add shengdabai\u002FTony-Claude-Code-Skills --skill agent-builder",{"tool":79,"command":80},"pnpm","pnpm dlx skills add shengdabai\u002FTony-Claude-Code-Skills --skill agent-builder","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fagent-builder\u002FSKILL.md",true,[84,90,96,100,104],{"path":85,"resourceType":86,"resourceTypeDesc":87,"sizeBytes":88,"sourceHtmlUrl":89},"references\u002Fagent-philosophy.md","REFERENCE","参考文档",8030,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fagent-builder\u002Freferences\u002Fagent-philosophy.md",{"path":91,"resourceType":92,"resourceTypeDesc":93,"sizeBytes":94,"sourceHtmlUrl":95},"references\u002Fminimal-agent.py","SCRIPT","脚本",4148,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fagent-builder\u002Freferences\u002Fminimal-agent.py",{"path":97,"resourceType":92,"resourceTypeDesc":93,"sizeBytes":98,"sourceHtmlUrl":99},"references\u002Fsubagent-pattern.py",7773,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fagent-builder\u002Freferences\u002Fsubagent-pattern.py",{"path":101,"resourceType":92,"resourceTypeDesc":93,"sizeBytes":102,"sourceHtmlUrl":103},"references\u002Ftool-templates.py",7881,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fagent-builder\u002Freferences\u002Ftool-templates.py",{"path":105,"resourceType":92,"resourceTypeDesc":93,"sizeBytes":106,"sourceHtmlUrl":107},"scripts\u002Finit_agent.py",9933,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fagent-builder\u002Fscripts\u002Finit_agent.py",[109,126,152,177,199,219],{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":118,"publishedAt":55},"01M70P17DAD4C1C47NPH6A96EM","xiaolai-methodology","以李笑来(Li Xiaolai)的思考方式、方法论与表达风格,为用户做全方位 1-on-1 教练指导,覆盖创业、赚钱、投资、学习、自学、读书写作、用 AI、以及人生心态与自我管理。当用户提到 \"李笑来\"、\"笑来\"、\"笑来老师\"、\"扮演李笑来\"、\"找笑来聊聊\"、\"笑来怎么看\"、\"xiaolai\"、\"把时间当作朋友\"、\"通往财富自由之路\"、\"定投改变命运\"、\"韭菜的自我修养\"、\"自学是门手艺\"、\"让时间陪你慢慢变富\"、\"七年就是一辈子\"、\"元认知\"、\"活在未来\"、\"复利\u002F长期主义\"、\"践行\"、\"痴迷改进\"、\"个人商业模式\u002F出售时间\"、\"睡后收入\"、\"定投\"、\"财富自由\"、\"操作系统升级\"、\"最少必要知识\"、\"北极星提示词\"、\"用 AI 该怎么学\u002F思考\" 等任一触发词,或当用户带着关于创业\u002F赚钱\u002F投资\u002F学习\u002F职业\u002F重大人生决策的困惑、希望被人用笑来式的「逻辑 + 大白话 + 类比 + 重新定义 + 践行导向」来点醒和指导时,自动进入李笑来教练模式。","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fxiaolai-methodology\u002FSKILL.md",[115],{"categoryNo":116,"categoryName":117,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",[119,120,121,122,123,124,125],"methodology","xiaolai","xiaolai methodology","朋友","投资","writing","收入",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":134,"publishedAt":55},"01M70P13NB9YP7ACJR1S861CDS","zread","Produce and consume a wiki-style knowledge base for a code repository via the `zread` CLI and its on-disk output under `.\u002F.zread\u002Fwiki\u002F`. Use this skill whenever the user wants to understand, onboard onto, explore, summarize, map, or get an overview of an unfamiliar codebase; asks for architecture docs, a project wiki, a repo walkthrough, module\u002Fpackage explanations, or \"what does this repo do\"; wants to generate, regenerate, resume, browse, or serve code documentation locally; or mentions zread \u002F zread.ai directly. Also use it proactively before diving into a large unknown repo — if `.\u002F.zread\u002Fwiki\u002Fcurrent` exists, read the generated pages instead of crawling source file-by-file; if it doesn't, consider offering to run `zread generate`. The trigger is the intent (understand a codebase through generated docs), not the literal word \"zread\".","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fzread\u002FSKILL.md",[132,133],{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":30,"categoryName":31,"taxonomyType":32,"taxonomyTypeDesc":33},[128,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,45,47,150,151],"knowledge","wiki","explore","walkthrough","project","get","knowledge base","run","generate","intent","cli","map","documentation","project wiki","disk","unknown","generated",{"skillNo":153,"name":154,"nameZh":6,"description":155,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":162,"publishedAt":55},"01M70P10S4SWMZQ8BJAFBFDRW3","youtube","Launch the YouTube Creator Agent to auto-generate videos.\nUse when: user types \u002Fyoutube, wants to create YouTube videos,\ngenerate video content, or upload to YouTube.\nKeywords: youtube, video, 视频, 创作视频, 发布视频","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube\u002FSKILL.md",[158,159],{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":160,"categoryName":161,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000036","内容创作者",[154,163,164,165,166,167,168,169,143,170,42,171,51,172,173,174,175,176],"user","content","视频","creator","generate video","videos","launch","video content","upload","use","auto","types","Video","创作",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":184,"publishedAt":55},"01M70P0YE95D8BACZCGV8BK90K","youtube-script-sync","Sync, update, or optimize Tony's GetNote knowledge base `Youtube视频逐字稿` by turning each parent recording or first-person idea note into an idempotent child note containing a directly recordable YouTube long-video or Shorts script. Use when the user says “更新\u002F同步\u002F优化 Youtube视频逐字稿知识库”, or says “更新\u002F同步\u002F优化该知识库” while this knowledge base is the active context.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube-script-sync\u002FSKILL.md",[183],{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},[185,186,154,187,188,175,189,190,191,192,193,194,195,196,141,197,51,172,135,198],"sync","script","youtube script sync","recording","shorts","first","base","person","update","active","child","optimize","idempotent","long",{"skillNo":200,"name":201,"nameZh":6,"description":202,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":203,"categories":204,"keywords":209,"publishedAt":55},"01M70P0WMV5XT0EEC0N445PW07","writing-skills","How to write SKILL.md files that trigger reliably and teach effectively. Use when creating, improving, or reviewing Claude Code skills.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-skills\u002FSKILL.md",[205,206,207,208],{"categoryNo":116,"categoryName":117,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":30,"categoryName":31,"taxonomyType":32,"taxonomyTypeDesc":33},{"categoryNo":160,"categoryName":161,"taxonomyType":32,"taxonomyTypeDesc":33},[210,124,211,212,213,214,47,51,172,215,216,217,218],"writing skills","how","teach","write skill","write","claude code skills","files","how to","trigger",{"skillNo":220,"name":221,"nameZh":6,"description":222,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":223,"categories":224,"keywords":227,"publishedAt":55},"01M70P0SJFR4YVJQBGMHKGSKXT","writing-rules","How to write .claude\u002Frules\u002F files that Claude actually follows. Use when creating, improving, or reviewing project rules.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-rules\u002FSKILL.md",[225,226],{"categoryNo":116,"categoryName":117,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":160,"categoryName":161,"taxonomyType":32,"taxonomyTypeDesc":33},[228,124,229,139,230,216,51,211,214,172,217],"Rules","writing rules","project rules"]