[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JKCWABHHC3KXS9QZ2B45AT":3,"skill-same:01M6JKCWABHHC3KXS9QZ2B45AT":79},{"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":28,"publishedAt":49,"linkOnly":50,"markdownContent":51,"markdownBody":52,"frontMatter":53,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":60,"repositoryHtmlUrl":61,"repositoryHomepageUrl":62,"ownerHtmlUrl":63,"ownerBlogUrl":64,"ownerDescription":6,"updatedAt":65,"install":66,"resources":78},"01M6JKCWABHHC3KXS9QZ2B45AT","team-level",null,"Orchestrate level design team: level-designer + narrative-director + world-builder + art-director + systems-designer + qa-tester for complete area\u002Flevel creation.","LongLeo287\u002FOmniClaw","LongLeo287","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F141803367?v=4","01M6JK75C62VCNZKR5BRZ386YV","LongLeo","01M6JK75GQ78TSP1ZPXNKK3MCH",9,"MIT","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fbrain\u002Fknowledge\u002Frepositories\u002Fclaude_code_game_studios\u002F.claude\u002Fskills\u002Fteam_level\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"team level","team","Art","for","true","narrative","complete","creation","director","world","task","design","builder","edit","write","read","designer","Bash","orchestrate","qa","2026-11-10 10:12:30",false,"---\nname: team-level\ndescription: \"Orchestrate level design team: level-designer + narrative-director + world-builder + art-director + systems-designer + qa-tester for complete area\u002Flevel creation.\"\nargument-hint: \"[level name or area to design]\"\nuser-invocable: true\nallowed-tools: Read, Glob, Grep, Write, Edit, Bash, Task, AskUserQuestion, TodoWrite\n---\n\nWhen this skill is invoked:\n\n**Decision Points:** At each step transition, use `AskUserQuestion` to present\nthe user with the subagent's proposals as selectable options. Write the agent's\nfull analysis in conversation, then capture the decision with concise labels.\nThe user must approve before moving to the next step.\n\n1. **Read the argument** for the target level or area (e.g., `tutorial`,\n   `forest dungeon`, `hub town`, `final boss arena`).\n\n2. **Gather context**:\n   - Read the game concept at `design\u002Fgdd\u002Fgame-concept.md`\n   - Read game pillars at `design\u002Fgdd\u002Fgame-pillars.md`\n   - Read existing level docs in `design\u002Flevels\u002F`\n   - Read relevant narrative docs in `design\u002Fnarrative\u002F`\n   - Read world-building docs for the area's region\u002Ffaction\n\n## How to Delegate\n\nUse the Task tool to spawn each team member as a subagent:\n- `subagent_type: narrative-director` — Narrative purpose, characters, emotional arc\n- `subagent_type: world-builder` — Lore context, environmental storytelling, world rules\n- `subagent_type: level-designer` — Spatial layout, pacing, encounters, navigation\n- `subagent_type: systems-designer` — Enemy compositions, loot tables, difficulty balance\n- `subagent_type: art-director` — Visual theme, color palette, lighting, asset requirements\n- `subagent_type: qa-tester` — Test cases, boundary testing, playtest checklist\n\nAlways provide full context in each agent's prompt (game concept, pillars, existing level docs, narrative docs).\n\n3. **Orchestrate the level design team** in sequence:\n\n### Step 1: Narrative Context (narrative-director + world-builder)\nSpawn the `narrative-director` agent to:\n- Define the narrative purpose of this area (what story beats happen here?)\n- Identify key characters, dialogue triggers, and lore elements\n- Specify emotional arc (how should the player feel entering, during, leaving?)\n\nSpawn the `world-builder` agent to:\n- Provide lore context for the area (history, faction presence, ecology)\n- Define environmental storytelling opportunities\n- Specify any world rules that affect gameplay in this area\n\n### Step 2: Layout and Encounter Design (level-designer)\nSpawn the `level-designer` agent to:\n- Design the spatial layout (critical path, optional paths, secrets)\n- Define pacing curve (tension peaks, rest areas, exploration zones)\n- Place encounters with difficulty progression\n- Design environmental puzzles or navigation challenges\n- Define points of interest and landmarks for wayfinding\n- Specify entry\u002Fexit points and connections to adjacent areas\n\n### Step 3: Systems Integration (systems-designer)\nSpawn the `systems-designer` agent to:\n- Specify enemy compositions and encounter formulas\n- Define loot tables and reward placement\n- Balance difficulty relative to expected player level\u002Fgear\n- Design any area-specific mechanics or environmental hazards\n- Specify resource distribution (health pickups, save points, shops)\n\n### Step 4: Visual Direction (art-director)\nSpawn the `art-director` agent to:\n- Define the visual theme and color palette for the area\n- Specify lighting mood and time-of-day settings\n- List required art assets (environment props, unique assets)\n- Define visual landmarks and sight lines\n- Specify any special VFX needs (weather, particles, fog)\n\n### Step 5: QA Planning (qa-tester)\nSpawn the `qa-tester` agent to:\n- Write test cases for the critical path\n- Identify boundary and edge cases (sequence breaks, softlocks)\n- Create a playtest checklist for the area\n- Define acceptance criteria for level completion\n\n4. **Compile the level design document** combining all team outputs into the\n   level design template format.\n\n5. **Save to** `design\u002Flevels\u002F[level-name].md`.\n\n6. **Output a summary** with: area overview, encounter count, estimated asset\n   list, narrative beats, and any cross-team dependencies or open questions.\n","When this skill is invoked:\n\n**Decision Points:** At each step transition, use `AskUserQuestion` to present\nthe user with the subagent's proposals as selectable options. Write the agent's\nfull analysis in conversation, then capture the decision with concise labels.\nThe user must approve before moving to the next step.\n\n1. **Read the argument** for the target level or area (e.g., `tutorial`,\n   `forest dungeon`, `hub town`, `final boss arena`).\n\n2. **Gather context**:\n   - Read the game concept at `design\u002Fgdd\u002Fgame-concept.md`\n   - Read game pillars at `design\u002Fgdd\u002Fgame-pillars.md`\n   - Read existing level docs in `design\u002Flevels\u002F`\n   - Read relevant narrative docs in `design\u002Fnarrative\u002F`\n   - Read world-building docs for the area's region\u002Ffaction\n\n## How to Delegate\n\nUse the Task tool to spawn each team member as a subagent:\n- `subagent_type: narrative-director` — Narrative purpose, characters, emotional arc\n- `subagent_type: world-builder` — Lore context, environmental storytelling, world rules\n- `subagent_type: level-designer` — Spatial layout, pacing, encounters, navigation\n- `subagent_type: systems-designer` — Enemy compositions, loot tables, difficulty balance\n- `subagent_type: art-director` — Visual theme, color palette, lighting, asset requirements\n- `subagent_type: qa-tester` — Test cases, boundary testing, playtest checklist\n\nAlways provide full context in each agent's prompt (game concept, pillars, existing level docs, narrative docs).\n\n3. **Orchestrate the level design team** in sequence:\n\n### Step 1: Narrative Context (narrative-director + world-builder)\nSpawn the `narrative-director` agent to:\n- Define the narrative purpose of this area (what story beats happen here?)\n- Identify key characters, dialogue triggers, and lore elements\n- Specify emotional arc (how should the player feel entering, during, leaving?)\n\nSpawn the `world-builder` agent to:\n- Provide lore context for the area (history, faction presence, ecology)\n- Define environmental storytelling opportunities\n- Specify any world rules that affect gameplay in this area\n\n### Step 2: Layout and Encounter Design (level-designer)\nSpawn the `level-designer` agent to:\n- Design the spatial layout (critical path, optional paths, secrets)\n- Define pacing curve (tension peaks, rest areas, exploration zones)\n- Place encounters with difficulty progression\n- Design environmental puzzles or navigation challenges\n- Define points of interest and landmarks for wayfinding\n- Specify entry\u002Fexit points and connections to adjacent areas\n\n### Step 3: Systems Integration (systems-designer)\nSpawn the `systems-designer` agent to:\n- Specify enemy compositions and encounter formulas\n- Define loot tables and reward placement\n- Balance difficulty relative to expected player level\u002Fgear\n- Design any area-specific mechanics or environmental hazards\n- Specify resource distribution (health pickups, save points, shops)\n\n### Step 4: Visual Direction (art-director)\nSpawn the `art-director` agent to:\n- Define the visual theme and color palette for the area\n- Specify lighting mood and time-of-day settings\n- List required art assets (environment props, unique assets)\n- Define visual landmarks and sight lines\n- Specify any special VFX needs (weather, particles, fog)\n\n### Step 5: QA Planning (qa-tester)\nSpawn the `qa-tester` agent to:\n- Write test cases for the critical path\n- Identify boundary and edge cases (sequence breaks, softlocks)\n- Create a playtest checklist for the area\n- Define acceptance criteria for level completion\n\n4. **Compile the level design document** combining all team outputs into the\n   level design template format.\n\n5. **Save to** `design\u002Flevels\u002F[level-name].md`.\n\n6. **Output a summary** with: area overview, encounter count, estimated asset\n   list, narrative beats, and any cross-team dependencies or open questions.\n",{"name":5,"description":7,"allowed-tools":54,"argument-hint":55,"user-invocable":56},"Read, Glob, Grep, Write, Edit, Bash, Task, AskUserQuestion, TodoWrite","[level name 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Python scripts (core.py, search.py) for systematic UI pattern extraction, design system generation, and component search from curated data sources.","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fui_components\u002Fui_ux_pro_max\u002FSKILL.md",[86,87,90,91],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":88,"categoryName":89,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},{"categoryNo":92,"categoryName":93,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000033","数据分析师",[95,96,97,98,99,100,40,101,102,103,30,104,105,106,107,108,109,110,111,112],"ux","ui","ui ux pro max","max","pro","ui ux","component","search","analysis","rd","ui-ux","active","systematic","scripts","pattern extraction","sources","advanced","data-driven",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":120,"publishedAt":49},"01M6JR0EF5AEQHP2FSTB57H05P","shadcn-ui","Expert guidance for integrating and building applications with shadcn\u002Fui components, including component discovery, installation, customization, and best practices.","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fui_components\u002Fshadcn_ui\u002FSKILL.md",[119],{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},[121,96,122,123,101,124,125,126,127,30,128,129,130,106,131,132,133,32],"shadcn","shadcn ui","components","core","best practices","applications","discovery","customization","guidance","expert","installation","ui components","with",{"skillNo":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":138,"categories":139,"keywords":143,"publishedAt":49},"01M6JR08F51BEN17RHFYX65WVE","zustand_store_ts","Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state\u002Faction separation. Use when building React state management, creating global stores, or implementing reactive state patterns with Zustand.","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fzustand_store_ts\u002FSKILL.md",[140],{"categoryNo":141,"categoryName":142,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,133,160,161],"zustand store ts","zustand","store","typescript","microsoft","react","create","state management","state","react state management","management","global","use","patterns","separation","middleware","action","implementing",{"skillNo":163,"name":145,"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":167,"publishedAt":49},"01M6JR00TDMVAFFCZXZ04AN7Q7","Zustand state management guide. Use when working with store code (src\u002Fstore\u002F**), implementing actions, managing state, or creating slices. Triggers on Zustand store development, state management questions, or action implementation.","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fzustand\u002FSKILL.md",[],[145,168,151,169,152,170,171,154,172,156,173,174,175,146,133,176,177,160,161],"development","code","actions","src","guide","implementation","zustand state","triggers","questions","zustand state management",{"skillNo":179,"name":180,"nameZh":6,"description":181,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":182,"categories":183,"keywords":188,"publishedAt":49},"01M6JQZSWV4KWJP112G6XHEP44","youtube_summarizer","Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fyoutube_summarizer\u002FSKILL.md",[184,187],{"categoryNo":185,"categoryName":186,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":88,"categoryName":89,"taxonomyType":21,"taxonomyTypeDesc":22},[189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204],"youtube","youtube summarizer","summarizer","generate","metadata","messaging","Video","fetch","telegram","transcription","summarization","structured","full","insights","transcripts","summaries",{"skillNo":206,"name":207,"nameZh":6,"description":208,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":209,"categories":210,"keywords":211,"publishedAt":49},"01M6JQZN3QJB6B77JGKJD62DQT","youtube_clipper","YouTube 视频智能剪辑工具。下载视频和字幕，AI 分析生成精细章节（几分钟级别）， 用户选择片段后自动剪辑、翻译字幕为中英双语、烧录字幕到视频，并生成总结文案。 使用场景：当用户需要剪辑 YouTube 视频、生成短视频片段、制作双语字幕版本时。 关键词：视频剪辑、YouTube、字幕翻译、双语字幕、视频下载、clip video","https:\u002F\u002Fgithub.com\u002FLongLeo287\u002FOmniClaw\u002Fblob\u002Fmain\u002Fecosystem\u002Fskills\u002Fyoutube_clipper\u002FSKILL.md",[],[189,212,213,195,46,214,215,216,217,218,44,43,219,220,221,222,223],"clipper","youtube clipper","下载","视频","生成","关键词","翻译","clip","总结","工具","文案","sonnet"]