[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6BXQD6DS6Q1AC7RESRAW548":3,"skill-same:01M6BXQD6DS6Q1AC7RESRAW548":74},{"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":18,"publishedAt":32,"linkOnly":33,"markdownContent":34,"markdownBody":35,"frontMatter":36,"refName":37,"commitSha":38,"skillDirectory":39,"forksCount":40,"repositoryHtmlUrl":41,"repositoryHomepageUrl":42,"ownerHtmlUrl":43,"ownerBlogUrl":12,"ownerDescription":44,"updatedAt":45,"install":46,"resources":59},"01M6BXQD6DS6Q1AC7RESRAW548","domain-modeling",null,"Clarify domain terminology and record agreed glossary entries or architectural decisions. Use when changing the domain model.","nodetool-ai\u002Fnodetool","nodetool-ai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F164873569?v=4","01M6BXPFDW36K9K1MR8ZH63HG2","nodetool.ai","01M6BXPFJ893XM219GQN60B0WK",635,"AGPL-3.0","https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fdomain-modeling\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31],"domain modeling","domain","modeling","model","glossary","clarify","decisions","use","terminology","record","domain model","entries","when","2026-11-10 10:12:30",false,"---\nname: domain-modeling\ndescription: \"Clarify domain terminology and record agreed glossary entries or architectural decisions. Use when changing the domain model.\"\n---\n\n# Domain Modeling\n\nActively build and sharpen the project's domain model as you design. This is the *active* discipline — challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. (Merely *reading* `CONTEXT.md` for vocabulary is not this skill — that's a one-line habit any skill can do. This skill is for when you're changing the model, not just consuming it.)\n\n## File structure\n\nMost repos have a single context:\n\n```\n\u002F\n├── CONTEXT.md\n├── docs\u002F\n│   └── adr\u002F\n│       ├── 0001-event-sourced-orders.md\n│       └── 0002-postgres-for-write-model.md\n└── src\u002F\n```\n\nIf a `CONTEXT-MAP.md` exists at the root, the repo has multiple contexts. The map points to where each one lives:\n\n```\n\u002F\n├── CONTEXT-MAP.md\n├── docs\u002F\n│   └── adr\u002F                          ← system-wide decisions\n├── src\u002F\n│   ├── ordering\u002F\n│   │   ├── CONTEXT.md\n│   │   └── docs\u002Fadr\u002F                 ← context-specific decisions\n│   └── billing\u002F\n│       ├── CONTEXT.md\n│       └── docs\u002Fadr\u002F\n```\n\nCreate files lazily — only when you have something to write. If no `CONTEXT.md` exists, create one when the first term is resolved. If no `docs\u002Fadr\u002F` exists, create it when the first ADR is needed.\n\n## During the session\n\n### Challenge against the glossary\n\nWhen the user uses a term that conflicts with the existing language in `CONTEXT.md`, call it out immediately. \"Your glossary defines 'cancellation' as X, but you seem to mean Y — which is it?\"\n\n### Sharpen fuzzy language\n\nWhen the user uses vague or overloaded terms, propose a precise canonical term. \"You're saying 'account' — do you mean the Customer or the User? Those are different things.\"\n\n### Discuss concrete scenarios\n\nWhen domain relationships are being discussed, stress-test them with specific scenarios. Invent scenarios that probe edge cases and force the user to be precise about the boundaries between concepts.\n\n### Cross-reference with code\n\nWhen the user states how something works, check whether the code agrees. If you find a contradiction, surface it: \"Your code cancels entire Orders, but you just said partial cancellation is possible — which is right?\"\n\n### Update CONTEXT.md inline\n\nWhen a term is resolved, update `CONTEXT.md` right there. Don't batch these up — capture them as they happen. Use the format in [CONTEXT-FORMAT.md](.\u002FCONTEXT-FORMAT.md).\n\n`CONTEXT.md` should be totally devoid of implementation details. Do not treat `CONTEXT.md` as a spec, a scratch pad, or a repository for implementation decisions. It is a glossary and nothing else.\n\n### Offer ADRs sparingly\n\nOnly offer to create an ADR when all three are true:\n\n1. **Hard to reverse** — the cost of changing your mind later is meaningful\n2. **Surprising without context** — a future reader will wonder \"why did they do it this way?\"\n3. **The result of a real trade-off** — there were genuine alternatives and you picked one for specific reasons\n\nIf any of the three is missing, skip the ADR. Use the format in [ADR-FORMAT.md](.\u002FADR-FORMAT.md).\n","# Domain Modeling\n\nActively build and sharpen the project's domain model as you design. This is the *active* discipline — challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. (Merely *reading* `CONTEXT.md` for vocabulary is not this skill — that's a one-line habit any skill can do. This skill is for when you're changing the model, not just consuming it.)\n\n## File structure\n\nMost repos have a single context:\n\n```\n\u002F\n├── CONTEXT.md\n├── docs\u002F\n│   └── adr\u002F\n│       ├── 0001-event-sourced-orders.md\n│       └── 0002-postgres-for-write-model.md\n└── src\u002F\n```\n\nIf a `CONTEXT-MAP.md` exists at the root, the repo has multiple contexts. The map points to where each one lives:\n\n```\n\u002F\n├── CONTEXT-MAP.md\n├── docs\u002F\n│   └── adr\u002F                          ← system-wide decisions\n├── src\u002F\n│   ├── ordering\u002F\n│   │   ├── CONTEXT.md\n│   │   └── docs\u002Fadr\u002F                 ← context-specific decisions\n│   └── billing\u002F\n│       ├── CONTEXT.md\n│       └── docs\u002Fadr\u002F\n```\n\nCreate files lazily — only when you have something to write. If no `CONTEXT.md` exists, create one when the first term is resolved. If no `docs\u002Fadr\u002F` exists, create it when the first ADR is needed.\n\n## During the session\n\n### Challenge against the glossary\n\nWhen the user uses a term that conflicts with the existing language in `CONTEXT.md`, call it out immediately. \"Your glossary defines 'cancellation' as X, but you seem to mean Y — which is it?\"\n\n### Sharpen fuzzy language\n\nWhen the user uses vague or overloaded terms, propose a precise canonical term. \"You're saying 'account' — do you mean the Customer or the User? Those are different things.\"\n\n### Discuss concrete scenarios\n\nWhen domain relationships are being discussed, stress-test them with specific scenarios. Invent scenarios that probe edge cases and force the user to be precise about the boundaries between concepts.\n\n### Cross-reference with code\n\nWhen the user states how something works, check whether the code agrees. If you find a contradiction, surface it: \"Your code cancels entire Orders, but you just said partial cancellation is possible — which is right?\"\n\n### Update CONTEXT.md inline\n\nWhen a term is resolved, update `CONTEXT.md` right there. Don't batch these up — capture them as they happen. Use the format in [CONTEXT-FORMAT.md](.\u002FCONTEXT-FORMAT.md).\n\n`CONTEXT.md` should be totally devoid of implementation details. Do not treat `CONTEXT.md` as a spec, a scratch pad, or a repository for implementation decisions. It is a glossary and nothing else.\n\n### Offer ADRs sparingly\n\nOnly offer to create an ADR when all three are true:\n\n1. **Hard to reverse** — the cost of changing your mind later is meaningful\n2. **Surprising without context** — a future reader will wonder \"why did they do it this way?\"\n3. **The result of a real trade-off** — there were genuine alternatives and you picked one for specific reasons\n\nIf any of the three is missing, skip the ADR. Use the format in [ADR-FORMAT.md](.\u002FADR-FORMAT.md).\n",{"name":5,"description":7},"main","c7226baa82daca42a19a5855c116544f97aa8bac",".agents\u002Fskills\u002Fdomain-modeling",91,"https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool","https:\u002F\u002Fnodetool.ai\u002F","https:\u002F\u002Fgithub.com\u002Fnodetool-ai","No-code AI development","2026-11-15 03:27:49",{"source":8,"skillName":5,"commands":47,"prompt":57,"zipAvailable":58},[48,51,54],{"tool":49,"command":50},"npx","npx skills add nodetool-ai\u002Fnodetool --skill domain-modeling",{"tool":52,"command":53},"bunx","bunx skills add nodetool-ai\u002Fnodetool --skill domain-modeling",{"tool":55,"command":56},"pnpm","pnpm dlx skills add nodetool-ai\u002Fnodetool --skill domain-modeling","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fdomain-modeling\u002FSKILL.md",true,[60,66,70],{"path":61,"resourceType":62,"resourceTypeDesc":63,"sizeBytes":64,"sourceHtmlUrl":65},"ADR-FORMAT.md","REFERENCE","参考文档",2766,"https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fdomain-modeling\u002FADR-FORMAT.md",{"path":67,"resourceType":62,"resourceTypeDesc":63,"sizeBytes":68,"sourceHtmlUrl":69},"CONTEXT-FORMAT.md",2299,"https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fdomain-modeling\u002FCONTEXT-FORMAT.md",{"path":71,"resourceType":62,"resourceTypeDesc":63,"sizeBytes":72,"sourceHtmlUrl":73},"references\u002Fdetails.md",5736,"https:\u002F\u002Fgithub.com\u002Fboisenoise\u002Fskills-collections\u002Fblob\u002Fmain\u002Fskills\u002Fantigravity-azure-networking\u002Freferences\u002Fdetails.md",[75,111,140,155,171,196],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":91,"publishedAt":32},"01M6BY4D93R0Q9400ZHJ04DXP1","nodetool","Use the NodeTool MCP server to build, validate, run, and debug visual AI workflows, and to work with assets, collections, and jobs. Use when the user mentions NodeTool or asks for a workflow graph, a node, or a media generation run on their NodeTool server.","https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool\u002Fblob\u002Fmain\u002Fplugins\u002Fchatgpt\u002Fnodetool\u002Fskills\u002Fnodetool\u002FSKILL.md",[81,86],{"categoryNo":82,"categoryName":83,"taxonomyType":84,"taxonomyTypeDesc":85},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",{"categoryNo":87,"categoryName":88,"taxonomyType":89,"taxonomyTypeDesc":90},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[77,92,93,94,95,96,97,98,99,100,101,102,103,104,26,105,106,107,108,109,110,31],"MCP","mcp server","workflow","workflows","validate","debug","run","graph","server","Media","assets","work","node","visual","generation","collections","media generation","with","for",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":120,"publishedAt":32},"01M6BY4AEB05ZPBRVD078ATR2H","wan-2-6-prompting","Prompt Alibaba's Wan 2.6 video — text-to-video with a global style line plus timing-bracketed shots, and image-to-video that describes only what changes over time. Covers the shot-mode switch per provider, the prompt budget, negative prompts, motion intensity wording, audio input and prompt expansion. Use whenever the model id names a Wan 2.6 video route (alibaba\u002Fwan-2.6\u002Ftext-to-video, alibaba\u002Fwan-2.6\u002Fimage-to-video, wan-video\u002Fwan-2.6-t2v, wan-video\u002Fwan-2.6-i2v, wan-video\u002Fwan2.6-i2v-flash) on generate_video, animate_image or a TextToVideo node. Not for Wan 2.5 or 2.7, or the Wan 2.6 image routes.","https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool\u002Fblob\u002Fmain\u002Fpackages\u002Fsystem-skills\u002Fwan-2-6-prompting\u002FSKILL.md",[117],{"categoryNo":118,"categoryName":119,"taxonomyType":84,"taxonomyTypeDesc":85},"01JBSEEDCAT000000000000016","图像与多媒体",[121,122,123,124,125,126,127,128,129,22,130,104,131,132,133,134,135,136,137,138,139],"wan 2 6 prompting","prompting","image","generate","Budget","Video","Audio","text","animate","flash","only","route","time","line","input","text-to-video","image-to-video","mode","expansion",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":148,"publishedAt":32},"01M6BY47T4748ZG5ZMTAR97ZWZ","video-workflow","Build a reusable NodeTool video workflow for batches or repeated inputs. For a single finished piece, use a storyboard skill.","https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool\u002Fblob\u002Fmain\u002Fpackages\u002Fsystem-skills\u002Fvideo-workflow\u002FSKILL.md",[146,147],{"categoryNo":118,"categoryName":119,"taxonomyType":84,"taxonomyTypeDesc":85},{"categoryNo":82,"categoryName":83,"taxonomyType":84,"taxonomyTypeDesc":85},[94,126,149,77,26,150,151,152,153,110,154],"video workflow","reusable","storyboard","build","batches","single",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":162,"publishedAt":32},"01M6BY4587N2SYN315SXGEMZC3","video-clone","Analyze a reference video and recreate its shot structure with a new product or cast in NodeTool.","https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool\u002Fblob\u002Fmain\u002Fpackages\u002Fsystem-skills\u002Fvideo-clone\u002FSKILL.md",[161],{"categoryNo":118,"categoryName":119,"taxonomyType":84,"taxonomyTypeDesc":85},[126,163,164,165,166,77,167,168,169,109,170],"video clone","clone","product","analyze","reference","cast","structure","new",{"skillNo":172,"name":173,"nameZh":6,"description":174,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":175,"categories":176,"keywords":178,"publishedAt":32},"01M6BY4257C2KQYYMD9EK6DK8E","video-audio-continuity","Keep sound continuous across a multi-scene piece cut from generated video — why one clip per scene hard-cuts the audio at every boundary, when to write all the scenes into a single generation instead, the sound-design vocabulary that survives a provider's copyright filter, and how to check the length, the aspect ratio and the mix of what came back. Use when a piece has more than one scene and the video model writes its own audio (Seedance 2, Veo 3, MiniMax H3, Kling 2.6 and later), or when a cut's sound drops out at the shot changes.","https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool\u002Fblob\u002Fmain\u002Fpackages\u002Fsystem-skills\u002Fvideo-audio-continuity\u002FSKILL.md",[177],{"categoryNo":118,"categoryName":119,"taxonomyType":84,"taxonomyTypeDesc":85},[126,127,179,180,181,182,183,184,22,185,186,187,188,189,190,191,192,193,194,195,31],"video audio continuity","continuity","design","boundary","how","why","write","generated","later","back","across","cut","how to","filter","mix","at","veo 3",{"skillNo":197,"name":198,"nameZh":6,"description":199,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":200,"categories":201,"keywords":203,"publishedAt":32},"01M6BY3ZANBSQMZRH4MG55R8Z7","veo-3-prompting","Prompt Google's Veo 3 video line — the five-element shot\u002Fsetting\u002Fsubject\u002Faction\u002Fdialogue structure, the cinematography vocabulary it reads directly, duration and aspect-ratio tradeoffs, the audio and auto-fix switches per provider, and the fixes for visual drift, temporal inconsistency and audio mismatch. Use whenever the model id contains veo3 or veo-3 (fal-ai\u002Fveo3.1 and its fast, lite, image-to-video, first-last-frame and reference-to-video routes, fal-ai\u002Fveo3\u002Fimage-to-video, google\u002Fveo3.1 on atlascloud, google\u002Fveo-3 and google\u002Fveo-3.1 on replicate, kie's veo-3-1, and Gemini's own veo-3.1-generate-preview) on generate_video, animate_image, generate_video_from_references or a TextToVideo node.","https:\u002F\u002Fgithub.com\u002Fnodetool-ai\u002Fnodetool\u002Fblob\u002Fmain\u002Fpackages\u002Fsystem-skills\u002Fveo-3-prompting\u002FSKILL.md",[202],{"categoryNo":118,"categoryName":119,"taxonomyType":84,"taxonomyTypeDesc":85},[204,205,122,195,123,206,207,124,208,209,126,127,129,22,210,211,212,213,214,215,216,169,217,218,219],"veo 3 prompting","veo","google","gemini","fast","first","fal","kie","replicate","fix","auto","references","drift","preview","element","auto-fix"]