[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7BR9FCR1Z1PPC2W65BFDEX4":3,"skill-same:01M7BR9FCR1Z1PPC2W65BFDEX4":56},{"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":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":27,"commitSha":28,"skillDirectory":29,"forksCount":30,"repositoryHtmlUrl":31,"repositoryHomepageUrl":32,"ownerHtmlUrl":33,"ownerBlogUrl":6,"ownerDescription":34,"updatedAt":35,"install":36,"resources":49},"01M7BR9FCR1Z1PPC2W65BFDEX4","figma-extract",null,"Pull a Figma file's node tree, design tokens, and embedded assets into the project cwd as a structured snapshot.","YYC-Cube\u002FYYC3-Knowledge-Base","YYC-Cube","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F235006543?v=4","01M79J2PH4SWD2X0825X6PN748","yyc3","01M79J2PHVK3F6ZBYT8K2SCZCW",1,"MIT","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-Design-设计资源\u002FYYC3-Design-设计资源-open-design\u002Fplugins\u002F_official\u002Fatoms\u002Ffigma-extract\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: figma-extract\ndescription: Pull a Figma file's node tree, design tokens, and embedded assets into the project cwd as a structured snapshot.\nod:\n  scenario: figma-migration\n  mode: extract\n---\n\n# Figma extract\n\nSpec §10 \u002F §21.3.1: the figma-migration scenario starts with a Figma\nfile URL + an OAuth token. This atom turns that pair into the\nauthoritative on-disk record subsequent stages (`token-map`,\n`generate`, `critique`) operate on.\n\n## Inputs\n\n| Source | Required | Notes |\n| --- | --- | --- |\n| Figma file URL or `node-id` | yes | Provide via the `figma-oauth` GenUI surface or `od plugin apply --input fileUrl=…` |\n| Figma OAuth token | yes | Routed through `oauth-prompt` with `oauth.route='connector'` and `connectorId='figma'`; the daemon never stores the token in SQLite |\n\n## Output\n\nThe atom writes a deterministic, JSON-shaped extract under the\nproject cwd:\n\n```text\nproject-cwd\u002F\n├── figma\u002F\n│   ├── tree.json        # canonical node tree (id \u002F type \u002F parent \u002F children \u002F box \u002F fills \u002F text)\n│   ├── tokens.json      # color + typography + spacing tokens lifted off the file\n│   ├── assets\u002F          # rasterised exports of every leaf node that the file marks for export\n│   │   └── \u003Cnode-id>.\u003Cpng|svg|webp>\n│   └── meta.json        # { fileUrl, version, lastModified, exportedAt, atomDigest }\n```\n\n`figma\u002Ftree.json` is the canonical pivot for every downstream atom.\n`figma\u002Ftokens.json` is the input to `token-map`. `assets\u002F` is the\ninput to `generate`'s media stage.\n\n## Convergence\n\nThe atom completes when `figma\u002Ftree.json` exists and is non-empty.\nThe `until` evaluator reads `figma.tree.nodes >= 1`; if the figma\nfile is empty or the OAuth token expired, the atom emits a clear\nerror event and the run aborts (the user fixes auth or picks a\ndifferent file).\n\n## Anti-patterns the prompt fragment forbids\n\n- Synthesising a tree from screenshots when the OAuth path failed —\n  always re-prompt the user; never make up node ids.\n- Dropping unsupported node types silently; record them in\n  `meta.json.unsupportedNodes[]` so the human can audit gaps.\n- Treating component instances as duplicates; record `componentRef`\n  links so `token-map` can de-duplicate at the right boundary.\n\n## Status\n\nImplemented by the daemon runner in\n`apps\u002Fdaemon\u002Fsrc\u002Fplugins\u002Fatoms\u002Ffigma-extract.ts`. It fetches and walks the\nFigma REST tree, records unsupported nodes, lifts tokens, and rasterizes\nsupported assets.\n","# Figma extract\n\nSpec §10 \u002F §21.3.1: the figma-migration scenario starts with a Figma\nfile URL + an OAuth token. This atom turns that pair into the\nauthoritative on-disk record subsequent stages (`token-map`,\n`generate`, `critique`) operate on.\n\n## Inputs\n\n| Source | Required | Notes |\n| --- | --- | --- |\n| Figma file URL or `node-id` | yes | Provide via the `figma-oauth` GenUI surface or `od plugin apply --input fileUrl=…` |\n| Figma OAuth token | yes | Routed through `oauth-prompt` with `oauth.route='connector'` and `connectorId='figma'`; the daemon never stores the token in SQLite |\n\n## Output\n\nThe atom writes a deterministic, JSON-shaped extract under the\nproject cwd:\n\n```text\nproject-cwd\u002F\n├── figma\u002F\n│   ├── tree.json        # canonical node tree (id \u002F type \u002F parent \u002F children \u002F box \u002F fills \u002F text)\n│   ├── tokens.json      # color + typography + spacing tokens lifted off the file\n│   ├── assets\u002F          # rasterised exports of every leaf node that the file marks for export\n│   │   └── \u003Cnode-id>.\u003Cpng|svg|webp>\n│   └── meta.json        # { fileUrl, version, lastModified, exportedAt, atomDigest }\n```\n\n`figma\u002Ftree.json` is the canonical pivot for every downstream atom.\n`figma\u002Ftokens.json` is the input to `token-map`. `assets\u002F` is the\ninput to `generate`'s media stage.\n\n## Convergence\n\nThe atom completes when `figma\u002Ftree.json` exists and is non-empty.\nThe `until` evaluator reads `figma.tree.nodes >= 1`; if the figma\nfile is empty or the OAuth token expired, the atom emits a clear\nerror event and the run aborts (the user fixes auth or picks a\ndifferent file).\n\n## Anti-patterns the prompt fragment forbids\n\n- Synthesising a tree from screenshots when the OAuth path failed —\n  always re-prompt the user; never make up node ids.\n- Dropping unsupported node types silently; record them in\n  `meta.json.unsupportedNodes[]` so the human can audit gaps.\n- Treating component instances as duplicates; record `componentRef`\n  links so `token-map` can de-duplicate at the right boundary.\n\n## Status\n\nImplemented by the daemon runner in\n`apps\u002Fdaemon\u002Fsrc\u002Fplugins\u002Fatoms\u002Ffigma-extract.ts`. It fetches and walks the\nFigma REST tree, records unsupported nodes, lifts tokens, and rasterizes\nsupported assets.\n",{"od":24,"name":5,"description":7},{"mode":25,"scenario":26},"extract","figma-migration","main","87afe6ce96220accf50a345dea46784c8c9f210e","YYC3-Design-设计资源\u002FYYC3-Design-设计资源-open-design\u002Fplugins\u002F_official\u002Fatoms\u002Ffigma-extract",0,"https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base","https:\u002F\u002Fkb.yyc3.top\u002F","https:\u002F\u002Fgithub.com\u002FYYC-Cube","万象归元于云枢 | 深栈智启新纪元","2026-11-10 10:37:32",{"source":8,"skillName":5,"commands":37,"prompt":47,"zipAvailable":48},[38,41,44],{"tool":39,"command":40},"npx","npx skills add YYC-Cube\u002FYYC3-Knowledge-Base --skill figma-extract",{"tool":42,"command":43},"bunx","bunx skills add YYC-Cube\u002FYYC3-Knowledge-Base --skill figma-extract",{"tool":45,"command":46},"pnpm","pnpm dlx skills add YYC-Cube\u002FYYC3-Knowledge-Base --skill figma-extract","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-Design-设计资源\u002FYYC3-Design-设计资源-open-design\u002Fplugins\u002F_official\u002Fatoms\u002Ffigma-extract\u002FSKILL.md",true,[50],{"path":51,"resourceType":52,"resourceTypeDesc":53,"sizeBytes":54,"sourceHtmlUrl":55},"open-design.json","REFERENCE","参考文档",906,"https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-Design-设计资源\u002FYYC3-Design-设计资源-open-design\u002Fplugins\u002F_official\u002Fatoms\u002Ffigma-extract\u002Fopen-design.json",[57,64,71,78,85,92],{"skillNo":58,"name":59,"nameZh":6,"description":60,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":61,"categories":62,"keywords":63,"publishedAt":19},"01M7CTDWHERCXPQCP0K03A86AS","vercel-sandbox","Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app. Use when the user needs browser automation in a Vercel app (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.), wants to run headless Chrome without binary size limits, needs persistent browser sessions across commands, or wants ephemeral isolated browser environments. Triggers include \"Vercel Sandbox browser\", \"microVM Chrome\", \"agent-browser in sandbox\", \"browser automation on Vercel\", or any task requiring Chrome in a Vercel Sandbox.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fvercel-sandbox\u002FSKILL.md",[],[],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":70,"publishedAt":19},"01M7CTD8D2BNJY54S65M47HEJA","slack","Interact with Slack workspaces using browser automation. Use when the user needs to check unread channels, navigate Slack, send messages, extract data, find information, search conversations, or automate any Slack task. Triggers include \"check my Slack\", \"what channels have unreads\", \"send a message to\", \"search Slack for\", \"extract from Slack\", \"find who said\", or any task requiring programmatic Slack interaction.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fslack\u002FSKILL.md",[],[],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":77,"publishedAt":19},"01M7CTCSSB8ZP3Q58C3YZDZK1W","electron","Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include \"automate Slack app\", \"control VS Code\", \"interact with Discord app\", \"test this Electron app\", \"connect to desktop app\", or any task requiring automation of a native Electron application.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Felectron\u002FSKILL.md",[],[],{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":84,"publishedAt":19},"01M7CTCBJY76688V4DCZGWFHGQ","dogfood","Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to \"dogfood\", \"QA\", \"exploratory test\", \"find issues\", \"bug hunt\", \"test this app\u002Fsite\u002Fplatform\", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fdogfood\u002FSKILL.md",[],[],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":91,"publishedAt":19},"01M7CTC4H0FFGVEAQR9PA4GA1A","agent-browser","Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to \"open a website\", \"fill out a form\", \"click a button\", \"take a screenshot\", \"scrape data from a page\", \"test this web app\", \"login to a site\", \"automate browser actions\", or any task requiring programmatic web interaction.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fagent-browser\u002FSKILL.md",[],[],{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":98,"publishedAt":19},"01M7CTBKVFYBG78FDSABSDJTTQ","shadcn","Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn\u002Fui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for \"shadcn init\", \"create an app with --preset\", \"switch to --preset\", and for building a design system or applying a DESIGN.md or brand spec to shadcn\u002Fui.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-UI-界面组件\u002FYYC3-UI-界面组件-ui\u002Fskills\u002Fshadcn\u002FSKILL.md",[],[]]