skills/figma-automation/SKILL.md
Automate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas.
npx skillsauth add aaaaqwq/agi-super-skills figma-automationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Automate Figma operations through Composio's Figma toolkit via Rube MCP.
RUBE_MANAGE_CONNECTIONS with toolkit figmaRUBE_SEARCH_TOOLS first to get current tool schemasGet Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
RUBE_SEARCH_TOOLS respondsRUBE_MANAGE_CONNECTIONS with toolkit figmaWhen to use: User wants to inspect Figma design files or extract component information
Tool sequence:
FIGMA_DISCOVER_FIGMA_RESOURCES - Extract IDs from Figma URLs [Prerequisite]FIGMA_GET_FILE_JSON - Get file data (simplified by default) [Required]FIGMA_GET_FILE_NODES - Get specific node data [Optional]FIGMA_GET_FILE_COMPONENTS - List published components [Optional]FIGMA_GET_FILE_COMPONENT_SETS - List component sets [Optional]Key parameters:
file_key: File key from URL (e.g., 'abc123XYZ' from figma.com/design/abc123XYZ/...)ids: Comma-separated node IDs (NOT an array)depth: Tree traversal depth (2 for pages and top-level children)simplify: True for AI-friendly format (70%+ size reduction)Pitfalls:
ids must be a comma-separated string, not an arraydata_preview instead of dataWhen to use: User wants to export design assets as images
Tool sequence:
FIGMA_GET_FILE_JSON - Find node IDs to export [Prerequisite]FIGMA_RENDER_IMAGES_OF_FILE_NODES - Render nodes as images [Required]FIGMA_DOWNLOAD_FIGMA_IMAGES - Download rendered images [Optional]FIGMA_GET_IMAGE_FILLS - Get image fill URLs [Optional]Key parameters:
file_key: File keyids: Comma-separated node IDs to renderformat: 'png', 'svg', 'jpg', or 'pdf'scale: Scale factor (0.01-4.0) for PNG/JPGimages: Array of {node_id, file_name, format} for downloadsPitfalls:
When to use: User wants to extract design tokens for development
Tool sequence:
FIGMA_EXTRACT_DESIGN_TOKENS - Extract colors, typography, spacing [Required]FIGMA_DESIGN_TOKENS_TO_TAILWIND - Convert to Tailwind config [Optional]Key parameters:
file_key: File keyinclude_local_styles: Include local styles (default true)include_variables: Include Figma variablestokens: Full tokens object from extraction (for Tailwind conversion)Pitfalls:
When to use: User wants to view or add comments, or inspect version history
Tool sequence:
FIGMA_GET_COMMENTS_IN_A_FILE - List all file comments [Optional]FIGMA_ADD_A_COMMENT_TO_A_FILE - Add a comment [Optional]FIGMA_GET_REACTIONS_FOR_A_COMMENT - Get comment reactions [Optional]FIGMA_GET_VERSIONS_OF_A_FILE - Get version history [Optional]Key parameters:
file_key: File keyas_md: Return comments in Markdown formatmessage: Comment textcomment_id: Comment ID for reactionsPitfalls:
When to use: User wants to list team projects or files
Tool sequence:
FIGMA_GET_PROJECTS_IN_A_TEAM - List team projects [Optional]FIGMA_GET_FILES_IN_A_PROJECT - List project files [Optional]FIGMA_GET_TEAM_STYLES - List team published styles [Optional]Key parameters:
team_id: Team ID from URL (figma.com/files/team/TEAM_ID/...)project_id: Project IDPitfalls:
Extract IDs from Figma URLs:
1. Call FIGMA_DISCOVER_FIGMA_RESOURCES with figma_url
2. Extract file_key, node_id, team_id from response
3. Convert dash-format node IDs (1-541) to colon format (1:541)
1. Call FIGMA_GET_FILE_JSON with depth=2 for overview
2. Identify target nodes from the response
3. Call again with specific ids and higher depth for details
File Type Support:
Node ID Formats:
node-id=1-5411:541| Task | Tool Slug | Key Params | |------|-----------|------------| | Parse URL | FIGMA_DISCOVER_FIGMA_RESOURCES | figma_url | | Get file JSON | FIGMA_GET_FILE_JSON | file_key, ids, depth | | Get nodes | FIGMA_GET_FILE_NODES | file_key, ids | | Render images | FIGMA_RENDER_IMAGES_OF_FILE_NODES | file_key, ids, format | | Download images | FIGMA_DOWNLOAD_FIGMA_IMAGES | file_key, images | | Get component | FIGMA_GET_COMPONENT | file_key, node_id | | File components | FIGMA_GET_FILE_COMPONENTS | file_key | | Component sets | FIGMA_GET_FILE_COMPONENT_SETS | file_key | | Design tokens | FIGMA_EXTRACT_DESIGN_TOKENS | file_key | | Tokens to Tailwind | FIGMA_DESIGN_TOKENS_TO_TAILWIND | tokens | | File comments | FIGMA_GET_COMMENTS_IN_A_FILE | file_key | | Add comment | FIGMA_ADD_A_COMMENT_TO_A_FILE | file_key, message | | File versions | FIGMA_GET_VERSIONS_OF_A_FILE | file_key | | Team projects | FIGMA_GET_PROJECTS_IN_A_TEAM | team_id | | Project files | FIGMA_GET_FILES_IN_A_PROJECT | project_id | | Team styles | FIGMA_GET_TEAM_STYLES | team_id | | File styles | FIGMA_GET_FILE_STYLES | file_key | | Image fills | FIGMA_GET_IMAGE_FILLS | file_key |
testing
AI驱动的智能浏览器自动化工具。使用LLM理解页面并自动执行任务,比传统Playwright更智能、更省token。适用于复杂交互、动态页面、需要智能决策的浏览器操作。Chrome浏览器优先。
tools
网页登录态管理。使用 fast-browser-use (fbu) 管理各平台登录状态,定期检查可用性,新平台授权时自动保存 profile。
development
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development
# A股基金监控 Skill A股基金净值监控,支持实时估值和盘后净值,自动判断交易日/节假日。 ## 用法 ### 快速监控(命令行) ```bash # 默认配置,输出到控制台 bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh # 推送到群(使用--push参数) bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh --push # 监控指定基金 bash ~/clawd/skills/a-fund-monitor/scripts/monitor.sh --codes "000979 002943" ``` ### Agent调用 ``` 执行A股基金监控任务。 1. 读取配置文件: ~/clawd/skills/a-fund-monitor/config.json 2. 获取实时净值数据 3. 非交易日自动切换为简短报告 配置文件格式: { "funds": [ {"code": "000979", "name": "景顺长城沪港深精选股票