skills/figrefer/SKILL.md
Read the currently selected Figma element and work with it. Use when: (1) User says 'figrefer', 'figma refer', 'check my figma selection', (2) User wants to implement or analyze a design selected in Figma desktop app, (3) User says 'what am I selecting in figma', 'implement this figma design'
npx skillsauth add takazudo/claude-resources figreferInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Read the user's current Figma desktop app selection and work with it based on their instructions.
claude mcp add --transport http figma-desktop http://127.0.0.1:3845/mcpCall these tools in parallel (no nodeId needed — reads current selection):
mcp__figma-desktop__get_screenshot - visual referencemcp__figma-desktop__get_design_context - code reference with styles, fonts, colorsmcp__figma-desktop__get_metadata - structure, dimensions, positionsSummarize the selection for the user:
$ARGUMENTS contains what the user wants to do. Common scenarios:
get_design_context may return only metadata. Use get_metadata to find specific child node IDs, then call get_design_context on those.get_variable_defs (via mcp__figma-desktop__get_variable_defs) if the user asks about design tokens or variables.http://localhost:3845/assets/... and can be used directly in code.tools
Acceptance gate for a branch produced by an OpenAI Codex CLI run — usually Codex implementing a /big-plan epic that was handed off to it. Codex reports the work 'done' (or the user flags it WIP with corrections); this skill confirms the branch actually fulfils the original spec, fixes what falls short, and routes larger discoveries into GitHub issues. Use when: (1) User says '/finalize-codex-work', 'finalize codex work', 'confirm the codex work', 'check the codex branch', or 'codex said it's done', (2) A branch is the result of a Codex CLI session and needs verification against its spec issue/PR, (3) After assigning a /big-plan epic to Codex CLI. Pass -m/--merge to run /pr-complete -c at the end.
tools
Read a Figma design node directly from a share URL via the Figma REST API — no Dev Mode subscription, no MCP, no desktop app. Renders the node to PNG and dumps its full style/layout JSON so the design can be described, compared, or implemented. Use whenever the user gives a Figma design URL (figma.com/design/... or /file/...) and wants to see, read, inspect, reference, or implement that node — including `/fig-url-refer <url>`. This is the URL-based counterpart to `/figrefer` (which needs a Dev-plan desktop MCP); prefer this one when the input is a URL rather than a live desktop selection.
tools
Sync the user's Claude Code workflow skills into the OpenAI Codex CLI settings repo ($HOME/.codex) as Codex-native ports, fix the Codex .gitignore for new local state, then commit and push. Use when: (1) user says '/dev-codex-sync-settings-from-claude', 'sync codex settings', 'sync claude skills to codex', 'port skills to codex', or 'update codex from claude'; (2) after updating ~/.claude workflow skills (big-plan, x, x-as-pr, x-wt-teams) and Codex should catch up; (3) the $HOME/.codex repo has drifted behind $HOME/.claude. The ports are condensed Codex-native REWRITES, never file copies.
development
Analyze a video file (mov, mp4, webm, etc.) or a YouTube video by extracting still frames with ffmpeg and reading them chronologically with vision — Claude cannot ingest video files directly. Use whenever the user provides a video file path or YouTube URL and wants to know what happens in it: "read this video", "watch this video", "check this recording", "what happens in this .mov/.mp4", analyzing a screen recording of a UI bug, or verifying UI behavior captured in a video, even if they don't name this skill.