figma-prod-checklist
Production readiness checklist for Figma REST API integrations. Use when deploying Figma integrations to production, preparing for launch, or auditing an existing integration for production fitness. Trigger with phrases like "figma production", "deploy figma", "figma go-live", "figma launch checklist". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill figma-prod-checklist --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Figma Production Checklist ## Overview Complete checklist for deploying Figma API integrations to production, covering authentication, error handling, rate limits, monitoring, and rollback. ## Prerequisites - Staging environment tested and verified - Production PAT or OAuth credentials ready - Monitoring infrastructure available ## Instructions ### Step 1: Authentication & Secrets - [ ] Producti
What does the figma-prod-checklist skill do?
Production readiness checklist for Figma REST API integrations. Use when deploying Figma integrations to production, preparing for launch, or auditing an existing integration for production fitness. Trigger with phrases like "figma production", "deploy figma", "figma go-live", "figma launch checklist". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill figma-prod-checklist --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
