Automate conversion of Figma designs into React/TypeScript components and supporting artifacts for a selected project scope. Uses a Figma MCP server (or connector) to fetch design context and a browser automation tool to verify produced components against a running dev server. Follows the conventions described in the…
Create or modify Node.js/TypeScript microservice endpoints following the conventions in the node-typescript-service and backend-policy rules — this is the guided end-to-end build workflow.
Analyze pull request changes for quality, security issues, test coverage, and adherence to repository policies (workspace-policy, frontend-policy, backend-policy, style-output rules).
Create or modify a React component with TypeScript, ensuring accessibility compliance and adherence to project conventions. This follows the same standards as the always-applied react-components rule, run as a guided end-to-end build.
Identify the project type within a target folder, determine which rules/commands apply, and verify that AI tool instruction files (GitHub Copilot, Claude Code, Cursor, OpenAI Codex CLI) are present and up to date.
Scaffold a new Cursor rule or command that follows this playbook's conventions — proper structure, and agent-oriented procedural instructions. Use when the user wants to add a new automated procedure, convert prose documentation into a rule/command, or validate an existing one. Not for human-facing README files…
Converts Figma nodes into production-ready React/TypeScript components using project-provided conventions and reusable component libraries. Apply when implementing or updating UI from a Figma design (Figma URL, fileKey/nodeId, or a design screenshot) in any project scope. Not for backend endpoints, database…
Workspace scope, project isolation, and AI tool instruction file conventions for this playbook.
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originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: