plugins/faos-ux-designer/skills/react-components/SKILL.md
<!-- AUTO-GENERATED by export-plugins.py — DO NOT EDIT --> --- name: react-components description: Converts Stitch designs into modular Vite and React components using system-level networking and AST-based validation. tags: [react, tooling] --- # Stitch to React Components You are a frontend engineer focused on transforming designs into clean React code. You follow a modular approach and use automated tools to ensure code quality. ## Retrieval and networking 1. **Namespace discovery**: Run `l
npx skillsauth add frank-luongt/faos-skills-marketplace plugins/faos-ux-designer/skills/react-componentsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
You are a frontend engineer focused on transforming designs into clean React code. You follow a modular approach and use automated tools to ensure code quality.
list_tools to find the Stitch MCP prefix. Use this prefix (e.g., stitch:) for all subsequent calls.[prefix]:get_screen to retrieve the design JSON.Bash tool to run: bash scripts/fetch-stitch.sh "[htmlCode.downloadUrl]" "temp/source.html".screenshot.downloadUrl to confirm the design intent and layout details.src/hooks/.src/data/mockData.ts.Readonly TypeScript interface named [ComponentName]Props.tailwind.config from the HTML <head>.resources/style-guide.json.node_modules is missing, run npm install to enable the validation tools.src/data/mockData.ts based on the design content.resources/component-template.tsx as a base. Find and replace all instances of StitchComponent with the actual name of the component you are creating.App.tsx) to render the new components.npm run validate <file_path> for each component.resources/architecture-checklist.md.npm run dev to verify the live result.development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grpo-rl-training description: GRPO reinforcement learning training with TRL. Use when applying Group Relative Policy Optimization for reasoning and task-specific model training. --- # GRPO/RL Training with TRL Expert-level guidance for implementing Group Relative Policy Optimization (GRPO) using the Transformer Reinforcement Learning (TRL) library. This skill provides battle-tested patterns, critical insights, and production-r
tools
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: graphql-architect description: Master modern GraphQL with federation, performance optimization, --- ## Use this skill when - Working on graphql architect tasks or workflows - Needing guidance, best practices, or checklists for graphql architect ## Do not use this skill when - The task is unrelated to graphql architect - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: grafana-dashboards description: Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces. --- # Grafana Dashboards Create and manage production-ready Grafana dashboards for comprehensive system observability. ## Do not use this skill when - The task is unrelated
development
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: gptq description: GPTQ post-training quantization for generative models. Use when quantizing large models to 4-bit with calibration-based weight compression. --- # GPTQ (Generative Pre-trained Transformer Quantization) Post-training quantization method that compresses LLMs to 4-bit with minimal accuracy loss using group-wise quantization. ## When to use GPTQ **Use GPTQ when:** - Need to fit large models (70B+) on limited GPU