react-native
React Native best practices for Expo and bare workflow. Supports project structure, navigation, NativeWind styling, platform-specific code, and TypeScript integration.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
599 skills found
React Native best practices for Expo and bare workflow. Supports project structure, navigation, NativeWind styling, platform-specific code, and TypeScript integration.
Automate high-quality screenshot generation for MicroSim visualizations using Chrome headless mode. Ideal for documentation, social media previews, and quality assessment.
Collaborative PR review using a swarm of three specialized AI agents (Correctness, Health, UX) that discuss findings and reach consensus before posting a structured summary with inline comments.
Expert assistant for writing high-quality, modern, and memory-safe C++ code for V8 FFI wrappers and native integrations.
Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.
Fetches Confluence PRDs and transforms them into structured local Markdown for the spec-kit specify workflow, bridging PO handoffs into technical SDD implementation.
Create professional technical diagrams and flowcharts using LaTeX TikZ with standardized Google Material and Anthropic-inspired design themes.
Parallel task orchestration CLI for AI workers using isolated git workspaces.
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, or performing systematic code audits.
Full-stack SDLC agent workflow managing the entire production lifecycle from intake and planning to automated testing, CI/CD, and infrastructure deployment using MCP tools.
A professional workflow and component library for industrial-grade UI design using Pencil MCP, featuring standardized tokens for color, typography, spacing, and shadows.
Autonomous QA cycling workflow that runs test-verify-fix loops until your quality goals are met.