Discover Research skills, compare source repositories and read the instructions for each workflow.
Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.
21 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and simulator lifecycle management. Optimized for AI agents w...
WooCommerce REST API - products, orders, customers, webhooks
AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling
Multi-person projects - shared state, todo claiming, handoffs
Web UI - glassmorphism, Tailwind, dark mode, accessibility
User experience flows - journey mapping, UX validation, error recovery
Firebase Firestore, Auth, Storage, real-time listeners, security rules
Shopify app development - Remix, Admin API, checkout extensions
Google Gemini CLI code review with Gemini 2.5 Pro, 1M token context, CI/CD integration
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
Mandatory code reviews via /code-review before commits and deploys
Express/Hono with Supabase and Drizzle ORM
SEO and AI discovery (GEO) - schema, ChatGPT/Perplexity optimization
AI-first application patterns, LLM testing, prompt management
Atomic commits, PR size limits, commit thresholds, stacked PRs
Centralized API key management from Access.txt
Python development with ruff, mypy, pytest - TDD and type safety
Reddit API with PRAW (Python) and Snoowrap (Node.js)
Medusa headless commerce - modules, workflows, API routes, admin UI
Schema awareness - read before coding, type generation, prevent column errors
Technical SEO - robots.txt, sitemap, meta tags, Core Web Vitals
Next.js with Supabase and Drizzle ORM
Analyze existing repositories, maintain structure, setup guardrails and best practices
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.