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Found 3,229 Skills
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Express.js framework patterns including routing, middleware, request/response handling, and Express-specific APIs. Use when working with Express routes, middleware, or Express applications.
TanStack Query v5 data fetching patterns including useSuspenseQuery, useQuery, mutations, cache management, and API service integration. Use when fetching data, managing server state, or working with TanStack Query hooks.
Pixel-perfect Figma to React conversion using coderio. Generates production-ready code (TypeScript, Vite, TailwindCSS V4) with high visual fidelity. Features robust error handling, checkpoint recovery, and streamlined execution via helper script.
Error handling best practices across languages — error types, recovery strategies, user-facing messages, and logging. Reference when implementing error handling or designing error flows.
Database migration best practices — schema changes, zero-downtime migrations, rollback strategies, and data migration patterns. Reference when modifying database schemas.
Use when conducting authorized penetration tests, performing security assessments, running red team exercises, testing security controls, identifying attack paths, or validating hardening measures
ChatGPT-style deep research strategy with problem decomposition, multi-query generation (3-5 variations per sub-question), evidence synthesis with source ranking, numbered citations, and iterative refinement. Use for complex architecture decisions, multi-domain synthesis, strategic comparisons, technology selection. Keywords: architecture, integration, best practices, strategy, recommendations, comparison.
Explore-first wave pipeline. Decomposes requirement into exploration angles, runs wave exploration via spawn_agents_on_csv, synthesizes findings into execution tasks with cross-phase context linking (E*→T*), then wave-executes via spawn_agents_on_csv.
Enforces safe deployment practices. Use before any production deploy to prevent overwriting newer code. Activated when deploying, pushing to production, or running deploy commands.
Iteratively auto-optimize a prompt until no issues remain. Uses prompt-reviewer in a loop, asks user for ambiguities, applies fixes via prompt-engineering skill. Runs until converged.
Create, parse, and control Excel files on macOS. Professional formatting with openpyxl, complex xlsm parsing with stdlib zipfile+xml for investment bank financial models, and Excel window control via AppleScript. Use when creating formatted Excel reports, parsing financial models that openpyxl cannot handle, or automating Excel on macOS.