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Found 6,451 Skills
Build Retrieval-Augmented Generation (RAG) Q&A systems with Claude or OpenAI. Use for creating AI assistants that answer questions from document collections, technical libraries, or knowledge bases.
Guides React/Next.js/TypeScript project organization using feature-based architecture. Use when structuring new projects, reorganizing codebases, or deciding where to place new code.
Review Prisma code for common violations, security issues, and performance anti-patterns found in AI coding agent stress testing. Use when reviewing Prisma Client usage, database operations, or performing code reviews on projects using Prisma ORM.
Execute read-only SQL queries against PostgreSQL databases. Use when: (1) querying PostgreSQL data, (2) exploring schemas/tables, (3) running SELECT queries for analysis, (4) checking database contents. Supports multiple database connections with descriptions for auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.
Create client-side forms with react-hook-form, shadcn/ui form components, and server action integration for Next.js/Supabase applications. Use when building forms with validation, error handling, and loading states ('create a form', 'build the settings form', 'add form validation', 'wire up the edit form'). Generates complete form components with Zod schemas, toast feedback, and data-test attributes. Do NOT use for server-side logic (use server-action-builder or service-builder), database schemas (use postgres-expert), or E2E tests (use playwright-e2e).
Create outcome-based roadmaps using Now/Next/Later instead of Gantt charts. Use when asked to create a roadmap, plan quarterly, organize milestones, or figure out what to build over the next few months. Anti-date, anti-feature-list, pro-outcome.
Privacy and shielded transactions on Base via Veil Cash - ZK-based anonymous transfers
Deploy applications to Railway. Use when deploying services, databases, or full-stack applications to Railway PaaS. Covers Railway CLI and configuration.
AI-powered systematic codebase analysis. Combines mechanical structure extraction with Claude's semantic understanding to produce documentation that captures not just WHAT code does, but WHY it exists and HOW it fits into the system. Includes pattern recognition, red flag detection, flow tracing, and quality assessment. Use for codebase analysis, documentation generation, architecture understanding, or code review.
Analyze brownfield codebase and create initial continuity ledger
Use RepoPrompt CLI for token-efficient codebase exploration
File-based knowledge persistence patterns: when to store discoveries, when to recall past solutions, and how to organize project memory. Activate when starting tasks, encountering errors, making decisions, or when context may be lost between sessions.