repomix
Package entire code repositories into single, AI-optimized files. Ideal for providing codebase context to LLMs like Claude, ChatGPT, and Gemini for analysis, security audits, and bug investigations.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
508 skills found
Package entire code repositories into single, AI-optimized files. Ideal for providing codebase context to LLMs like Claude, ChatGPT, and Gemini for analysis, security audits, and bug investigations.
Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.
Provider-agnostic MCP skill for wait-for-change automation on PR events like status checks, merges, and comments.
Manual testing suite for JUCE audio plugins. Features automated test execution, pluginval validation (strictness 10), and structured DAW testing checklists for stability and quality assurance.
Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.
Build no-code MCP servers that orchestrate tools as directed graphs using YAML for data transformation, conditional routing, and automated workflows.
Statistical modeling and econometrics library for Python. Performs OLS, GLM, mixed models, ARIMA, diagnostics, and inference for rigorous scientific analysis.
Expert Zed editor assistant for settings, keymaps, tasks, AI agent profiles, and language server configuration.
Official Mastra framework guide. Master AI agent and workflow development with local documentation lookup, API verification, and TypeScript-based project management.
Expert guidance for building production-ready applications with Anthropic's Claude API. Covers SDKs, prompt caching, batch processing, streaming, tool use, and cost optimization strategies.
Transform passive learning content like transcripts and tutorials into actionable Ship-Learn-Next cycles with concrete implementation plans and progress-oriented quests.
Persistent, Git-friendly memory for Claude. Automatically store and retrieve project decisions, bug fixes, and coding patterns in a local .mv2 file.