This skill helps developers improve application speed and efficiency through proven optimization techniques including React performance, lazy loading, caching, and database query optimization.

AI assistants lose context across sessions, repos, and dates, forcing users to repeat background and re-explain decisions. OpenContext provides a lightweight context store that preserves project knowledge, decisions, and conclusions for consistent multi-session collaboration.

Complex tasks require coordinated effort across multiple AI agents. OMC provides teams-first orchestration with 32 specialized agents and smart model routing for efficient task completion.

Managing complex projects across multiple AI agents is fragmented and error-prone. This skill provides a unified orchestration layer with specialized agents, Serena Memory state sharing, and real-time observability dashboards.

This skill helps developers and DevOps engineers quickly identify errors, performance bottlenecks, and security threats in application logs using proven command-line techniques.

Managing external Git repositories as submodules can be complex. This skill provides step-by-step commands and examples for adding, updating, cloning, and removing Git submodules in your projects.

This skill helps AI assistants design optimized database schemas for SQL and NoSQL databases. It provides structured guidance for entity modeling, relationship design, indexing strategies, and migration scripts.

This skill automates GitHub Copilot Coding Agent to transform issues into Draft Pull Requests with a single label. Team members add the ai-copilot label, and Copilot handles implementation automatically.

This skill enables AI assistants to conduct professional code reviews by checking for bugs, security issues, code quality, and best practices. It provides structured feedback for pull requests.

This skill helps developers simplify complex code while preserving behavior. It provides step-by-step refactoring patterns like Extract Method, DRY principle, and SOLID design to improve code clarity and reduce technical debt.

Keep your software releases organized and informative. This skill provides templates and best practices for maintaining changelogs that developers and users can easily understand.

BMAD workflow orchestrator helps AI development agents manage structured development across Analysis, Planning, Solutioning, and Implementation phases with built-in quality gates.

Write comprehensive backend tests including unit tests, integration tests, and API tests using Jest, Pytest, or Mocha with proper mocking and coverage analysis.

This skill helps developers implement secure authentication and authorization for applications, covering JWT tokens, OAuth integration, password hashing, and role-based access control with battle-tested patterns.

This skill helps developers create professional API documentation with OpenAPI specs, interactive Swagger UI, code examples, and reference guides for REST and GraphQL APIs.

This skill provides comprehensive guidance for designing RESTful and GraphQL APIs following industry best practices. It helps developers create well-structured, versioned, and documented APIs.

Learn optimized workflows for AI agents like Claude Code, Gemini, and Codex. This skill provides commands, shortcuts, and multi-agent patterns to boost daily development productivity.

Quickly share HTML pages, PDFs, or presentations by uploading to ShareOne platform with optional password protection. Get instant public links for your generated content without manual upload steps.

This skill helps product teams create detailed Product Requirements Documents for AI agent execution. It guides users through clarifying questions about feature goals, scope, and quality gates, then generates structured PRDs with user stories and acceptance criteria.

Transform lengthy Product Requirements Documents into structured, executable JSON task files. Ralph-tui uses these files to autonomously implement features story by story with proper dependency management and quality gates.