ai-collaboration-standards
Prevents AI hallucination and ensures evidence-based, verifiable outputs when analyzing code, reviewing technical documents, or providing recommendations.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
502 skills found
Prevents AI hallucination and ensures evidence-based, verifiable outputs when analyzing code, reviewing technical documents, or providing recommendations.
Dynamic meta-router for managing and orchestrating multi-domain AI coding agent skills across plugins and projects.
Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.
Official MCP server for iOS/macOS development: streamline builds, tests, runs, debugging, and UI automation using Xcode and CLI workflows.
Break down complex development requests into sequenced, actionable tasks for multi-agent delegation in Claude Code environments.
Expert assistant for the DGame Unity framework, facilitating development, architecture, hotfix, and resource management within the TEngine-based ecosystem.
Autonomous iteration loop for AI software development. Executes tasks, validates code, and manages state until completion. Ideal for implementing complex PRP plans.
Create structured, high-quality technical implementation plans via an agent-driven, iterative process. Ideal for complex refactoring, new features, and technical design.
A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.
AI-powered documentation engine that automatically generates C4 architecture diagrams, technical specs, and codebase analysis from any source code directory.
Manage Neovim configurations, plugin ecosystems, and custom reproducible builds.
Maintenance patterns for the @youdotcom-oss/mcp STDIO bridge, focusing on transport lifecycle management, shutdown guards, and robust error handling.