Generate comprehensive documentation with intelligent orchestration and parallel execution

Configure a Rails project to work with Conductor (parallel coding agents)

Claude Code configs for the expert Solana builder. CLAUDE.md, agents, commands, hooks, rules, skills and settings across Web, Anchor, Pinnochio, Unity, Mobile and more.

High-performance reinforcement learning framework optimized for speed and scale. Use when you need fast parallel training, vectorized environments, multi-agent systems, or integration with game...

This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent...

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require...

Quality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate compliance. Use when tests need to pass, coverage targets must be met, quality gates...

Guide for using git worktrees to parallelize development with coding agents. Use this skill when the user requests to work in a new worktree or wants to work on a separate feature in isolation...

Orchestrates creation of Claude Code tools (skills, commands, agents, scripts). Use when user requests creating, updating, or improving any Claude Code extension mechanism. Triggers include...

FastAPI best practices, async patterns, and Pydantic validation

Control interactive terminal sessions via tmux. Use when tasks need persistent REPLs, parallel CLI agents, or any process requiring a TTY that simple shell execution cannot handle.

Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.

Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents.

Build real-time conversational AI voice engines using async worker pipelines, streaming transcription, LLM agents, and TTS synthesis with interrupt handling and multi-provider support

Official Cohere cookbooks and tutorials for production patterns. Links to RAG implementations, agent workflows, enterprise integrations, and real-world use cases from the Cohere developer...

This skill should be used when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph", "track entities", or mentions memory architecture, temporal...

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured...

Add bitcoin lightning wallet capabilities to your app using Nostr Wallet Connect (NIP-47) and LNURL. Send and receive payments, handle payment notifications, fetch wallet balance and transaction...

Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches...

Clean code patterns for Azure AI Search Python SDK (azure-search-documents). Use when building search applications, creating/managing indexes, implementing agentic retrieval with knowledge bases,...