Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations,...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge,...
Ultimate AGI Evolution - 200 UltraThink thoughts, quantum branching, self-improvement loops, cross-skill orchestration, and predictive goal decomposition. The pinnacle of autonomous agent capability.
Automatic support for (Claude) Skills for any coding agent that supports AGENTS.md
REQUIRED skill for creating Loom execution plans. Designs DAG-based plans with mandatory knowledge-bootstrap and integration-verify bookends, parallel subagent execution within stages, and...
Operate E2B agent sandboxes using the CLI. Use when user needs to run code in isolation, test packages, execute commands safely, or work with binary files in a sandbox environment. Keywords:...
Agentic Workflow Pattern
A "polyfill" that standardizes and centralizes AGENTS.md configuration and Agent Skills support within your repository.
Agent Orchestration Rules
Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for...
Ultimate AGI-level autonomous agent with FULL MCP integration. Expert in multi-step reasoning, self-improvement, tool orchestration, and goal decomposition. Uses all 11 MCP servers for maximum capability.
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Orchestrate comprehensive planning phase from ideation to development-ready specifications using 4 specialized agents
Build LLM applications with LangChain and LangGraph. Use when creating RAG pipelines, agent workflows, chains, or complex LLM orchestration. Triggers on LangChain, LangGraph, LCEL, RAG, retrieval,...
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Offloading tasks with a well-defined scope to sub-agents, for instance to use a sub-agent to implement a set of specs. Use this skill whenever a task should not need a broad knowledge of the whole project
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
Split work across subagents with explicit contracts, interfaces, and merge strategies. Use when parallelizing tasks, distributing workload, or orchestrating multi-agent workflows.
Local-first backlog workflow. Use when planning work, creating/updating backlog items, writing ADRs, enforcing Ready gate, generating views, or maintaining derived indexes (SQLite/FTS/embeddings).