Agent Skills Hub

research

Rigorous research skill that enforces source verification via WebFetch and content analysis to prevent hallucinated citations.

systematic-debugging

A rigorous, four-phase methodology to enforce systematic root cause analysis before applying any code fixes.

openai-agents-sdk

Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.

mcporter

A command-line tool to list, configure, authenticate, call, and inspect Model Context Protocol (MCP) servers via HTTP or stdio.

task-folder-migrator

Automates the migration of legacy single-file task lists to a structured, folder-based project management system.

performing-systematic-debugging-for-stubborn-problems

Executes a rigorous, multi-phase Fagan Inspection to systematically resolve persistent, stubborn bugs and complex code interactions.

tmux

Remotely control tmux sessions for interactive CLIs by sending automated keystrokes and scraping pane output.

readme

Generate absurdly thorough, professional README.md files for any project, covering local development, system architecture, and deployment instructions.

pr-checks

Automate PR quality checks by reviewing CodeRabbit comments, validating PR descriptions, running pre-commit hooks, and executing test suites.

git

Safe, protocol-driven Git operations for committing, pushing, and PR management using the GitHub CLI (gh).

Debug Workflow

Interactive debugging workflow for Ruby test suites using the debug gem, featuring step execution, system state inspection, and root cause analysis.

agent-system

Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.