Agent Skills Hub

create-worktree

Automates the creation of isolated git worktree environments for parallel feature development and environment setup.

Create New Skills

A framework for creating reusable Claude Code agent skills, following best practices for directory structure, progressive disclosure, and multi-file patterns.

wm-git-worktree-manager

Efficiently manage git worktrees with automated file synchronization, background task execution, and CLI-based workspace orchestration.

debugging

Standardized debugging and diagnostic guidelines for AI coding agents.

predict-lucky-number

Generates a random lucky number between 0 and 9999 for games, decision-making, or entertainment.

writing-go-tests

Applies current Go testing best practices, including concurrent testing, mocking, and table-driven design for robust software development.

jlens-mcp

Expert-level Java codebase analysis and Maven dependency management skill. Enables deep bytecode inspection, multi-version dependency conflict resolution, and automated project building via MCP integration.

agent-architecture

Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.

api-docs-generator

Automated API documentation engine that generates and updates OpenAPI specs and Markdown from code changes.

iterating

Stateful, multi-session workflow manager that uses Work Logs to persist context, enable checkpoints, and manage iterative progress across long-running tasks.

claude-code-mechanism-selector

A decision-support tool for Claude Code users to select the optimal extension mechanism—slash commands, skills, subagents, or hooks—based on project requirements.

writing-agents

A framework for creating, testing, and managing autonomous AI subagents within project environments using Test-Driven Development principles.