Agent Skills Hub

Test Skill A

A CLI tool that automates the discovery and symlinking of agent skills distributed via npm packages, simplifying integration for AI-powered coding agents.

parallel-worktrees

Create and manage git worktrees for parallel coding sessions. Enable zero-dead-time development by running tests, builds, and multiple branch sessions simultaneously without interference.

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.

math-extractor

Extracts mathematical content like definitions, theorems, and proofs from documents (PDF, MD, TEX, TXT) using AI-based cleaning and conversion.

gitlab-api

Automate GitLab repository management with this API-based tool. Perform file operations, branch management, and project tracking directly through your AI agent.

pymatgen

Comprehensive Python toolkit for computational materials science, crystal structure analysis, phase diagrams, and Materials Project data integration.

anp-agent

Cross-agent interaction skill via ANP protocol. Use decentralized identity (DID) to discover and invoke remote agents like maps, booking, and logistics services across the ANP network.

ash

GitHub workflow assistant with integrated git and gh CLI support for managing repositories, branches, pull requests, and issues.

castella-packaging

Package Castella UI applications into cross-platform executables, macOS app bundles, or installers using ux, PyInstaller, or Nuitka. Includes code signing and notarization support.

Vercel Deploying

Automated Vercel production deployment agent that fetches logs via MCP, identifies build errors, applies fixes, and retries until success.

mcp-server-creator

Generate production-ready Stigmer McpServer YAML configurations for integrating external tools into your AI agents.

doc-sync

Synchronizes and maintains CLAUDE.md and README.md documentation hierarchy across a repository to ensure consistent, just-in-time context for AI agents.