Agent Skills Hub

moai-workflow-worktree

Git worktree management for isolated parallel development, featuring automatic branch registration and seamless MoAI-ADK workflow integration.

skr

A command-line tool for managing, building, and deploying Agent Skills as OCI artifacts within the Agent Skills ecosystem.

managing-git-workflow

Standardizes HASH development workflows, including branch naming, Linear issue linking, PR templates, and review procedures.

github-workflow-automation

AI-driven GitHub Actions automation featuring swarm-based workflow orchestration, intelligent CI/CD pipeline management, and autonomous repository maintenance.

git-worktrees

Manage Git worktrees for parallel feature development. Automates environment setup, branch hierarchy enforcement, and workspace cleanup based on Langstar's issue-driven workflow.

git-workflow

Standardized Git workflow for pattern development, including rebase strategies, pull request creation, and upstream synchronization for collaborative community repository management.

npm-trusted-publishing

Implement secure, tokenless npm publishing in GitHub Actions using OIDC, provenance attestations, and monorepo-friendly configuration.

skill-repo

Standardize, validate, and manage Netresearch AI agent skill repositories with automated structure enforcement, distribution workflows, and licensing compliance tools.

vertesia-plugin

Framework for building Vertesia plugins with a dual tool-server and UI architecture, featuring Hot Module Replacement, build-tools, and asset management.

plugin-lifecycle

Manages complete plugin lifecycle for JUCE development: install, uninstall, reset, and destroy. Handles system folder deployment, cache management, and safe, version-controlled removal for audio developers.

moonbit-agent-guide

Expert guide for MoonBit development, including project scaffolding, modular layout, build tooling, and testing best practices.

project-guidelines-example

A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.