Agent Skills Hub

npm-trusted-publishing

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

Skills Guide

A comprehensive framework for creating, structuring, and managing reusable AI Agent Skills to standardize instruction-driven workflows.

github-pr-creation

Automated GitHub Pull Request creation with task validation, test execution, Conventional Commits formatting, and project-aware label suggestions.

production-deployment-phase

Automates production deployment workflows with version management, health checks, release tagging, and post-deployment monitoring.

dyad:swarm-pr-review

Collaborative PR review using a swarm of three specialized AI agents (Correctness, Health, UX) that discuss findings and reach consensus before posting a structured summary with inline comments.

using-git-worktrees

Creates isolated git worktrees for parallel development, automatically handling directory selection, .gitignore safety checks, dependency installation, and baseline test verification.

github-navigator

GitHub operations via gh CLI. Use for repository inspection, issues, PRs, releases, and deep codebase analysis including cloning for architectural insights.

orchestrator

Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.

command-executor

Safely execute, test, and verify commands discovered in documentation with real output capture, performance tracking, and git-aware safety protocols.

tooling-setup

Production-ready scaffolding for React 19 projects using Vite, TypeScript, Biome, and Vitest. Provides strict configuration, linting, formatting, and testing infrastructure.

openclaw-ghsa-maintainer

Manage GitHub Security Advisory (GHSA) workflows: inspect, patch, validate, and publish security patches for the OpenClaw repository while ensuring fork consistency.

quality-fixer

Automatically apply safe quality fixes including formatting (Black, isort), linting (Ruff auto-fixes), and resolving formatter conflicts to maintain Python code quality.