Agent Skills Hub

claude-ralph

An autonomous AI agent loop that executes Claude Code repeatedly to build features from structured PRDs until completion.

github-workflow-automation

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

python-plan-optimization

6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).

creating-agents-md

Provides a standardized template and guidelines for creating agents.md files to deliver project-specific context to AI coding assistants.

codebase-inspection

Analyze codebase statistics: LOC, language distribution, and code-to-comment ratios using pygount.

npm-trusted-publishing

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

context-detection

Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.

plan-down

Method-driven planning workflow that intelligently decomposes tasks into structured plan.md files using zen-mcp tools, adapting to user clarity and automation needs.

semantic-compression

Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.

gh-fix-ci

Debug failing GitHub Actions CI checks by fetching logs, summarizing failures, and planning fixes.

using-git-worktrees

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

Writing Hookify Rules

Create and configure Hookify rules to watch for specific patterns in files, bash commands, or user prompts.