Agent Skills Hub

jules-skill

Manage Jules (Google's async AI coding agent) directly from your terminal. Create, monitor, and interact with Jules coding sessions, approve plans, and handle feedback loops across repositories.

steering-specs-generator

Extract tacit engineering knowledge through guided interviews and generate structured steerings for consistent project standards and conventions.

docs-generator

Generate hierarchical, AI-optimized documentation structures (AGENTS.md, agent.d) to streamline codebase context, setup, and navigation for AI coding assistants and developers.

dev

Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.

claude-code-meta

Build Claude Code extensions: skills, agents, hooks, plugins, and slash commands. Includes builder agents for autonomous component creation and structure management.

trigger-dev-tasks

Expert assistant for designing and optimizing production-grade Trigger.dev background jobs, AI workflows, and resilient asynchronous task architectures in TypeScript.

landing-page-angle-tester

Generate diverse landing page narrative angles, define target audiences, and specify required evidence for conversion-focused marketing workflows.

reflect-appworld-failure

Analyze AppWorld task failures to extract specific API patterns and generate actionable playbook bullets with concrete code examples.

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.

qmd

Local hybrid search engine for markdown notes, documentation, and codebase knowledge bases to reduce token consumption and improve retrieval efficiency.

code-security

Comprehensive secure coding guidelines for 15+ languages, covering OWASP Top 10, infrastructure security, and best practices to identify vulnerabilities in code, configurations, and cloud setups.

langchain-chat-models

A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.