Agent Skills Hub

debug-hooks

Systematic debugging workflow for Claude Code hooks. Use to troubleshoot non-firing hooks, output errors, or unexpected behavioral issues.

bazinga-db-core

Manage database orchestration sessions, state snapshots, and system-level operations for the BAZINGA-DB core engine.

svelte-testing

A Svelte 5 testing expert using vitest-browser-svelte and Playwright. Provides patterns for unit, SSR, and E2E tests, plus a CLI tool for AI assistants to fetch testing patterns.

certification-proflie

A project-specific template skill for maintaining architectural consistency, coding standards, and deployment workflows in AI-powered full-stack applications.

everything-claude-code

A comprehensive configuration toolkit for Claude Code featuring battle-tested agents, skills, hooks, and automation workflows for software development.

github-project-management

AI-driven GitHub project management using swarm coordination, automated issue triage, project board synchronization, and intelligent task decomposition for efficient development workflows.

app-builder

Full-stack application orchestrator that analyzes natural language requests to determine tech stacks, scaffold projects, and coordinate specialized development agents.

agent-sdk

Expert skill for building and maintaining AI agents using the Claude Agent SDK, covering architecture, tool integration, MCP servers, and agentic workflows.

backend-rag-implementation

Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.

web-shader-extractor

Extract, deobfuscate, and port WebGL/Canvas/Shader visual effects from websites into standalone, native JavaScript projects.

contract-testing

Implement consumer-driven contract testing for microservices using Pact, schema validation, and API versioning to prevent breaking changes and ensure distributed team coordination.

symbols

Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.