Agent Skills Hub

test-writer

Generates comprehensive, best-practice unit tests for functions and classes, supporting multiple frameworks like pytest, unittest, and jest.

qras

A local RAG semantic memory system using Qdrant and Ollama. Ideal for recalling workspace files, notes, project decisions, and user preferences with high-relevance vector search.

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.

ring:testing-skills-with-subagents

A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).

durable-objects

Create, debug, and optimize Cloudflare Durable Objects. Supports stateful coordination, RPC, SQLite storage, WebSocket handlers, and Vitest testing.

debugging

Standardized debugging and diagnostic guidelines for AI coding agents.

claude-api

Expert guidance for Claude Messages API: structured outputs, prompt caching, tool use, and migration from deprecated Claude 3.x models to 4.5. Prevents common API errors.

theme-factory

Toolkit for applying consistent, professional styling to artifacts like slides, documents, and web pages using pre-set or custom-generated themes.

tanstack-integration-best-practices

Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.

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.

semgrep-rule-variant-creator

Port Semgrep rules to new languages using a strict, test-driven methodology. Includes applicability analysis, AST-based translation, and automated validation for each target language.

prompt-optimizer

Transforms vague or poorly structured prompts into optimized, high-performance instructions using proven prompt engineering principles for better AI model execution.