Agent Skills Hub

springboot-patterns

Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.

documentation

Write, structure, and maintain technical documentation like READMEs, API docs, runbooks, and architecture specs to keep your team aligned and informed.

testing-strategies

Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.

self-reviewer

Implements an autonomous, critical self-verification layer for AI agents to validate code quality, security, and requirement alignment before task completion.

presentation-structure

Technical specification and structural guidelines for the project's single-file HTML/CSS/JS presentation system.

creating-agents-md

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

analyze-project

Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.

request-optimizer

An intelligent gateway that analyzes, scores, and routes user requests across 27 agents, 27 skills, and 14 MCPs to optimize Claude Code execution.

nano-banana

Automate Python scripting and Gemini-powered image generation using uv. Ideal for creating art, editing images, and running ad-hoc scripts.

drift

Frameworks and tools for AI agents exploring consciousness, identity, and persistent autonomy. Includes session handoff, memory infrastructure, and self-reflection protocols.

route-handlers

A specialized skill for building and managing Next.js App Router API routes, handling HTTP methods, request bodies, streaming, and response configuration.

llm-integration

A toolkit for building robust LLM integrations: API patterns, streaming, function calling, RAG pipelines, and cost-effective model routing.