Agent Skills Hub

ai-llm-patterns

Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.

sparc-methodology

SPARC methodology for multi-agent development: systematic Specification, Pseudocode, Architecture, Refinement, and Completion workflows via Claude Flow orchestration.

plumb

Keep your technical specifications, test suites, and source code perfectly synchronized during AI-assisted development.

hegelion

Dialectical reasoning and adversarial coding agent for MCP-enabled editors, forcing LLMs to resolve internal contradictions for higher quality outputs.

python

Python coding assistant providing best practices, PEP 8 enforcement, automated testing with pytest, and dependency management using uv.

analyze-project

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

moonbit-agent-guide

Expert guide for MoonBit development, including project scaffolding, modular layout, build tooling, and testing best practices.

github-copilot-agent-tips-and-tricks

Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.

subagent-driven-development

Execute implementation plans using isolated subagents for each task, featuring a rigorous two-stage review process for spec compliance and code quality.

prd

Generate professional Product Requirements Documents (PRD) and structure features for autonomous development cycles.

with-context-agent

Lints, validates, and auto-fixes AI agent configuration files like SKILL.md, CLAUDE.md, and MCP configs.

java

Java development skill for writing clean, maintainable code using SOLID principles, pragmatic abstraction, and self-documenting practices.