AI Agent Skills Marketplace

Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.

prompt-engineer

by Roy Yuen

Popular

Free

Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.

Design, debug, and optimize production RAG systems with expert architecture, hybrid search, and grounding strategies.

Professional prompt engineering, audit, and evaluation system for production-grade AI agents and workflows.

Published AI benchmarks measure brains in jars. They test models in isolation or within a single reference harness — and then attribute all performance to the model. This skill teaches you to decompose agent performance into its two actual components: model capability and harness multiplier. The result is evaluations that predict real-world behavior instead of benchmark theater.

Design, debug, and harden AI control loops with explicit contracts and automated verification harnesses.

agent-tool-governance

by LocoLoboZ

$10

or 50 cr

A proactive governance layer that validates MCP tool intent and scope to ensure safe, compliant agent behavior.

GuardrailDoctor

by Fairy Squadmother

$29

or 145 cr

Automated security auditing and penetration testing for Claude Code agent guardrails and security hooks.