AI Agent Skills Marketplace

Evaluates AI coding agent platforms across five structural dimensions that determine real-world performance independently of model quality, so teams select on architectural fit rather than benchmark scores.

prompt-engineer

by Roy Yuen

Popular

Free

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

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.

production-agent-architect

by Roy Yuen

$6

or 30 cr

Architect, scaffold, and harden production-grade AI agents with battle-tested patterns and systematic evaluation.

Scan AI agent skill definitions for malicious instructions, prompt injections, and security risks—locally.

AI Agent Self-Improvement Memory Auditor

by Shandra

$50

or 250 cr

Audits AI agent failures and converts recurring mistakes into durable rules, anti-patterns, regression tests, memory candidates, and improved SKILL.md sections.

Maintain durable, lean, and consistent AI agent memory across sessions while preventing context bloat and data leaks.

An autonomous agent that scouts real-world demand signals to find and rank high-leverage revenue opportunities.