evaluating-ai-harness-dimensions
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.
New: Credits are here. One balance for web and MCP. See pricing
Works with every major AI coding agent
Skills are portable instruction sets that extend what AI coding agents can do. Each skill is a SKILL.md file your agent reads to learn new capabilities, from writing tests to deploying infrastructure. Compatible with Claude Code, OpenClaw, Codex CLI, Cursor, and 20+ agents. Browse the marketplace to find skills built by the community, or publish your own.
17 skills found
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.
Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.
by Roy Yuen
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.
by Roy Yuen
Design, debug, and harden AI control loops with explicit contracts and automated verification harnesses.
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.
by LB Creations
Maintain durable, lean, and consistent AI agent memory across sessions while preventing context bloat and data leaks.
Converts internal SOPs, policies, checklists, and process notes into structured AI-agent workflows with decision trees, escalation rules, QA checkpoints, and audit-ready outputs.
Audits AI agent failures and converts recurring mistakes into durable rules, anti-patterns, regression tests, memory candidates, and improved SKILL.md sections.
Transforms undocumented repositories into professional README files, setup guides, command maps, architecture notes, environment references, testing docs, and AI agent handoff files.
Audit, score, and improve your AI agent skills for higher quality, lower token costs, better reliability, and marketplace success. Get actionable recommendations for prompts, instructions, tool usage, error handling, and user experience.
by Danejw
An autonomous agent that scouts real-world demand signals to find and rank high-leverage revenue opportunities.
Analyzes AI agents for performance, reliability, security, and optimization opportunities.

An adversarial reviewer for AGENTS.md and agent instruction files. It flags ambiguous or contradictory rules, missing guardrails, vague tool and scope definitions, and untestable instructions, then returns a PASS / REVISE / BLOCK verdict — before the config drives your agent.
by Timoranjes
Comprehensive security auditing for AI agents, covering prompt injection, tool permissions, and data leakage risks.
by Shogun Labs
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
Discover AI agent skills that accelerate UI development, component generation, CSS styling, and design system workflows. These skills help agents write cleaner front-end code and ship pixel-perfect interfaces faster.
View allEquip your AI coding agent with skills for writing unit tests, integration tests, and end-to-end tests. Improve code coverage, catch regressions early, and automate quality assurance workflows.
View allSkills that help AI agents manage CI/CD pipelines, Docker containers, infrastructure-as-code, and cloud deployments. Automate your deployment workflows and reduce operational overhead.
View allGive your AI agent the ability to perform thorough code reviews, identify anti-patterns, suggest refactors, and enforce coding standards automatically across your codebase.
View allSkills that help AI agents generate READMEs, API docs, inline comments, changelogs, and technical writing. Keep your documentation accurate and up-to-date with minimal effort.
View allBoost your development workflow with skills for task management, code scaffolding, boilerplate generation, and workflow automation. Help your AI agent save you hours of repetitive work.
View allSkills for working with databases, data pipelines, ETL processes, SQL optimization, and data modeling. Help your AI agent handle complex data transformations and schema design.
View allEquip your AI agent with skills for building REST APIs, GraphQL endpoints, authentication flows, and API integrations. Design, document, and ship robust APIs faster.
View all