AI Agent Skills Marketplace

Professional QA & UAT documentation generator for AI automation agencies and complex agent deployments.

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.

Evaluate market opportunities with technical decomposition, directional sizing, and measurable next-move recommendations.

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.

Audit your AI agent's evaluation coverage to identify missing release gates and production risks.

Autonomous 24/7 DeFi yield optimizer that monitors, evaluates, and rebalances your portfolio for maximum APY.

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.

Diagnose why your AI skills are underperforming and systematically turn weak SKILL.md files into reliable, high-quality, marketplace-ready assets.

Automate Agensi skill scouting, evaluation, and strategic portfolio curation via MCP.

Generate and evaluate breakthrough brand names using David Placek's $300B Lexicon Branding methodology.

Evaluate and diagnose Product-Market Fit using a multi-stage evidence ladder and expert measurement frameworks.

Evaluate any feature request with structured scoring and a Build / Investigate / Defer / Decline decision.

Instantly diagnose any skill or prompt and get a clear, prioritized report on what’s wrong and how to fix it — across any agent.

Design and evaluate production-grade observability systems using the 12-layer Full Stack Observatory reference model.

Optimization-Loop

by Martin Gunderman

$19

or 95 cr

Autonomous loop that iteratively modifies, evaluates, and selects the best version of any text resource — skills, prompts, or campaigns — using a modify-measure-keep/discard cycle.

Find and evaluate the best free Agensi marketplace skills for your specific development needs using Grok and MCP.

🤖 3. AI Readiness Score

by Martin Gunderman

$7

or 35 cr

Evaluate company AI maturity across 6 dimensions with weighted scoring, radar charts, and a GDPR risk audit.

Package Supply-Chain Sentinel

by JustHandled Labs

$19

or 95 cr

Vet dependency changes for supply-chain risk before you install, commit, or release. Scans package and lockfile diffs for install-time lifecycle scripts, non-registry sources, suspicious download commands, typosquatting, and floating versions, across npm, pnpm, yarn, pip, uv, and poetry. Flags what to review with evidence. No install required.

✂️ Em Dash Cliche Stripper

by JustHandled Labs

$5

or 25 cr

Flag every em-dash and AI transition cliché in a draft and get a plain replacement suggestion for each. Catches em-dashes (the "ChatGPT dash"), overused transition words and phrases (moreover, furthermore, "in today's digital age," delve), and dash-like punctuation doing vague connective work. It flags and suggests; you decide what to change.

🛡️ Ad Copy Policy Linter

by JustHandled Labs

$12

or 60 cr

Check ad copy for the editorial issues that get Google and Meta ads disapproved, before you submit. Flags all-caps words, gimmicky punctuation (!!, ??), prohibited and hype words, Meta's banned personal-attribute framing ("Are you over 40?"), absolute or unsubstantiated claims, ad-field length overflow, and trademark-term risk. The word lists and field limits are editable, so you can tune it to your accounts.