agent-readiness-audit

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Audit whether AI agents can actually use your product — docs, APIs, onboarding, errors, and discoverability, evaluated from a non-human user's perspective. Use when asked if a product is agent-ready, to audit a site or API for AI usability, to prepare for agentic traffic, or when agents keep failing against your product. Produces a scored readiness report with per-surface findings and a prioritised fix list. For optimising a single article for AI citation use aeo-optimizer; for designing the MCP server itself use mcp-server-spec.

AI & Automation 1,228 stars 220 forks Updated today MIT

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Skill Content

# Agent Readiness Audit Skill A growing share of your product's users aren't human: agents research it, evaluate it, onboard onto it, and operate it on their principals' behalf. They can't watch your demo video, guess what an unlabeled icon means, or call support. This skill audits every surface an agent touches and scores how much of your product is invisible or unusable to them. ## What This Skill Produces - A **readiness score by surface** (discovery, docs, API/auth, errors, onboarding, transactions) - **Per-surface findings** with the failing artifact quoted and the fix - A **prioritised fix list** ranked by agent-traffic impact vs effort - A **re-test protocol** so readiness is measured, not vibed ## Required Inputs Ask for (if not already provided): - **The product** and its public surfaces (site, docs URL, API reference, status page) - **What agents will be asked to do** with it — research/compare? sign up? operate it daily? - **What exists already**: llms.txt? MCP server? OpenAPI spec? If unknown, the audit checks - **Any observed agent failures** (the best audit seed there is) ## The Audit Surfaces Walk each surface asking one question: *could a capable agent, starting cold, complete its job here without a human unblocking it?* **1. Discovery — can agents find and understand what you are?** `llms.txt` present and current · docs fetchable as clean markdown/text (not JS-rendered walls) · pricing and limits stated in prose an agent can quote · comparison-relevan...

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Author
mohitagw15856
Repository
mohitagw15856/pm-claude-skills
Created
5 months ago
Last Updated
today
Language
HTML
License
MIT

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