agent-readiness-audit
FeaturedAudit 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.
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Quality Score: 96/100
Skill Content
Details
- Author
- mohitagw15856
- Repository
- mohitagw15856/pm-claude-skills
- Created
- 7 months ago
- Last Updated
- yesterday
- Language
- HTML
- License
- MIT
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agent-readiness-audit
Use when the user wants to know whether AI agents buying on a customer's behalf can find, evaluate and act on their product — machine-customer readiness, agentic commerce, or being included in AI-mediated comparisons. Also use when the user mentions AI agents buying, machine customers, agentic commerce, MCP, llms.txt, "can ChatGPT actually buy from us", or being left out of AI-generated shortlists. Scores five dimensions, names the blockers, and specifies the fixes in cost order.
agent-web-audit
Audit a website or web app for AI-agent readiness, accessibility, and AI-search legibility, then fix the issues found. Use this skill whenever the user wants their site to work well for AI agents or LLMs (Claude, ChatGPT, Perplexity, Grok, Gemini, browser agents), or mentions "agentic SEO", "GEO", "AEO", "AI-friendly site", "agent-ready", "accessibility tree", "llms.txt", "make my site readable for AI", or the Lighthouse "Agentic Browsing" audit. Also trigger when the user asks to check or fix a frontend for semantic HTML, ARIA, label linking, cursor:pointer, layout stability, or how a site appears to crawlers and agents. Works on plain HTML, React/Next.js, Vue, and server-rendered templates. Trigger even if the user only says "make this site useful for AI" without naming a specific check.
agent-production-readiness
Reviews an AI agent for production readiness across evaluation, cost, observability, guardrails, human oversight, reliability, and governance. Use when someone is preparing an agent for production or a go-live, asking whether an agent is ready to ship, reviewing an agent's design, prompt, tools, or deployment, or hardening a working prototype into a dependable system. Produces an evidence-based scorecard and a prioritized list of the gaps to close.