agent-readiness-audit
bymohitagw15856· 53 skills
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.
How to install agent-readiness-audit?
mohitagw15856/pm-claude-skills/agent-readiness-audit
$npx -y skills add mohitagw15856/pm-claude-skills --skill agent-readiness-auditInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mohitagw15856/pm-claude-skills" --skill "mohitagw15856/pm-claude-skills/agent-readiness-audit"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mohitagw15856/pm-claude-skills" that are relevant to the current task. Run `npx skills add "https://github.com/mohitagw15856/pm-claude-skills"` and select the relevant skills, then follow their instructions.
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