What problem does it solve?
This skill eliminates the guesswork of whether websites, applications, APIs, tools, documentation, or codebases can be reliably used by AI solution and coding agents, preventing failed automations, brittle scraping workflows, and unreliable agent outputs caused by poor agent-facing system design.
Core Features & Use Cases
- Discovery & Crawl Policy Audit: Evaluates robots.txt, sitemaps, route accessibility, and crawl foundations to confirm agents can find the correct public or authorized system surfaces.
- Data & Action Surface Assessment: Checks for documented APIs, feeds, SDKs, MCP tools, and executable examples to verify agents can retrieve authoritative data and execute actions without manual intervention or fragile scraping.
- Evidence-Backed Readiness Scoring: Generates a structured audit report with category scores, prioritized findings, and actionable fixes, aligned with current agent-readiness standards and conventions.
- Use Case: For a SaaS product with a public API and user documentation, use this skill to identify gaps that would prevent a coding agent from reliably pulling user data, executing workflow actions, or recovering from errors.
Quick Start
Use the assess-agent-readiness skill to audit the agent readiness of your public SaaS product's API and documentation set.
