Agent readiness
Skill wakqasahmed/agentic-commerce-skills/skills/agentic-commerce/agent-readiness
Canonical agentic commerce skills, aggregated by wakqasahmed/skills
npx -y skills add wakqasahmed/agentic-commerce-skills --skill agent-readinessAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Check whether AI agents can discover, read, cite, and safely act on an ecommerce storefront. Use for agentic commerce readiness reviews.
SKILL.md
1.4 KB, as published. Nobody here has run it
Agent Readiness
Workflow
- Confirm crawl access and public URL quality.
- Check product/category/policy readability without client-side-only traps.
- Check structured product data, variants, availability, price, and policy context.
- Check whether support and checkout actions are clearly bounded.
- Identify missing agent-facing affordances such as sitemap,
llms.txt, markdown-friendly content, or API/protocol paths.
Run the checks with the commands in references/checks.md and cite command output as evidence for each finding.
Delegation
- Access-file depth (robots, sitemap, llms.txt) →
llms-txt-and-crawler-access. - Structured-data depth →
schema-markup-auditfrom the ai-visibility pack. - Scoring and routing the whole store →
readiness-audit; this skill feeds its agent-access dimension.
Guardrails
- Separate read readiness from action readiness.
- Return explicit blocker codes for unavailable crawl access, raw-HTML product gaps, missing product facts, policy/support gaps, or an unknown action boundary; do not call an action safe merely because catalog content is readable.
- See
../references/guardrails.mdfor shared cross-skill guardrails (autonomous action safety, evidence provenance, internal runtime disclosure).