How to build a machine-readable agent skills index
A practical guide for teams using Claude Code, OpenClaw skills, and agent libraries to publish a crawlable skills index that AI assistants can understand and cite.
Practical workflows for getting cited and measured across major AI answer engines.
If you lead growth, SEO, or product marketing and need a clear AI visibility system, start here. We focus on signal quality, reproducible tests, and compounding distribution loops.
Every post includes a short scan-first summary at the top, followed by long-form implementation depth underneath so teams can move quickly without losing the full SEO and AEO context.
Scan the summary first, then open each guide for the full long-form playbook.
A practical guide for teams using Claude Code, OpenClaw skills, and agent libraries to publish a crawlable skills index that AI assistants can understand and cite.
Use an agent scorecard to connect Claude Code and OpenClaw workflow quality with AI discoverability, citation readiness, and practical publishing decisions.
A practical guide to tracking whether AI answer engines cite current Claude Code and OpenClaw skill documentation instead of stale runbooks, old changelogs, or missing pages.
A practical guide for Claude Code and OpenClaw teams that want agent skills, runbooks, and docs to keep showing up in AI answers after frequent releases.
Learn how to make Claude Code, OpenClaw skills, and agent libraries easier for AI answer engines to understand and cite without creating duplicate content sprawl.
A practical guide to tracing AI citations from Claude Code and OpenClaw agent outputs back to source pages, prompts, revisions, and monitoring data.