agent-readiness
Make a website usable by user-triggered AI agents and machine clients without confusing agent operability with GEO ranking.
Skill by luxiaolei
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/luxiaolei-agent-readiness
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agent-readiness
What's inside
- Skill name
agent-readiness- Description
- Make a website usable by user-triggered AI agents and machine clients without confusing agent operability with GEO ranking.
- License
- MIT
- Instructions
- 23 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- SKILL.zh-CN.md
SKILL.md (first lines)
# Agent Readiness This is distinct from GEO. GEO asks whether answer engines can understand/cite content; agent readiness asks whether an AI agent acting for a user can reliably read, navigate, fill, submit, and confirm workflows. ## Foundation 1. Prefer accessible semantic HTML, meaningful labels/roles, keyboard-operable controls, stable confirmation states, and content available without fragile hover-only interactions. 2. Ensure important public content is available in rendered/server-delivered form appropriate to the site, and that critical actions expose deterministic success/failure states. 3. Separate access policy by purpose: search/indexing, model training, and user-triggered agents are not the same category. Do not infer one policy from another bot's robots status. 4. Test WAF/CAPTCHA/login behavior only when authorized, and report what was tested rather than claiming universal agent access. 5. Protect private or consequential actions with authentication and explicit confirmation rather than robots.txt. ## Optional enhancements Machine-readable Markdown variants, discovery documents, API catalogs, agent cards, or WebMCP-style tools may improve some agent workflows, but their support is platform- and browser-dependent. Treat them as optional interoperability experiments, not SEO prerequisites or guaranteed traffic/citation levers. For agent-callable transactional tools, expose the smallest real operation, accurate descriptions, clear consequential-action metadata, validation, confirmation, logging, and idempotency where appropriate. Never write tool descriptions that instruct an agent to bypass user confirmation. ## Verify Run the real workflow with an approved browser/agent when available: discover -> navigate -> fill/select -> submit -> observe confirmation. Capture failures in accessibility, dynamic rendering, auth/WAF, ambiguous state, or unsafe tool design. Route ranking/citation questions back to `geo-optimization` and `ai-visibility`.
From luxiaolei/AutoSpread, MIT.
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channel-selection
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geo-optimization
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Make product and content pages easy for people and answer engines to understand, extract, verify, compare, and cite without treating GEO as a ranking hack.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/luxiaolei/AutoSpread
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from luxiaolei
- 0.567score
autospread
luxiaolei
Growth Lead method for diagnosing the biggest growth constraint, choosing the smallest useful playbook, and operating within an explicit autonomy policy.
SkillAFreshness: AClaude Code +9 - 0.561score
paid-acquisition
luxiaolei
Run bounded paid acquisition experiments only when audience, offer, destination, attribution, budget, and stop rules are ready.
SkillAFreshness: AClaude Code +9 - 0.561score
channel-operations
luxiaolei
Prepare, publish, schedule, and verify approved content through authorized APIs, CLIs, or UI automation while preserving external evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
channel-selection
luxiaolei
Choose a small channel portfolio based on audience behavior, product demonstration fit, intent, economics, and existing evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
customer-research
luxiaolei
Research customer problems, alternatives, triggers, objections, and language with traceable evidence that can change product or growth decisions.
SkillAFreshness: AClaude Code +9 - 0.561score
ecommerce-seo
luxiaolei
Audit stores and product catalogs across product/category pages, variants, structured data, merchant surfaces, faceted navigation, and commercial search…
SkillAFreshness: AClaude Code +9
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Cite this page
agent-readiness skill. Agent Mart. https://agentmart.dev/skills/luxiaolei-agent-readiness (last updated 2026-10-24)