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CanonryCanonry/aeo-audit/docs/skill.md

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Skill6 starsChanged 4 days agoMITView on GitHub

This package ships one umbrella skill source at skills/agent-readiness/SKILL.md. ClawHub package: arberx/agent-readiness If you're testing the skill from a local checkout instead of the published package, build first and use the local CLI:

165 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use import-memory, perf and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • amirbironSkill

    import-memory

    Import a memory export from another AI assistant into Claude's memory — conversationally, additively, and with the content treated as data.

    Also in 3 projects that use this

  • MicrosoftSkill

    perf

    Speed and memory performance rules for Rust crates, the Node addon, webui-framework, and webui-delivery.

    Also in 4 projects that use this

  • diego-tobalinaSkill

    build-fix

    Fix build and compilation errors systematically. Run when build fails.

    Also in 3 projects that use this

  • JkudjoSkill

    incident

    Production incident response — structured triage, hypothesis tree, safe remediation, incident record

    Also in 4 projects that use this

  • vbrevikSkill

    work

    Use when the user says 'plan', 'todo', 'copy plan', 'append plan', 'resume plan', 'priorities', or 'what's next'.

    Also in 7 projects that use this

  • mbwsimsSkill

    impact

    This skill should be used when the user asks to "check the impact", "what will break if I change this", "blast radius", "impact analysis", "what depends on this", "who imports this", "is it safe to change this", mentions "/impact", or wants to understand the consequences of modifying a specific file or function before making changes.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 129 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If you're testing the skill from a local checkout instead of the published package, build first and use the local CLI:

    line 44

“Common” is measured: kept by at least 6 in 10 of the 129 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
skill.md

Claude Code / ClawHub skill

This package ships one umbrella skill source at skills/agent-readiness/SKILL.md.

ClawHub package: arberx/agent-readiness

Command

/agent-readiness <mode> <url> [flags]

Modes

  • audit: scoring and diagnosis
  • fix: code changes after an audit
  • schema: JSON-LD validation
  • llms: generate llms.txt and llms-full.txt
  • monitor: before/after tracking or competitor comparisons

Examples

/agent-readiness audit https://example.com
/agent-readiness fix https://example.com
/agent-readiness schema https://example.com
/agent-readiness llms https://example.com
/agent-readiness monitor https://site-a.com --compare https://site-b.com

Install

# Personal install
git clone https://github.com/Canonry/agent-readiness.git /tmp/agent-readiness
cp -r /tmp/agent-readiness/skills/agent-readiness ~/.claude/skills/

# Or project-level
cp -r /tmp/agent-readiness/skills/agent-readiness .claude/skills/

Testing the skill from this repo

If you're testing the skill from a local checkout instead of the published package, build first and use the local CLI:

pnpm run build
node bin/agent-readiness.js https://example.com --format json

Download now (ZIP)

Does it work?

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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.