engagement-audit
Evaluates how conversational AIs interact with and cite brand content.
Skill by yuvraj1235
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/yuvraj1235-engagement-audit
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: design, security, writing
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
- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/engagement-audit
What's inside
- Skill name
engagement-audit- Description
- Evaluates how conversational AIs interact with and cite brand content.
- License
- MIT
- Instructions
- 17 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (3)
- SKILL.md
- index.js · scripts/
- package.json · scripts/
SKILL.md (first lines)
# engagement-audit ## When to use Use this skill to assess the readiness of a brand's content for consumption, summarization, and citation by conversational LLMs and RAG (Retrieval-Augmented Generation) systems. ## Inputs - `site` (string): An HTTP(S) URL or domain for a public website. ## Procedure 1. Inspect the readable content a new visitor and retrieval system can access from the bounded page snapshot. 2. Analyze the site's content density, clarity, and formatting for optimal LLM context window ingestion. 3. Check for the presence of highly-citable content (e.g., concise FAQs, clear value propositions). ## Output Returns evidence-backed findings and prioritized actions for clearer visitor orientation and citable answers.
From yuvraj1235/Adobe, MIT.
More from yuvraj1235/Adobe
- 0.523score
audit-orchestrator
yuvraj1235
Orchestrates the brand AI readiness audit and aggregates findings from specialized skills.
SkillBFreshness: BClaude Code +9 - 0.518score
crawl-render-audit
yuvraj1235
Analyzes site renderability and discoverability for LLM web crawlers.
SkillBFreshness: BClaude Code +9 - 0.518score
freshness-corroboration
yuvraj1235
Checks recency and consistency of brand data across the web.
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 13, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/yuvraj1235/Adobe
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from yuvraj1235
- 0.523score
audit-orchestrator
yuvraj1235
Orchestrates the brand AI readiness audit and aggregates findings from specialized skills.
SkillBFreshness: BClaude Code +9 - 0.518score
crawl-render-audit
yuvraj1235
Analyzes site renderability and discoverability for LLM web crawlers.
SkillBFreshness: BClaude Code +9 - 0.518score
freshness-corroboration
yuvraj1235
Checks recency and consistency of brand data across the web.
SkillBFreshness: BClaude Code +9
Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
engagement-audit skill. Agent Mart. https://agentmart.dev/skills/yuvraj1235-engagement-audit (last updated 2026-10-24)