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nasrulhazim
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project-inventory

Scan directories for CLAUDE.md and .claude signals to generate Markdown, JSON, and HTML project inventories.

20|5|Updated Feb 27, 2026
Search Tags:#dashboard#reporting#inventory#claude-code#project-discovery#ai-projects
One-click install
npx skills add https://github.com/nasrulhazim/agent-skills --skill project-inventory
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: project-inventory
Source: https://github.com/nasrulhazim/agent-skills/tree/main/skills/project-inventory
Command: npx skills add https://github.com/nasrulhazim/agent-skills --skill project-inventory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Discovers Claude Code and AI-integrated projects across workspaces, consolidating scattered signals into a centralized inventory with Markdown, JSON, and a self-contained HTML dashboard for portfolio metrics.

Core Features & Use Cases

  • Scans workspaces to detect Claude Code indicators (CLAUDE.md, .claude, MCP) and AI integrations.
  • Generates structured inventories and dashboards to audit Claude Code adoption and AI usage.
  • Exports data to claude-code-projects.json and ai-portfolio data for downstream tooling and reporting.

Quick Start

Scan your workspace directories for Claude Code signals and generate the inventory reports and AI portfolio dashboard.

Frequently Asked Questions about project-inventory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I inventory Claude Code projects across multiple directories?▼

To inventory Claude Code projects, scan designated workspace directories to detect signals like CLAUDE.md and .claude configurations. The tool extracts project metadata including names, paths, URLs, and tech stacks, generating a comprehensive portfolio overview.

What is the best way to generate a dashboard for AI-integrated repositories?▼

Generate a dashboard for AI-integrated repositories by scanning workspaces for AI tools and MCP integrations. This produces a self-contained HTML dashboard displaying portfolio metrics for your Claude Code adoption.

Can I export discovered project metadata to JSON for downstream reporting?▼

Yes, you can export discovered project metadata to JSON. The inventory process outputs a claude-code-projects.json file containing extracted details like name, path, organization, and tech stack for use in downstream tooling and reporting.

Does the project inventory tool work in CI environments?▼

Yes, the project inventory tool works in CI environments. You can apply the scanning process across desktops or CI pipelines to detect Claude Code indicators and generate consistent Markdown, JSON, and HTML dashboard outputs.

How does detecting CLAUDE.md and .claude signals help audit AI usage?▼

Detecting CLAUDE.md and .claude signals helps audit AI usage by identifying which repositories have integrated Claude Code. This consolidates scattered workspace indicators into structured inventories for evaluating AI adoption across your portfolio.

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