Comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install data-source-auditOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install data-source-auditβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/data-source-audit/π‘Extract and place the folder at the path above, then restart your agent.
Category
πProduct ManagerPlatforms
What Data Source Audit can do for your AI workflow
Comprehensive audit of all directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,847+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Data Source Audit
Help me get started with Data Source Audit
Explains what Data Source Audit does, walks through the setup, and runs a quick demo based on your current project
Use Data Source Audit to comprehensive audit of all construction data sources and systems
Invokes Data Source Audit with the right parameters and returns the result directly in the conversation
What can I do with Data Source Audit in my product manager workflow?
Lists the top use cases for Data Source Audit, with example commands for each scenario
Guides & tutorials for AI skills
Data Source Audit extends your AI assistant with the ability to comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Data Source Audit as its underlying capability.
Data Source Audit works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Data Source Audit once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Data Source Audit installs like any other MCP skill: drop the folder into `~/.claude/skills/data-source-audit/` for global access, or `.claude/skills/data-source-audit/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/data-source-audit`, or let the AI decide when it's the right tool for your request.
Data Source Audit has been installed 1,847 times, making it one of the more actively used skills in the Product Manager category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/data-source-audit/ for personal use (all projects), or .claude/skills/data-source-audit/ for project-specific use. Restart your AI client, then invoke with /data-source-audit or let the AI discover it automatically.
Data Source Audit supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Data Source Audit is free to install. Check the repository for licensing information.
Comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap.
Automate my product manager tasks using Data Source Audit
Identifies repetitive steps in your workflow and sets up Data Source Audit to handle them automatically
MCP vs traditional plugins: what's the difference?
Data Source Audit is categorized under Product Manager. These skills help AI agents perform specialized tasks in this domain.