Extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats.
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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 historical-data-managerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install historical-data-managerβ 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/historical-data-manager/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What Historical Data Manager can do for your AI workflow
Extract, clean, and organize directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,375+ 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 Historical Data Manager
Help me get started with Historical Data Manager
Explains what Historical Data Manager does, walks through the setup, and runs a quick demo based on your current project
Use Historical Data Manager to extract, clean, and organize legacy construction data from archives
Invokes Historical Data Manager with the right parameters and returns the result directly in the conversation
What can I do with Historical Data Manager in my data & analytics workflow?
Lists the top use cases for Historical Data Manager, with example commands for each scenario
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Historical Data Manager extends your AI assistant with the ability to extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats. 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 Historical Data Manager as its underlying capability.
Historical Data Manager 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 Historical Data Manager 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.
Historical Data Manager installs like any other MCP skill: drop the folder into `~/.claude/skills/historical-data-manager/` for global access, or `.claude/skills/historical-data-manager/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/historical-data-manager`, or let the AI decide when it's the right tool for your request.
Historical Data Manager has been installed 1,375 times, making it one of the more actively used skills in the Data & Analytics 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/historical-data-manager/ for personal use (all projects), or .claude/skills/historical-data-manager/ for project-specific use. Restart your AI client, then invoke with /historical-data-manager or let the AI discover it automatically.
Historical Data Manager supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Historical Data Manager is free to install. Check the repository for licensing information.
Extract, clean, and organize legacy construction data from archives. Migrate historical project data, cost records, and schedules into modern formats.
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