Use Case
Stop doing repetitive data & analytics tasks manually. Aloudata CAN SKILLS - analysis-report lets your AI agent handle them automatically through natural conversation. Compile and generate complete data analysis reports. This skill must be used when the user requires a structured analysis report (rather than a single metric query or single point of analysis). This Skill is the orchestration layer - it does not contain analysis logic, but knows "what a good report should contain" and schedules the capability layer Skills (metric-query, anomaly-detection, metric-... This guide shows practical examples of using Aloudata CAN SKILLS - analysis-report to automate common data & analytics workflows and save hours every week.
Install Aloudata CAN SKILLS - analysis-report: npx clawhub@latest --dir ~/.claude/skills install analysis-report
Identify the repetitive data & analytics tasks you want to automate
Describe the task to your AI in plain English
Aloudata CAN SKILLS - analysis-report will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Aloudata CAN SKILLS - analysis-report
Automate my data & analytics tasks using Aloudata CAN SKILLS - analysis-report
What repetitive tasks can Aloudata CAN SKILLS - analysis-report handle for me?
Set up a workflow that runs Aloudata CAN SKILLS - analysis-report every morning
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install analysis-reportOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install analysis-reportβ 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/analysis-report/π‘Extract and place the folder at the path above, then restart your agent.