powerdrill-data-analysis-skill
This skill should be used when the user wants to analyze, explore, visualize, or query data using Powerdrill.
Setup & Installation
Install command
clawhub install javainthinking/powerdrill-data-analysis-skillIf the CLI is not installed:
Install command
npx clawhub@latest install javainthinking/powerdrill-data-analysis-skillOr install with OpenClaw CLI:
Install command
openclaw skills install javainthinking/powerdrill-data-analysis-skillor paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/javainthinking/powerdrill-data-analysis-skillWhat This Skill Does
Connects to the Powerdrill API to manage datasets, upload files, run natural-language queries, and retrieve charts and tables as output. Uses a Python client script that wraps the Powerdrill REST API v2. Supports full analysis sessions with conversational follow-up.
Natural-language querying removes the need to write SQL or Python data analysis code for exploratory data tasks.
When to Use It
- Uploading a CSV and asking questions about sales trends
- Finding top-performing products across quarterly data
- Visualizing regional breakdowns from uploaded spreadsheets
- Resuming a previous analysis session to ask follow-up questions
- Cleaning up datasets and sessions after a one-off analysis
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Uploading a CSV and asking questions about sales trends
- 1Uploading a CSV and asking questions about sales trends
- 2Finding top-performing products across quarterly data
- 3Visualizing regional breakdowns from uploaded spreadsheets
- 4Resuming a previous analysis session to ask follow-up questions
- 5Cleaning up datasets and sessions after a one-off analysis
This skill should be used when the user wants to analyze, explore, visualize, or query data using Powerdrill.
Security Audits
These signals reflect official OpenClaw status values. A Suspicious status means the skill should be used with extra caution.
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