Stats
Actions
Tags
From Data Scientist
Run an end-to-end data-scientist analysis on a dataset — intake, readiness, plan, execution, and evidence-backed report
How this command is triggered — by the user, by Claude, or both
Slash command
/data-scientist:ds-analyze dataset path or goalThe summary Claude sees in its command listing — used to decide when to auto-load this command
# Analyze Dataset Use the `data-scientist` skill to run a full analysis workflow on the user's dataset. ## Required Behavior 1. Identify the dataset source and user goal. 2. Load `skills/analysis-workflow/SKILL.md` and follow its workflow. 3. Start with intake and readiness; do not jump directly to modeling or hypothesis tests. 4. Ask no more than 5 human questions. Ask only when the answer materially changes the analysis. 5. Produce an analysis plan before executing non-trivial analysis code. 6. Separate reliable conclusions from directional signals and unsupported findings. ## Expecte...
Use the data-scientist skill to run a full analysis workflow on the user's dataset.
skills/analysis-workflow/SKILL.md and follow its workflow.If the data cannot support the requested analysis, stop and produce a concrete data request instead of fabricating a report.
npx claudepluginhub realnghon/data-scientist --plugin data-scientist