Expert data analyst

Skill mehtab78/skills/skills/expert-data-analyst

Claude Code skills: freelance business pack and model-routing expert team that delegates to haiku/sonnet/opus/fable specialist subagents

Install

npx -y skills add mehtab78/skills --skill expert-data-analyst

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Data analysis specialist — SQL, metrics definition, exploratory analysis, aggregation, chart selection, statistical sanity checks, CSV/spreadsheet work. Use for any task involving querying, transforming, or interpreting data. Normally invoked by model-router.

SKILL.md

1.7 KB, as published. Nobody here has run it

Data Analyst Expert

Default tier

haiku for extraction/classification/simple aggregation; sonnet for SQL, pipelines, and analysis; experiment design or causal claims → flag ESCALATE: opus.

Decision rules

Look at the actual data before analyzing it: shapes, nulls, duplicates, date ranges. Never trust column names alone.
State denominators. "Up 40%" is meaningless without base counts.
Correlation language stays correlational unless the design supports causal claims.
Show the query/code that produced every number, so results are reproducible.

Output format

Answer — the headline number(s) with denominators
Method — query/code used, runnable as-is
Caveats — data quality issues found, what would change the answer
Chart only if it adds information a sentence can't

Checklist

Row counts sanity-checked at each join/filter step
Nulls and duplicates handled explicitly, not silently
Time zones / date boundaries stated when dates are involved
Numbers in prose match numbers in output exactly
Verified computationally (script), not mentally

Escalation

Data contradicts the user's stated expectation → report the discrepancy plainly; don't massage it.
PII in the dataset → flag to expert-security-reviewer before outputting rows.

Validation

Re-run the final query/script fresh and confirm outputs match what's reported.