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Get a defensible answer out of a dataset — grain and denominators pinned, missing data accounted for, aggregates checked against their segments, and every number reproducible from raw input by a script. Use when asked what a dataset shows, when a number needs explaining or two numbers disagree, or before any finding from data is reported to someone who will act on it. Not for defining product metrics or instrumentation, not for building the pipeline that produced the data, and not for designing an experiment.

Install

npx skills add nahid-sparktales/agent-dispatcher --skill data-analysis -a claude-code

Installs to .claude/skills/data-analysis/ · Each command fetches the skill straight from GitHub with the open skills CLI.

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Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.

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Why 82

Security100
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Maintenance100
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Adoption32

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