rajib2k5

Dq — Data skill for Claude Code

Data community

Hunt silent data failures — grain/fan-out, freshness, reconciliation, absence-vs-zero, broken SCDs.

How to install Dq

Installs to ~/.claude/skills/rajib2k5-claude-staff-kit-dq/SKILL.md

Terminal
mkdir -p ~/.claude/skills/rajib2k5-claude-staff-kit-dq && curl -fsSL https://raw.githubusercontent.com/rajib2k5/claude-staff-kit/HEAD/commands/dq.md -o ~/.claude/skills/rajib2k5-claude-staff-kit-dq/SKILL.md

Restart Claude Code, or start a new session, for it to be picked up.

What Dq does


description: Hunt silent data failures — grain/fan-out, freshness, reconciliation, absence-vs-zero, broken SCDs argument-hint: [table, model, or the number that looks wrong]

Invoke the `data-quality` skill.

Target: $ARGUMENTS

Run all seven checks, in order — starting with the grain check, because fan-out is the most damaging and presents as good news:

`SELECT , COUNT(*) FROM GROUP BY HAVING COUNT(*) > 1` must return zero rows.

Two traps to handle explicitly:

  • **Do not

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Full documentation available on GitHub

View Source Repository