Dq — Data skill for Claude Code
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
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
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