Warehouse SQL style
SkillDatabases & dataHow to query the shop warehouse (tables, joins, date ranges).
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Warehouse SQL style skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by everruns/everruns in examples/serve/revenue-analyst/agent/skills/sql-style/SKILL.md and read by Ahel’s review.
Tables:
orders(id INTEGER, placed_at TEXT /* YYYY-MM-DD */, amount_cents INTEGER)refunds(order_id INTEGER, refunded_at TEXT, amount_cents INTEGER)
Rules:
- Money is stored in cents. Divide by
100.0only in the final projection. - Net revenue =
SUM(o.amount_cents - COALESCE(r.amount_cents, 0))withLEFT JOIN refunds r ON r.order_id = o.id. - Date ranges are half-open:
placed_at >= :start AND placed_at < :end. - Always filter by date. A query without
WHEREscans every order and needs a person's approval.
Signals
- GitHub stars
- 54
- Forks
- 5
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
sql-style- Source
- github.com/everruns/everruns
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