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# Atlas Commerce Operations — Analytical Task Skill

## Purpose
Solve operational analytics and data-correction tasks against the Atlas Commerce Operations database. Each task provides a business-request payload and an answer template; produce a JSON answer conforming exactly to the template.

## Workflow

### Phase 1: Orient
1. **Read the schema** (`GET /api/schema`). Identify all tables that participate in the task. Note primary keys, foreign keys, and check constraints — they encode domain invariants.
2. **Read the data dictionary** (`GET /api/data-dictionary`). Note field-level conventions: timestamp format (ISO-8601 UTC), monetary minor units, boolean encoding (0/1 integers), and dedup indexes.
3. **Read the task prompt** and the **business-request payload**. Extract: cohort/scope rules, date windows, cutoff timestamps, business definitions, rollup instructions, rounding rules, and status-tier conditions.
4. **Read the answer template**. Every `required` field must appear; every `additionalProperties: false` constraint means no extra fields. Match `type`, `enum`, `pattern`, `minimum`/`maximum`, `multipleOf`, and `minItems`/`maxItems` exactly.

### Phase 2: Scope the cohort
- **Production accounts**: `is_internal = 0 AND is_test = 0`.
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