Individual skill
atlas-commerce-ops-analysis
Use for Atlas Commerce Operations tasks that ask Codex to query the authenticated workplace API, compute cutoff-based operational metrics, apply an explicitly approved canonical correction, and write a strict JSON answer file from a provided request payload and answer template.
experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_022/fewshot/deepagents/fewshot_attempt_02/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Last checked
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- Oct 29, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- benchmark Repository topic
- llm Repository topic
- self-evolving Repository topic
- self-learning Repository topic
- skills Repository topic
- operations Derived category
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SKILL.mdcore · 4,792 bytesSKILL.mdcore · 4,792 bytesSKILL.mdcore · 4,792 bytesSKILL.mdcore · 4,792 bytesSKILL.mdcore · 4,792 bytesSKILL.mdcore · 4,792 bytesSKILL.mdcore · 4,792 bytesSKILL.mdcore · 4,792 bytesSKILL.mdcore · 4,792 bytesSKILL.mdcore · 4,792 bytesSKILL.mdcore · 4,792 bytesreferences/atlas_patterns.mddoc · 8,108 bytesscripts/atlas_api.pyruns · 4,109 bytesscripts/validate_answer.pyruns · 6,054 bytes
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# Atlas Commerce Ops Analysis
## Purpose
Solve Atlas Commerce Operations tasks by turning the prompt, request payload, live schema, and data dictionary into reproducible SQL, then writing exactly the JSON object required by the answer template.
## Standard Workflow
1. Read the task prompt, every file under `input/payloads/`, and especially `answer_template.json`.
2. Fetch the live service metadata before writing metric SQL:
- `GET /api/schema`
- `GET /api/data-dictionary`
3. Treat the request payload as the source of truth for cohort filters, cutoff boundaries, status/risk rules, ordering, rounding, and mutation authorization.
4. Build SQL in small CTEs that make each business definition inspectable. Run diagnostic count queries before the final answer query.