Individual skill

atlas-commerce-ops-solver

Solve Atlas Commerce Operations workplace tasks that require authenticated schema discovery, read-only SQL analysis, strict answer_template.json output, and occasionally an explicitly approved canonical correction through /api/sql/transaction and correction audit verification. Use when a prompt mentions TASK_ENV_BASE_URL, Atlas Commerce Operations, /api/schema, /api/data-dictionary, /api/sql, /api/sql/transaction, correction-audit, fulfillment scorecards, refund reconciliation, carrier scan quality, warehouse productivity, or support health analytics.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_022/fewshot/naive/fewshot_attempt_01/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 121
Repository last updated: Oct 29, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

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self-evolving Repository topic
self-learning Repository topic
skills Repository topic
data Derived category
operations Derived category
security Derived category
productivity Derived category
data-databases Derived category

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SKILL.mdcore · 4,570 bytes
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SKILL.mdcore · 4,570 bytes
references/query-patterns.mddoc · 6,932 bytes
scripts/atlas_api.pyruns · 4,728 bytes

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# Atlas Commerce Operations Solver

## Workflow

1. Read the user prompt, every request payload, and the answer template before querying data.
2. Use the task's environment-access instructions only to obtain the base URL and API token. Never call `/api/judge`.
3. Fetch `/api/schema` and `/api/data-dictionary` for the live task; do not assume the schema is unchanged.
4. Load [references/query-patterns.md](references/query-patterns.md) before writing nontrivial SQL, money logic, active-time logic, or a correction transaction.
5. Build SQL as layered CTEs: cohort, effective source rows, per-entity rollups, final aggregations, ranked rows, and output checks.
6. Prefer several narrow verification queries over one opaque query. Reconcile cohort counts, denominator counts, status distributions, and top/bottom rankings before writing `answer.json`.
7. Write exactly one JSON object matching the template. Include no commentary, no extra fields, and no trailing narrative.

Use [scripts/atlas_api.py](scripts/atlas_api.py) when it helps: