Individual skill
atlas-ops
Operational analytics, metric computation, and controlled data corrections against an Atlas Commerce Operations database. Use when Codex needs to query a live Atlas schema, compute business scorecards (fulfillment rates, refund reconciliation, warehouse productivity, carrier quality, support health), execute controlled canonical-field corrections with audit records, or reason over an Atlas data dictionary to derive operational metrics from SQL results. The database is accessed through authenticated HTTP endpoints (schema, data dictionary, read-only SQL, transactional SQL, correction audit).
experiments/codex_skill_creator_comparison_deepseek_v4_pro_max/reports/skills/task_group_022/fewshot/codex/fewshot_attempt_03/SKILL.md
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- Oct 29, 2026
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- 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
- data Derived category
- operations Derived category
- security Derived category
- productivity Derived category
- data-databases Derived category
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SKILL.mdcore · 8,668 bytesagents/openai.yamlasset · 257 bytesreferences/data-conventions.mddoc · 4,007 bytesreferences/patterns.mddoc · 10,356 bytesreferences/schema.mddoc · 15,777 bytes
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# Atlas Ops
Analyze operational data and apply controlled corrections in an Atlas Commerce Operations database. The database is accessed through a set of authenticated HTTP endpoints with a bearer token.
## Endpoints
All requests use this authorization header:
```
[Credential-related source omitted]
```
| Method | Path | Purpose |
|--------|------|---------|