Individual skill
atlas-ops-request-analysis
Analyze Atlas Commerce Operations workplace requests and produce exact JSON answers from prompt, request payload, schema, data dictionary, SQL query endpoints, and optional controlled correction endpoints. Use when a task asks Codex to compute operational scorecards, reconciliations, SLA/health reviews, cutoff-based state, ranked exceptions, or apply an approved minimal canonical data correction with audit evidence against the Atlas workplace service.
experiments/codex_gpt5_5_xhigh/reports/skills/task_group_022/self/self_attempt_03/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Last checked
- Nov 6, 2026
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- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
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- llm Repository topic
- self-evolving Repository topic
- self-learning Repository topic
- skills Repository topic
- data Derived category
- operations Derived category
- security Derived category
- data-databases Derived category
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# Atlas Ops Request Analysis
Use this skill for Atlas Commerce Operations tasks that provide a prompt, one or more request payloads, an answer template, and an authenticated workplace service. Produce the requested `answer.json` exactly; include no narrative in the answer file.
## Required Inputs
1. Read the task prompt first.
2. Read every file under `input/payloads/`, including the business request payload and `answer_template.json`.
3. Read `environment_access.md` only to obtain the allowed base URL, endpoints, headers, and transaction limits.
4. Treat all request timestamps as exact UTC business cutoffs or windows. Do not substitute the current date.
5. Use the answer template as the output contract, even when it uses nonstandard schema spellings such as `additional_properties`, `min_items`, or `decimal_places`.
## Service Access
