Individual skill

atlas-ops-scoring

Analytical scoring and data correction for the Atlas Commerce Operations database through an authenticated REST API. Use when a task asks to compute production-shipping scorecards, refund-settlement reconciliations, carrier quality corrections, warehouse productivity reviews, or enterprise support health reports against Atlas records. Covers both read-only SQL analytics (cutoff-based eligibility, tiered classification, ranking, breach detection, leakage candidate identification) and single-field transactional corrections with audit verification. Trigger when the workspace mentions Atlas Commerce Operations, an atlas-ops API, cutoff-based business metrics, or any of the five named review types.

experiments/codex_skill_creator_comparison_deepseek_v4_pro_max/reports/skills/task_group_022/fewshot/deepagents/fewshot_attempt_03/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

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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 · 7,413 bytes
references/api_endpoints.mddoc · 1,543 bytes
references/sql_patterns.mddoc · 3,722 bytes
references/transaction_protocol.mddoc · 1,997 bytes

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# Atlas Ops Scoring

## Overview

This skill is the reusable toolkit for analytical review tasks and controlled
data corrections against the Atlas Commerce Operations database. It assumes a
task-specific request payload, a JSON answer template, and a running task
environment that exposes the Atlas API. The skill provides the correct workflow,
endpoint details, SQL patterns, and correction protocol — it does not contain
task-specific threshold values or final answer records.

Every task begins the same way: discover the schema, read the data dictionary,
map the request payload's business definitions to columns, query, compute, and
write the result exactly to the answer template.