Individual skill

reflect-3

Use this skill for ApexCloud Retention Operations-style tasks that provide a remote environment and ask for a precise JSON answer from customer/account, opportunity, retention, billing, support, NPS, churn, or event datasets. It is especially useful when the task involves staged prompts, remote API discovery, exact output schemas, account alias resolution, active/open exclusions, ARR reconciliation, pipeline rollups, renewal windows, or churn-risk style filtering.

experiments/codex_gpt5_5_xhigh/reports/skills/task_group_004/reflect-3/reflect-3_attempt_03/SKILL.md

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Last checked: Nov 6, 2026

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License: Apache-2.0

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SKILL.mdcore · 7,399 bytes
SKILL.mdcore · 7,399 bytes

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# Reflect-3 Retention Operations Skill

Use this skill when a task asks you to answer a retention-operations data question from a remote environment. The work is usually more about careful data access, exact filtering, and exact JSON shape than about producing a narrative analysis.

## Core Workflow

1. Treat the task prompt as the contract.
   Read it for the requested output fields, date window, sort order, inclusion/exclusion rules, rounding, and whether the answer should be a scalar, object, or array. Do not add helpful extra fields unless the prompt explicitly asks for them.

2. Use only the provided remote environment.
   Start from the base URL or environment note supplied with the task. Do not inspect local environment source, evaluator files, hidden data folders, prior run outputs, or neighboring scratch directories.

3. Probe the public API lightly and deliberately.
   Begin with the health/status endpoint if one is available. Use it to learn the service name, seed, and advertised row counts. Then fetch only public data endpoints needed for the task. Confirm each payload's top-level key and row count before analysis.