Individual skill

fleet-data-quality-reconciliation

Solve "Asteria Fleet Data Quality Hub" reconciliation, cleanup, and certification tasks. Use when a task gives a prompt plus payloads/case_scope.json and payloads/answer_template.json and asks you to reconcile overlapping source snapshots for a collection (contacts / fuel / freight / maintenance) as of a business cutoff and emit one JSON object matching the answer contract (quality counts, duplicate/quarantine sets, normalized totals, focus rollups, rankings, opaque control codes, and a certification/close decision). Runtime connection details come from the task's own environment_access.md.

experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_021/reflect-3/reflect-3_attempt_02/SKILL.md

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Oct 29, 2026
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Apache-2.0

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# Fleet Data Quality Hub — reconciliation & certification

You are auditing one **collection** of raw records that arrives as several
overlapping **source snapshots** and must produce a single JSON object that
reconciles them, computes integrity metrics, and states a release decision.
Every task in this family follows the same shape; only the domain differs.

## 0. Read the three contracts first, then act

1. `prompt.txt` — narrative; tells you the domain and any special counting rules.
2. `payloads/case_scope.json` — the machine-readable scope: collection id,
   business cutoff, focus items, ranking limits, status thresholds / gates,
   status→action map, and the lists of ids whose control codes you must return.
3. `payloads/answer_template.json` — the **binding output schema**. Treat it as
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