Individual skill
peopleops-reconciliation
Reconcile PeopleOps Console tasks and produce exact JSON answers from provided answer templates for onboarding, leave, payroll, recruitment, approval, notice, and audit/source-precedence cases. Use when a prompt points to a task runner URL or task environment and asks for authoritative records, exclusion lists, normalized enum labels, or final control results.
experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_012/fewshot/cc/fewshot_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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SKILL.mdcore · 2,561 bytesscripts/validate_answer.pyruns · 5,790 bytes
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# PeopleOps Reconciliation
## Procedure
1. Read the prompt, the answer template, and any payload files first. Treat `input/payloads/answer_template.json` as the schema contract for the run.
2. Identify the task family from the template fields and the evidence surfaces named in the prompt.
3. Open the runner URL from the prompt and inspect the live console or its structured data surfaces with the provided credentials.
4. Pull only the records that can decide that family. Prefer structured records over summaries when both exist.
5. Use authoritative sources:
- submitted, approved, accepted, assigned, current-period, and audit-backed records
- treat drafts, stale profile summaries, and message-only hints as secondary unless the template asks for them
6. Separate scope tightly. Include only audit events that directly support the requested decision. Put adjacent or out-of-scope audit IDs in excluded arrays when the template provides them.
7. Assemble one JSON object that matches the template exactly.
8. Validate the draft before answering. Check key names, types, enum labels, and array contents. Use `scripts/validate_answer.py` for a mechanical check when helpful.