Individual skill
licensing-review-json
Use when producing strict JSON decisions, staff packages, or manual-review queues from a licensing data environment for contractor, restricted liquor, or alcohol-renewal review tasks.
experiments/codex_gpt5_5_xhigh/reports/skills/task_group_019/fewshot/fewshot_attempt_03/SKILL.md
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- Apache-2.0
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# Licensing Review JSON
Use this skill for licensing tasks that provide a base URL, REST endpoints or SQL access, and an `input/payloads/answer_template.json` schema. The job is to derive structured review results from the data service and return only the JSON object required by the template.
## Core Workflow
1. Read the user prompt and the answer template before querying data. Extract target IDs, review date or boundary date, queue size, required top-level keys, allowed enum codes, and ordering rules.
2. Resolve `<TASK_ENV_BASE_URL>` only from the environment access instructions provided with the task. If SQL is allowed, include the required token/header from those instructions.
3. Fetch `/api/policies` and the task's listed business endpoints. Prefer SQL for complete target-specific record pulls when it is available, because public GET lists may be capped or ordered so target records are missing.
4. Parse embedded JSON fields such as `details_json` and `controls_json`.
5. Build an intermediate worksheet keyed by the stable target ID. Keep notes internally, but the final response must be only JSON matching the template. Never include markdown, citations, comments, or extra keys.
6. Normalize output to the template: use only allowed enum values, empty arrays when no values apply, de-duplicate arrays, and apply every ordering rule exactly.
## SQL Patterns