Individual skill
licensing-review-batch
Produce structured JSON decisions for state licensing review tasks backed by the shared licensing data service (contractor application batches, restricted liquor license staff packages, and alcohol renewal manual-review queues). Use when a prompt asks you to review licensing records over a network environment and return JSON that must conform to an answer_template.json, especially when the prompt names contractor applications (C-*), liquor applications/locations (L-*/LOC-*), or alcohol licenses (AL-*), and lists /api/... endpoints plus POST /api/sql.
experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_019/fewshot/fewshot_attempt_01/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
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- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 121
- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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- data Derived category
- data-databases Derived category
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SKILL.mdcore · 5,955 bytesreferences/contractor_batch.mddoc · 7,116 bytesreferences/environment.mddoc · 5,291 bytesreferences/liquor_package.mddoc · 5,748 bytesreferences/renewal_queue.mddoc · 4,386 bytesscripts/env_query.shruns · 1,632 bytes
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# Licensing review batch → structured JSON
You are acting as a state licensing examiner. Each task gives you a small set of
target records (application ids, a location, or a license batch), points you at a
shared licensing data service, and requires **JSON only** that conforms to the
task's `input/payloads/answer_template.json`. There is no free-text memo.
The data service is the same across tasks; only the target ids, the review
parameters, and the exact output vocabulary change. Do not guess values — read the
real records and apply the rules below.
## 0. Orient before you compute
1. Read the prompt and extract: the **target ids** (and any location id), the