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experiments/claude_code_deepseek_v4_pro_max/reports/skills/task_group_013/self/self_attempt_02/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Matches the observed repository HEAD
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- No
- Repository scan complete
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- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
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- 121
- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- benchmark Repository topic
- llm Repository topic
- self-evolving Repository topic
- self-learning Repository topic
- skills Repository topic
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# Cedar Ridge Intake Coordination — Agent Operating Procedure
## Purpose
This skill covers the reusable workflow for completing Cedar Ridge healthcare intake coordination tasks. Each task instance provides a natural-language prompt, an answer template JSON schema, and optionally additional input payloads. The agent queries a REST + SQL API to gather records, reconciles data across endpoints, applies business rules encoded in the template's controlled vocabularies, and returns a single JSON object conforming exactly to the template.
Do **not** hard-code task-specific values (roster IDs, batch IDs, patient lists, program codes, dates). Read them from the prompt and template. All tasks follow the same skeleton; this document describes the skeleton.
---
## Phase 1 — Orient
### 1.1 Read the environment manifest
Read `environment_access.md` (project root, or at the path noted in the prompt). It supplies: