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experiments/claude_code_deepseek_v4_pro_max/reports/skills/task_group_016/self/self_attempt_02/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Matches the observed repository HEAD
- Yes
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- No
- Repository scan complete
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- Yes
- Observed behavior
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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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- 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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# Synthetic Clinic Clinical Decision-Support Skill
## Purpose
This skill guides an agent through completing a structured clinical decision-support task against a synthetic clinic FHIR-like REST API. The agent reads a task prompt, retrieves structured clinic data from the runtime environment, and returns a single JSON object conforming to the provided answer template.
## When to Use
Invoke this skill when:
- A task directory under `train_tasks/train_NNN/input/` contains `prompt.txt` and `payloads/answer_template.json`.
- A file named `environment_access.md` is present at the workspace root providing the runtime base URL, credentials, and allowed endpoints.
## Step-by-Step Procedure
### Step 1 — Discover the Inputs