Individual skill

clinic-decision-support

Structured clinical decision-support for a synthetic clinic FHIR-like REST API. Use when the task prompt references a synthetic clinic case ID, a task environment base URL, and an answer_template.json payload — typically for protocol-bound assessments involving respiratory, head-injury, potassium replacement, care-management routing, or observation-window retrieval tasks.

experiments/codex_skill_creator_comparison_deepseek_v4_pro_max/reports/skills/task_group_016/fewshot/codex/fewshot_attempt_03/SKILL.md

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Repository stars (not skill ratings): 121
Repository last updated: Oct 29, 2026
License: Apache-2.0

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SKILL.mdcore · 3,820 bytes
SKILL.mdcore · 3,820 bytes
agents/openai.yamlasset · 252 bytes
references/api_reference.mddoc · 2,745 bytes
references/task_patterns.mddoc · 3,049 bytes
scripts/fetch_case.pyruns · 1,427 bytes

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# Clinic Decision Support

## Workflow

Every task follows a single general workflow:

1. **Parse the prompt** for the target `case_id` and `task_id`.
2. **Read `input/payloads/answer_template.json`** to understand the exact output
   schema, required keys, enum values, and safety-check fields.
3. **Read `environment_access.md`** for the `<TASK_ENV_BASE_URL>` and allowed
   endpoint list. Use the base URL and endpoint names verbatim.
4. **Fetch the case**: `GET /api/cases/{case_id}` and extract the linked
   `patient_id` (may be a direct field or nested under `subject.reference`).
5. **Fetch the patient**: `GET /api/patients/{patient_id}`.