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临床病历分析与草稿生成 SOP。用于问诊数据汇总、检查结果解读、 门诊病历结构化草稿（非最终写入）。须配合 request_record_confirm HITL。
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Based on SOC occupation classification
Generates beautiful, consistent Preline Theme CSS files. Agent interprets user request, runs build script, delivers complete CSS.
Extract clinical trial data from pharmaceutical conference websites or PDF documents. Use when user provides a URL or PDF file containing innovative drug clinical trial data and needs structured extraction of: drug name, manufacturer, indication, clinical phase, trial name, conference, efficacy and safety data (presented as tables), and markdown output to "药品名称@适应症.md" file.
Use this skill when a clinician, practice manager, or healthcare developer needs to draft, structure, or retrieve clinical documentation — including SOAP notes, referral letters, prior authorization forms, discharge summaries, and care plan narratives. Connects to FHIR R4-compliant APIs (Epic, Cerner, Azure Health Data Services, HAPI FHIR) to pull structured patient data and generate documentation drafts. Also supports manual input when no EHR connection is available. DO NOT use for direct diagnosis, prescribing decisions, or any task requiring a licensed clinical judgment — this skill assists with documentation only.
Search clinical trial databases similar to ClinicalTrials.gov. Use this skill whenever the user asks about clinical trials, drug trials, indications, targets, drug names, trial phases, NCT IDs, enrollment, or recruitment. Automatically parses natural language questions into structured query parameters and calls the backend API to return matching trial records. Trigger words include: clinical trial, NCT, drug development, indication, target, phase, enrollment, recruitment, sponsor, cohort, arm, endpoint, efficacy, safety data.
Analyze ECG signals via heartvoice (心之声) API — single-lead and 12-lead. Automatically selects endpoint based on user intent and responds in the user's language. Use when user mentions ECG, 心电图, 心电分析, 单导联, 十二导联, 1-lead, 12-lead, heart rhythm, arrhythmia, QRS, QT interval, signal quality, or asks to analyze an ECG JSON file.
醫療文檔處理技能 - 病歷摘要、報告分析、醫學文獻整理。適用於醫生、醫療專業人員。觸發詞：病歷、醫療報告、醫學文獻、clinical notes、medical document、病歷摘要、出院小結、門診記錄。
| name | medical-record-analysis |
| version | 1.0.0 |
| description | 临床病历分析与草稿生成 SOP。用于问诊数据汇总、检查结果解读、 门诊病历结构化草稿（非最终写入）。须配合 request_record_confirm HITL。 |
| tags | ["clinical","medical-record","analysis","docclaw"] |
his_get_labs / his_get_history 返回的数据不适用：诊中实时高质量 Schema 输出 → 提示医生切换 Skill 模式「智能病历助手」。
采集数据
patient_get：患者基本信息、主诉、已完成检查consult_get_messages：本轮问诊对话his_get_labs / his_get_history：检查与既往摘要分析与草稿
missing_fields：仍为「待补充」的字段中文名列表confidence_notes：需医生重点核实的内容HITL 确认（必须）
request_record_confirm(patient_slug, draft_content, structured_data)his_write_record）missing_fields 列出仍为「待补充」的字段中文名confidence_notes 写明需医生重点核实的内容；无则留空request_record_confirm 直接写入正式病历| 工具 | 用途 |
|---|---|
patient_get | 患者档案 |
consult_get_messages | 问诊历史 |
his_get_labs | 已完成检查 |
his_get_history | 既往史摘要 |
request_record_confirm | 病历 HITL |
web_search | 文献/指南检索（辅助解读） |