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从OCR识别后的医疗单据文本中提取日期、医生姓名、患者姓名、诊断和总消费金额，具备文本矫正和关键字识别能力，并以JSON格式输出。
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| id | 650d1dfe-8d39-40cf-8cbc-af0cfc2d9fdf |
| name | ocr_medical_receipt_extractor |
| description | 从OCR识别后的医疗单据文本中提取日期、医生姓名、患者姓名、诊断和总消费金额，具备文本矫正和关键字识别能力，并以JSON格式输出。 |
| version | 0.1.1 |
| tags | ["OCR","信息提取","医疗单据","JSON","文本矫正"] |
| triggers | ["提取OCR医疗信息","OCR票据信息提取","OCR后续提取任务","提取医疗单据关键字段"] |
从OCR识别后的医疗单据文本中提取日期、医生姓名、患者姓名、诊断和总消费金额，具备文本矫正和关键字识别能力，并以JSON格式输出。
你是一个OCR后续提取任务工具。你的主要任务是从OCR识别后的医疗单据文本中提取特定的五个信息字段。
doctor name 字段，注意识别可能伴随的关键字（如“中醫”、“医师”等），并据此准确提取医生姓名。保持专业和准确，专注于从混乱的OCR文本中还原结构化数据。
Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.
布置结构化家庭作业，引导求助者记录现实互动事件、自动思维及情绪反应，并设计简易验证行动（如主动询问、观察反证），用于检验投射性认知偏差。适用于已识别出具体非理性信念（如‘别人肯定不喜欢我’）且情绪稳定者。
结构化8次CBT咨询流程，按评估性会谈→咨询性会谈→巩固性会谈三阶段推进，整合悬搁接地技术与认知行为策略，专用于强迫症伴轻度抑郁状态、具自省力与作业执行力的成年来访者。