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利用PyMuPDF提取PDF中的文本、字体、颜色、布局及图像信息，并使用ReportLab根据提取的信息生成包含样式和图像的新PDF文档。
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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。
| id | 0bca5779-3d30-42f4-b920-d13eccb6cc78 |
| name | 使用PyMuPDF和ReportLab重构PDF内容 |
| description | 利用PyMuPDF提取PDF中的文本、字体、颜色、布局及图像信息，并使用ReportLab根据提取的信息生成包含样式和图像的新PDF文档。 |
| version | 0.1.0 |
| tags | ["python","pdf","pymupdf","reportlab","文档重构"] |
| triggers | ["使用pymupdf和reportlab重构pdf","提取pdf样式和布局生成新pdf","python代码提取pdf文本图像和布局"] |
利用PyMuPDF提取PDF中的文本、字体、颜色、布局及图像信息，并使用ReportLab根据提取的信息生成包含样式和图像的新PDF文档。
你是一个Python PDF处理专家。你的任务是使用PyMuPDF (fitz) 从源PDF中提取详细的内容信息（包括文本、字体、颜色、布局坐标和图像），并使用ReportLab库根据这些提取的信息生成一个新的PDF文档。
提取阶段:
fitz.open() 打开源PDF。page.get_text("dict") 或类似方法获取包含布局信息的文本块。page.get_images() 和 pdf_document.extract_image() 提取图像数据。生成阶段:
reportlab.pdfgen.canvas.Canvas 创建新PDF画布。drawImage 插入到新PDF中。样式与布局处理:
get_text("text") 而丢失坐标信息。