document-python-direct-exec
Use direct Python execution for reliable spreadsheet and document/PDF generation operations
Use direct Python execution for reliable spreadsheet and document/PDF generation operations
Use direct Python execution for reliable spreadsheet and document/PDF generation operations
Use direct Python execution for reliable document creation including spreadsheets, PDFs, and structured reports
Systematic debugging workflow for pandoc PDF conversion errors
Iterative workflow to verify PDF page counts and adjust layout parameters until requirements are met
Verify generated PDF files using PyPDF2 to check page counts and integrity
Verify generated PDFs for integrity and page count using PyPDF2 before task completion.
Verify PDF page counts and file integrity programmatically using PyPDF2 after generation
Retry PDF generation with alternative engines when pandoc fails
Fallback pattern for PDF/document generation when execute_code_sandbox fails with opaque errors
Fallback workflow for document generation when code sandbox returns opaque errors
Systematic fallback workflow for PDF generation through pandoc, reportlab, and fpdf2 with installation verification
Debug Python PDF generation errors by using unbuffered output and stderr inspection to reveal actual tracebacks
Interprets Culture Index (CI) surveys, behavioral profiles, and personality assessment data. Supports individual profile interpretation, team composition analysis (gas/brake/glue), burnout detection, profile comparison, hiring profiles, manager coaching, interview transcript analysis for trait prediction, candidate debrief, onboarding planning, and conflict mediation. Accepts extracted JSON or PDF input via OpenCV extraction script.
AI-driven multi-format SVG content generation system. Converts source documents (PDF/DOCX/URL/Markdown) into high-quality SVG pages and exports to PPTX through multi-role collaboration. Use when user asks to "create PPT", "make presentation", "生成PPT", "做PPT", "制作演示文稿", or mentions "ppt-master".
Analyze sources (blog posts, PDFs, YouTube videos, codebases, pasted text) for agentic patterns, match against 105+ existing patterns, create new patterns or update existing with new sources and insights.
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
Analyzes malicious PDF files using PDFiD, pdf-parser, and peepdf to identify embedded JavaScript, shellcode, exploits, and suspicious objects without opening the document. Determines the attack vector and extracts embedded payloads for further analysis. Activates for requests involving PDF malware analysis, malicious document analysis, PDF exploit investigation, or suspicious attachment triage.