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Generate DOCX, PDF, and HTML documents from Markdown, with alternative PDF tools to try when conversion fails. The workflow includes character replacement, separate conversion steps, and checks for missing, empty, or invalid output files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exporting Markdown to DOCX, PDF, and HTML
• Recovering from PDF conversion failures
• Handling special characters during PDF generation

Generate Word, PDF, and HTML documents from Markdown through visible conversion steps. Check available tools, handle special characters according to the output format, switch to alternative converters when needed, and verify the resulting files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exporting one document to Word, PDF, and HTML
• Recovering from PDF encoding errors
• Generating PDFs when LaTeX or pandoc is unavailable

Recover document generation tasks by separating Markdown content creation, format conversion, and output checks. Uses pandoc to produce Word, PDF, or HTML files, making it easier to identify which conversion step failed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recover document generation after an unclear shell_agent error
• Create Word and PDF files from the same Markdown source
• Convert Markdown into HTML with a custom template

Create Word, PDF, and HTML documents from Markdown, choosing pandoc or ReportLab to suit formatting and layout needs. The workflow covers character handling, output checks, and an alternative generation method when PDF conversion fails.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Export a Markdown report to Word, PDF, and HTML
• Create PDFs containing multilingual text and symbols
• Generate PDFs without LaTeX

Extract plain text from Word DOCX files using shell commands first, then switch to Python's built-in ZIP reader if extraction fails or returns nothing. Supports text output without requiring the external python-docx package.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting Word text without python-docx
• Retrying DOCX extraction after empty shell output
• Saving DOCX text to a separate file

Extract text from Word DOCX files with shell commands when python-docx is unavailable. The workflow reads the document’s XML content, removes tags, optionally cleans whitespace, and saves plain text for inspection or further use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading DOCX files without python-docx
• Saving Word document text to a text file
• Extracting text where extra packages cannot be installed

Recover from PDF and DOCX generation errors by checking the workspace, capturing error details, and trying alternative conversion engines or Python libraries. Verify that the resulting files exist and can be read.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recovering from PDF conversion errors
• Creating reports in DOCX and PDF
• Investigating garbled symbols in PDFs

Generate Word, PDF, and HTML documents from Markdown while diagnosing conversion failures. The workflow checks required tools, replaces problematic characters for PDF, tries alternative conversion engines, and verifies the resulting files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Diagnosing PDF encoding errors
• Exporting a report to Word, PDF, and HTML
• Investigating unclear document conversion failures

Generate DOCX, PDF, and HTML from Markdown through separate, observable conversion steps. The workflow replaces problematic characters for PDF output, captures error messages, and switches PDF engines when needed to troubleshoot document generation failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Export one Markdown document to DOCX, PDF, and HTML
• Investigate unclear document conversion errors
• Replace special characters before PDF conversion

Extract text, tables, and headings from Word documents when standard file reading tools fail. The workflow uses Python and python-docx through run_shell to recover document content for further review or analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading Word documents after file tool failures
• Extracting table contents from Word documents
• Listing headings or numbered paragraphs

Generate Word, PDF, and HTML documents from one Markdown source. The workflow checks available tools, replaces problematic characters for PDF conversion, tries alternative conversion engines when needed, and checks that output files were created.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Exporting one report as Word, PDF, and HTML
• Handling PDF conversion errors caused by special characters
• Generating PDFs without pandoc or LaTeX

Extract text from Word DOCX files with unzip and sed, command-line utilities, when Python document libraries are unavailable. Read the document’s main text, remove XML tags, clean whitespace, and save the extracted content.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reading Word text without installing Python libraries
• Extracting DOCX text in containers or minimal environments
• Saving document text to a TXT file

Convert Markdown into Word, PDF, and HTML using a workflow suited to the document. Simple files use direct delegation, while documents with special characters use separate conversion steps, character replacement, and output checks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a simple Word document from meeting notes
• Exporting one document to several formats
• Converting documents containing special characters to PDF

Produce Word, PDF, and HTML documents when retrieval or conversion tools fail. The workflow switches to available knowledge with stated limitations, prepares characters for PDF conversion, tries alternative tools, and checks the resulting files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a report when search or file reading fails
• Producing Word, PDF, and HTML from one source
• Trying alternative tools after PDF conversion failures

Organize red team exercises that simulate adversaries to assess an organization's detection and response. Covers engagement rules, infrastructure, operational controls, evidence handling, and reports that help security teams review gaps and prioritize improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Defining red team objectives and engagement rules
• Designing an exercise that assumes an existing breach
• Organizing evidence and activity logs

Draft or review formal investment memos for listed stocks. Organize evidence, valuation, downside scenarios, and conditions for revisiting a recommendation into documents suited to investment committees, portfolio managers, clients, or research teams.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing an investment committee memo
• Combining earnings and valuation analysis into a memo
• Reviewing evidence and downside risks in an existing memo

Find, organize, share, copy, and export Google Drive files through one plugin. For document, spreadsheet, and presentation work, it identifies the target file and routes summaries or edits to the appropriate specialized skill.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find a document and update its contents
• Move files into the right folders
• Compare a file with its previous revision

Create, edit, and analyze Word documents while preserving formatting. Work with tracked changes and comments, extract document text, and convert pages to images for visual review, with workflows tailored to new documents and existing files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a new Word document
• Revise business documents with tracked changes
• Add review comments to a document

Bring articles, YouTube videos, documents, and other sources into NotebookLM to create audio, slides, reports, and study materials. It also supports deeper analysis through a series of questions, with optional export to 飞书 documents.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn an article into audio for commuting
• Create slides from articles, videos, and PDFs
• Generate quizzes and flashcards for review

Extract text and tables from Word documents, inspect highlights, cell backgrounds, and font sizes, and aggregate information across files. Embedded images can also be extracted and passed to a separate captioning script for descriptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extracting Word text and tables in document order
• Locating highlighted passages and colored cells
• Gathering information across multiple Word files

Extract and analyze text, tables, numbers, and charts from Word, PDF, and PowerPoint documents. Process complete files or document collections, aggregate findings, and verify counts, calculations, and units before presenting answers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Extract tables and numbers from reports
• Compare and summarize multiple documents
• Read scanned PDFs and image-only slides

Evaluate Agent Skill design quality against official specifications and best practices. Use when reviewing, auditing, or improving SKILL.md files and skill packages. Provides multi-dimensional scoring and actionable improvement suggestions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Client-facing red-team deliverable format — codifies the Subject / Observations / Description / Impact / Recommendation / PoC structure used for external red-team engagements (not bug-bounty platform reports). Different audience, different tone, different cadence. Built from an authorized engagement deliverable where 14 findings were packaged into a 52KB MD + 2.2MB DOCX with 16 embedded screenshots. Use when the engagement is "external red team for an enterprise client" (not H1/Bugcrowd/Intigriti), when generating the final report, when the client has specified a custom report format, or when packaging findings into DOCX/PDF.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Hunting skill for xxe vulnerabilities. Built from 10 public bug bounty reports including SVG-upload XXE, Office-doc (PPTX/DOCX) XXE, SOAP XXE, SAML AssertionConsumer XXE, blind OOB XXE via DTD callback, parameter-entity XXE, XXE-to-LFI, XXE-to-SSRF, and XXE-to-RCE chains (Adobe Commerce CosmicSting CVE-2024-34102). Use when hunting XXE on any target — emphasis on OOB-Or-It-Didn't-Happen Gate for blind cases.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.