Total 44,046 skills, Document Processing has 629 skills
Showing 12 of 629 skills
PDF 文档离线读写与表单处理：提取文本/表格、合并拆分、生成 PDF、填写表单。适用于“本地处理/读取/生成 PDF 文件”（依赖安装可能需要网络）。
Systematically fix linting issues in markdown files using markdownlint-cli2. This skill should be used when needing to scan, diagnose, and fix markdown formatting issues in projects with one or more .md files, with special attention to ordered list numbering (MD029) errors.
Extract requirements from existing documents including PDFs, Word docs, meeting transcripts, specifications, and web content. Identifies requirement candidates, categorizes them, and outputs in pre-canonical format.
HTML 2 PDF integration. Manage Documents, Templates. Use when the user wants to interact with HTML 2 PDF data.
Unified skill that guides spec creation through structured, interactive process.
Publisher role. Exports deck to PDF or PPTX with post-export QA. Use whenever the user says "export", "to PDF", "to PPTX", "PowerPoint", "print", "download", "save as PDF", "convert", or wants to convert a finished deck to PDF or PPTX.
Comprehensive PDF Operation Tool: Extraction, Merging, Annotation, Form Processing
Splits large markdown documents into smaller, organized files based on level 2 (default) sections. Use if the user says perform shard document
Format tender/bidding document covers from Markdown to HTML-styled Markdown. Use when converting Chinese document covers (招标文件/投标文件/报价文件/商务文件/技术文件/技术协议/采购文件) to formatted output with Chinese fonts (黑体/宋体), pt-based spacing, center alignment, and proper layout for A4 printing.
Convert EPUB books to high-quality formatted Markdown using pandoc and AI-assisted formatting. Use when the user provides an EPUB file path and wants to convert it to professionally formatted Markdown, similar to the Clean Code Collection formatting. This skill handles the complete workflow from EPUB extraction through AI-driven content formatting, including fixing PDF conversion artifacts, joining split paragraphs, correcting code blocks, standardizing headers, and creating proper Table of Contents.
Detect and flag AI-generated content markers in documentation and prose. Use when reviewing documentation for AI markers, cleaning up LLM-generated content, or auditing prose quality. Do not use when generating new content (use doc-generator) or learning writing styles (use style-learner).
Scan and normalize existing intent/planning files to IDD standard. Auto-fixes mechanical issues (frontmatter, directory structure), tags content issues for pickup. Use /intent-normalize to scan current project, or /intent-normalize <path> for specific directory.