Total 50,320 skills, Document Processing has 738 skills
Showing 12 of 738 skills
Convert USDM/EARS requirements documents from Markdown to professionally formatted Word (.docx) files for client submission. Generates cover pages, table of contents, headers/footers, and styled requirement hierarchies. Leverages the docx skill for Word file generation. Use when: "export requirements to Word", "requirements to docx", "USDM to Word", "convert requirements document", "要件書をWord出力", "要件定義書のdocx変換", "Word形式で要件書を作成", "要件定義書をWordに変換".
Comprehensive content review and quality assurance for TASKS documents - validates task completeness, SPEC alignment, implementation contracts, and identifies issues requiring manual attention
Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says "archive this". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.
Validate and optimize CLAUDE.md files using Anthropic's best practices for focused sessions. Detects contradictions, redundancy, excessive length (200+ lines), emphasis overuse (2%+ density), broken links, and orphaned sections. Scores health 0-50 points. Suggests safe automated fixes and extraction opportunities. Use when editing CLAUDE.md, before commits, when document grows past 200 lines, user says "optimize CLAUDE.md", "check contradictions", "validate documentation", or during quarterly reviews. Works with project and global CLAUDE.md files (.md extension). Based on Anthropic 2025 context engineering best practices.
Create and maintain an Obsidian-style graph memory bank in a code repository: small atomic Markdown nodes with YAML frontmatter, cross-links, explicit backlinks, and release/entity-driven coverage for fast AI-agent context retrieval. Use when asked to build/upgrade a 'memory bank', 'graph memory', 'obsidian docs', 'суперсвязанную графовую документацию', or when you need structured docs under docs/ that let an AI agent pull minimal but precise context.
Use Document Mind (DocMind) via Node.js SDK to submit document parsing jobs and poll results. Designed for Claude Code/Codex document understanding workflows.
Export Feishu documents or knowledge base documents to Markdown files, or export them to formats such as PDF/Word/Excel (asynchronous tasks). It also supports importing local DOCX/XLSX files into Feishu cloud documents. It is triggered when users request "export document", "convert to Markdown", "save as md", "export PDF", "export Word", "convert docx to Feishu", "import docx". Markdown is stored in the /tmp directory as an intermediate format.
Discover connections between documents, build knowledge networks, and establish bidirectional links across your personal Yuque knowledge base. For personal/individual use — operates on your own docs.
Extract text, tables, and images from PDFs. Use when: extracting data from reports; converting PDF tables to CSV; pulling images from presentations; processing research papers; batch converting PDFs to text
Map allegations to contract language and draft a response letter with no unintended admissions.
Audit and maintain README standards across *-skills repositories with a two-pass workflow (audit first, optional bounded fixes second). Use when running Codex App or CLI automations for skills-repo documentation consistency, profile-aware section schemas, command integrity checks, and discoverability baseline enforcement.
Format citations in APA, MLA, Chicago, IEEE, Harvard styles from structured data, DOI/ISBN lookup, or manual entry. Generate bibliographies with auto-sort.