Total 43,459 skills, Document Processing has 625 skills
Showing 12 of 625 skills
Convert markdown to styled HTML for pasting into Google Docs. Use when the user wants to copy markdown (with tables, images, code blocks) into Google Docs or similar.
Researches court documents, indictments, plea agreements, and sentencing records. Use when the album subject involves legal proceedings or criminal cases.
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.
Manipulate PDF documents programmatically. Merge, split, rotate, and watermark PDFs. Extract text and metadata. Handle form filling and encryption/decryption.
Template-based Word document generation using Jinja2 syntax. Create reports, contracts, and documents with loops, conditionals, tables, and mail merge capabilities.
Process PDF files for text extraction, form filling, and document analysis. Use when you need to extract content from PDFs, fill forms, or analyze document structure.
Processes .athenabrief research packages exported from the Athena note-taking app. This skill should be used when the user uploads a .athenabrief file, mentions Athena briefs, research briefings, exported notes, or asks to work with research packages from Athena. Supports zero-instruction processing where the brief itself contains all necessary context. Always packages final results using the athena-package skill.
Guidelines for saving SQL, JSON, and examples to specific folders.
Use this skill when you need to keep a repository's README.md file updated with project metadata, installation instructions, usage examples, and more. It automates synchronization by analyzing codebase patterns and dependencies.
Automated fix skill that reads review reports and applies fixes to SPEC (Specification) documents - handles broken links, YAML structure issues, missing files, and iterative improvement
Automated PRD generation pipeline from BRD documents - analyzes dependencies, validates readiness, generates PRDs, performs final review, and supports parallel execution
Comprehensive content review and quality assurance for EARS documents - validates requirement syntax, PRD alignment, testability, and identifies issues requiring manual attention