Anthropic Document Skills (PDF, DOCX, PPTX, XLSX)
Anthropic's official Claude Skills for working with document formats — fill, merge, and extract data from PDFs, Word files, PowerPoint decks, and Excel spreadsheets inside agent workflows.
01 // How It Works
Each skill is a folder of instructions plus Python scripts that Claude loads on demand. When a task touches a document format, the agent pulls in the skill's instructions and invokes its scripts to parse or produce files, keeping heavy parsing out of the context window.
02 // Setup Guide
- 1
Install the Claude Code CLI or use Claude Desktop with skills enabled
- 2
Copy the document-skills folder into your project's .claude/skills/ directory
- 3
Ensure Python 3.10+ with the skill's requirements (pip install -r requirements.txt) is available
- 4
Ask Claude to process a document (e.g. 'extract all invoices from this PDF folder')
Related Skills
Graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Claude Mem
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More.
Related Projects
AI System Architect Advisor with R1
An Agno agentic system that provides expert software architecture analysis and recommendations using a dual-model approach combining DeepSeek R1's Reasoning and Claude. The system provides detailed technical analysis, implementation...
Advanced AI AgentsDevPulseAI Multi-Agent Signal Intelligence
A reference implementation demonstrating how to build a multi-agent pipeline that aggregates technical signals from multiple sources, scores them for relevance, assesses risks, and synthesizes an actionable intelligence digest.
Advanced AI AgentsSelf-Evolving AI Agent
A multi-agent app built on EvoAgentX that turns a single natural-language goal into a working program. It automatically generates a.