Extracts structured data, insights, and summaries from PDF documents using advanced AI understanding.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add anthropics/claude-agent-sdk-demos --skill pdf -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
anthropics
Matched to the vendor's own GitHub organisation.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned anthropics/claude-agent-sdk-demos at 826b268506.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 826b268506
- Scanned
- 12 files, 1,426 lines
About this skill
What it does
This skill allows AI agents to process and extract information from PDF documents. It can read text, understand document structure, and potentially answer questions based on the content within a provided PDF file. The agent can then utilize this extracted data for various tasks like summarization or analysis.
When to use it
- Summarizing research papers: Quickly get the key findings from lengthy academic documents.
- Extracting data from invoices: Automatically pull relevant information (dates, amounts, etc.) from PDF invoices.
- Analyzing contracts: Understand the terms and conditions outlined in legal agreements stored as PDFs.
- Answering questions about reports: Allow users to ask specific questions about a detailed report contained within a PDF.
Key capabilities
- PDF reading
- Text extraction
- Document structure understanding (implied)
- Question answering (based on content)
Example prompts
- "Read the attached PDF and summarize the main points."
- "Extract all dates mentioned in this PDF file."
- “What are the key risks outlined in the attached contract?”
Tips & gotchas
- The quality of extracted information depends heavily on the clarity and structure of the original PDF. Scanned documents with poor image quality may yield inaccurate results.