Pdf Vision Reader
CheckedExtracts text, tables, and images from PDF documents with high accuracy using advanced visual recognition.
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 childbamboo/claude-code-marketplace-sample --skill pdf-vision-reader -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
childbamboo
Taken from the source listing. We haven't verified who controls this account.
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 childbamboo/claude-code-marketplace-sample at 53dc1bcf6a.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 53dc1bcf6a
- Scanned
- 3 files, 639 lines
About this skill
pdf-vision-reader
What it does
This skill enables AI agents to visually interpret and analyze PDF documents, extracting text, charts, and structural data that traditional parsers might miss. It bridges the gap between static file formats and actionable insights for complex document processing tasks.
When to use it
- Analyzing research papers or technical manuals containing dense diagrams and formulas.
- Extracting structured data from invoices, contracts, or reports with non-standard layouts.
- Summarizing long-form documents where visual context is critical to understanding the content.
- Converting scanned PDFs into editable text while preserving original formatting nuances.
Key capabilities
- Visual document analysis beyond simple text extraction.
- Interpretation of charts, graphs, and embedded images within PDFs.
- Handling complex layouts and multi-column structures effectively.
- Context-aware reading that understands relationships between visual elements and text.
Example prompts
- "Extract all key metrics from the financial charts in this quarterly report PDF."
- "Summarize the main arguments of this academic paper, paying special attention to the diagrams on pages 5-7."
- "Convert the data tables in this scanned invoice into a structured JSON format."
Tips & gotchas
Ensure the PDF is not heavily encrypted or password-protected, as visual analysis requires access to the underlying content. For best results, provide context about the document type so the agent can prioritize relevant sections during its visual scan.