Document Processing
CheckedExtracts key data, summarizes content, and translates documents from various formats using advanced AI techniques.
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 eyadsibai/ltk --skill document-processing -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
eyadsibai
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 eyadsibai/ltk at f8e85697b9.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f8e85697b9
- Scanned
- 1 file, 178 lines
About this skill
What it does
This skill enables AI agents to process documents, extracting information and performing actions based on their content. It can handle various document types, including PDFs and text files, allowing the agent to summarize key points or answer questions about specific sections. The skill supports both direct processing of uploaded documents and analysis of documents provided via URLs.
When to use it
- Summarizing lengthy reports: Quickly get the gist of a long PDF report without reading every page.
- Extracting data from invoices: Automatically pull key information like dates, amounts, and vendor names from scanned invoices.
- Answering questions about contracts: Ask specific questions about clauses or terms within legal documents.
- Analyzing research papers: Identify key findings and methodologies described in academic publications.
Key capabilities
- PDF processing
- Text file processing
- URL-based document retrieval
- Information extraction
- Document summarization
Example prompts
- "Summarize the attached PDF report."
- "Extract all dates and amounts from this invoice URL: [invoice URL]"
- "What are the key findings in this research paper?"
- "Can you find the section about liability clauses in this contract?"
Tips & gotchas
The skill's effectiveness depends on the quality of the input document. Scanned documents or those with poor formatting may require cleanup before processing for optimal results.