document-extractor-plugin

document extractor plugin

7,385 stars

Best use case

document-extractor-plugin is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

document extractor plugin

Teams using document-extractor-plugin should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/document-extractor-plugin/SKILL.md --create-dirs "https://raw.githubusercontent.com/kreuzberg-dev/kreuzberg/main/.ai-rulez/domains/plugin-system/skills/document-extractor-plugin/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/document-extractor-plugin/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How document-extractor-plugin Compares

Feature / Agentdocument-extractor-pluginStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

document extractor plugin

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

Implement custom document extractors

1. Create struct implementing DocumentExtractor
2. Declare supported MIME types
3. Set priority level (0-255)
4. Implement extract_bytes():
   a. Accept bytes, MIME type, config
   b. Validate input
   c. Apply config options
   d. Perform extraction
   e. Return ExtractionResult
5. Implement extract_file():
   a. Read file to bytes
   b. Call extract_bytes()
6. Handle all error cases
7. Validate result structure
8. Test extraction quality