extraction-quality-testing

extraction quality testing

7,385 stars

Best use case

extraction-quality-testing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

extraction quality testing

Teams using extraction-quality-testing 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/extraction-quality-testing/SKILL.md --create-dirs "https://raw.githubusercontent.com/kreuzberg-dev/kreuzberg/main/.ai-rulez/domains/document-extraction/skills/extraction-quality-testing/SKILL.md"

Manual Installation

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

How extraction-quality-testing Compares

Feature / Agentextraction-quality-testingStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

extraction quality testing

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

Test extraction output quality

1. Create test documents
2. Define expected outputs
3. Run extraction
4. Compare results
5. Validate metadata
6. Check table structure
7. Verify images extracted
8. Report results