Best use case
batch-extract-files is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
uatch extract files
Teams using batch-extract-files 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/batch-extract-files/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How batch-extract-files Compares
| Feature / Agent | batch-extract-files | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
uatch extract files
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.
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SKILL.md Source
Concurrent extraction of multiple documents 1. Estimate optimal worker pool size 2. Create async task queue for documents 3. Spawn worker tasks up to pool size 4. Process documents concurrently 5. Track errors per document 6. Preserve input document ordering 7. Return batch results
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