pdf-text-extractor-example-usage
Sub-skill of pdf-text-extractor: Example Usage.
Best use case
pdf-text-extractor-example-usage is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of pdf-text-extractor: Example Usage.
Teams using pdf-text-extractor-example-usage 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/example-usage/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How pdf-text-extractor-example-usage Compares
| Feature / Agent | pdf-text-extractor-example-usage | 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?
Sub-skill of pdf-text-extractor: Example Usage.
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.
SKILL.md Source
# Example Usage ## Example Usage ```bash # Extract single PDF python extract.py document.pdf --db output.db # Extract directory python extract.py /path/to/pdfs --db knowledge.db # Check progress python extract.py --stats --db knowledge.db # With custom chunk size python extract.py /path/to/pdfs --chunk-size 1500 ```
Related Skills
sodir-data-extractor
Extract and process Norwegian Petroleum Directorate field and production data from SODIR
bsee-data-extractor
Extract and process BSEE (Bureau of Safety and Environmental Enforcement) data including production, WAR (Well Activity Reports), and APD (Application for Permit to Drill) data. Use for querying production data, well activities, drilling permits, completions, and workovers by API number, block, lease, or field with automatic data normalization and caching.
context-compaction-handoff
Guardrails for resuming work after context compaction or transcript handoff blocks; prioritize the latest real user request over stale summarized tasks and verify before answering.
wiki-context
Auto-query llm-wiki domains for relevant context before executing domain tasks
pdf-text-extractor-readability-classification
Sub-skill of pdf-text-extractor: Readability Classification.
pdf-text-extractor
Extract text from PDF files with intelligent chunking and metadata preservation. For batch extraction (1K+ PDFs), use pdftotext (poppler) via subprocess — see pdf skill Tool Selection table. For single-doc quality, use Codex or PyMuPDF. Supports technical documents, standards libraries, research papers, or any PDF collection.
pdf-pdftotext-poppler
Sub-skill of pdf: pdftotext (Poppler) (+2).
data-context-extractor
Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts
pretext
Use when building creative browser demos with @chenglou/pretext — DOM-free text layout for ASCII art, typographic flow around obstacles, text-as-geometry games, kinetic typography, and text-powered generative art. Produces single-file HTML demos by default.
skill-chain-context-optimization
Refactor large or frequently-run skills into context-efficient chains using isolated execution, file-backed handoffs, minimal summaries, and runtime-aware command substitution.
usage-optimization
Optimize AI usage efficiency through script-first patterns, batch operations, and input preparation
agent-usage-optimizer
Reads quota state and recommends optimal Codex/Codex/Gemini allocation per task