Pdf doc processing
Reusable file-first kit for AI-assisted landscape design projects.
npx -y skills add charmonye/landkit --skill pdf-doc-processingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 17 stars17 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Use when reading, extracting, summarizing, or converting PDFs related to landscape project documentation, client briefs, reference packs, estimates, contracts, or scanned drawings.
SKILL.md
1.2 KB, as published. Nobody here has run it
PDF Doc Processing
Goal
Extract project-useful information from PDFs without losing page references or bloating context.
Process
- Identify PDF type: text PDF, scan, drawing, presentation, estimate, contract.
- If a text layer is available, extract relevant text using available means.
- If there is no text layer, use OCR/VLM-style processing or work page by page with screenshots/exports.
- Save the result in the relevant project folder or
91_referencesif it is a shared sample. - For large PDFs, create a short index: pages, topics, important excerpts, what applies to the project.
- Do not convert the whole PDF into Markdown unless necessary.
Extract
- Documentation scope.
- Client requirements.
- Dimensions, areas, quantities.
- Prices and price dates.
- Legal or technical constraints.
- Pages with layout examples.
Output
- Short summary.
- Table: page -> meaning -> action.
- Requirements to move into brief, documentation, or estimate.