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dkyazzentwatwa/chatgpt-skills

document-converter-suite

Convert PDFs, Office docs, markdown, HTML, and tables between editable formats. Use for best-effort document conversion, PDF utilities, form filling, and table extraction.

First seen Jan 24, 2026

Installation

$ npx skills add dkyazzentwatwa/chatgpt-skills --skill document-converter-suite
View on skills.sh ↗ GitHub repository ↗

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Also listed on

Alternate registries and mirrors of this skill.

Repository health

Stars 99
Default branch main
Open issues 2
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,544 B
  • docs SUMMARY.md 1,505 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 472 installs

SKILL.md

Document Converter Suite

Run best-effort extraction and rebuild workflows across common document formats. Preserve clean structure, not pixel-perfect layout.

Use This For

  • Converting between pdf, docx, pptx, xlsx, txt, csv, md, and html
  • Pulling tables or spreadsheet-style grids into editable outputs
  • Running utility PDF operations such as merge, split, rotate, watermark, or page extraction
  • Filling simple document or form-style templates

Workflow

  1. Confirm the source format, target format, and whether editability or fidelity matters more.
  2. Use scripts/convert.py for single documents and scripts/batch_convert.py for folders.
  3. Use the bundled utility scripts when the user needs a focused PDF or table task:

- scripts/pdftoolkit.py - scripts/tableextractor.py - scripts/form_filler.py

  1. Say explicitly when the output is best-effort and likely to lose layout, images, OCR text, or advanced formatting.

Guardrails

  • Do not promise visual fidelity.
  • Treat scanned PDFs as OCR problems, not conversion problems.
  • Raise safety caps gradually on large sheets or documents instead of processing everything blindly.

References

  • references/conversion_matrix.md for supported paths.
  • references/limitations.md for failure modes and tradeoffs.