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This skill handles file format conversions across documents (PDF, DOCX, Markdown, HTML, TXT), data files (JSON, CSV, YAML, XML, TOML), and images (PNG, JPG, WebP, SVG, GIF).
Passed 21 of 22 test cases with the skill, and 20 of 22 without it.
2 fixed19 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
Provide Python code to read structured data from 'meta.json' and write it out to 'meta.toml'.
| Checked | Without skill | With skill |
|---|---|---|
| The code uses tomli_w to serialize data to TOML format. | Missed | Passed |
The instructions your model reads when the skill loads.
Convert files between formats across three categories: documents, data files, and images. Generate Python code dynamically for each conversion request, selecting appropriate libraries and handling edge cases.
| From | To | Recommended Library |
|---|---|---|
| Markdown | HTML | markdown or mistune |
| HTML | Markdown | markdownify or html2text |
| HTML | weasyprint or pdfkit (requires wkhtmltopdf) | |
| Text | pypdf or pdfplumber | |
| DOCX | Markdown | mammoth |
| DOCX | docx2pdf (Windows/macOS) or LibreOffice CLI | |
| Markdown | Convert via HTML first, then to PDF |
| From | To | Recommended Library |
|---|---|---|
| JSON | YAML | pyyaml |
| YAML | JSON | pyyaml |
| JSON | CSV | pandas or stdlib csv + json |
| CSV | JSON | pandas or stdlib csv + json |
| JSON | TOML | tomli/tomllib (read) + tomli-w (write) |
| XML | JSON | xmltodict |
| JSON | XML | dicttoxml or xmltodict.unparse |
| From | To | Recommended Library |
|---|---|---|
| PNG/JPG/WebP/GIF | Any raster | Pillow (PIL) |
| SVG | PNG/JPG | cairosvg or svglib + reportlab |
| PNG | SVG | potrace (CLI) for tracing, limited fidelity |
test cases passed, vs 20 / 22 without
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