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Get Started Free →danilo-znamerovszkij/draw-your-font
Turn a photo of handwriting into a real installable font (TTF/WOFF/WOFF2).
Passed 15 of 18 test cases with the skill, and 3 of 18 without it.
and 13 more in the full report
15 fixed3 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Before creating `labels.json`, which generated file must be visually inspected to identify the assigned blob numbers for each handwritten letter?
| Checked | Without skill | With skill |
|---|---|---|
| Directs checking work/contact-1.png or the contact sheet image generated by segmentation | Missed | Passed |
The instructions your model reads when the skill loads.
Photo of handwritten letters in → installable font out. You do the seeing (find and label letters, judge quality); the CLI does all geometry (trace, metrics, font assembly). Never edit SVG paths or coordinates yourself.
Run node <skill-dir>/scripts/resolve-cli.js once. It prints the CLI
invocation to use (e.g. node /abs/path/src/cli.js). Substitute that printed
command wherever the examples below show $DYF - shell variables do not
persist between tool calls, so paste the real command each time.
If it errors, run npm install where it tells you (or npm i -g draw-your-font) and retry. Requires Node ≥ 18. Everything runs locally;
nothing is uploaded.
$DYF template -o template.pdf --charset minimal # or: spanish
Tell the user: print it, write one character per box with a dark pen (0.5 mm+), keep the letter sitting on the solid line, then photograph each page from above in good light and share the file paths. The grid prints in light grey and vanishes during processing - only their ink survives.
1. Segment. Works for template pages and freeform photos alike:
test cases passed, vs 3 / 18 without
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