draw-your-font – skill Khác cho agent AI
Biến ảnh chữ viết tay thành font TTF có thể cài đặt.
Cài skill draw-your-font bằng một lệnh
Chọn công cụ bạn đang dùng, copy lệnh và dán vào terminal. Skill sẽ nằm trong thư mục skills của công cụ đó và sẵn sàng dùng ở phiên làm việc tiếp theo.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/draw-your-font-ef052.tgz | tar xz -C ~/.claude/skills
Gọi trong Claude Code: /draw-your-font – rồi mô tả công việc bạn muốn làm.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/draw-your-font-ef052.tgz | tar xz -C ~/.codex/skills
Gọi trong Codex: $draw-your-font – rồi mô tả công việc bạn muốn làm.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/draw-your-font-ef052.tgz | tar xz -C ~/.hermes/skills
Gọi trong Hermes Agent: /draw-your-font – rồi mô tả công việc bạn muốn làm.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/draw-your-font-ef052.tgz | tar xz -C ~/.deepcode/skills
Gọi trong DeepSeek: /draw-your-font – rồi mô tả công việc bạn muốn làm.
Nội dung SKILL.md
Nội dung SKILL.md gốc bằng tiếng Anh.
draw-your-font
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.
Setup in Hermes (once per session)
The CLI is the pinned npm package [email protected] — run it via npx (Node ≥ 18 required, no global install needed):
npx -y [email protected] --helpWherever the examples below show $DYF, use npx -y [email protected]. Shell variables do not persist between tool calls, so paste the full command each time. Everything runs locally; the user's handwriting never leaves the machine.
Photos arrive in Hermes either as a file path in the message or via the gateway image cache — use the actual file path with the CLI. When a photo lands in the conversation with no path, ask the user for the file (the CLI needs a real file, not your memory of the image).
Do the visual steps (contact sheets, previews, glyph sheets) by loading the PNGs with vision_analyze.
Decide the flow
- User has no photo yet → offer the template: print, write, photograph.
- User shares photo(s) of handwriting → main flow below.
- User pasted an image but there is no file path → you can see it, but the
CLI needs a file. Ask them to drag the image file into the terminal (that
inserts its path) or give the path directly. Do not proceed from memory.
- User wants changes to a font built this session → Refine section.
Template flow (best quality)
$DYF template -o template.pdf --charset minimal # or: spanishTell 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.
Main flow: photo(s) → font
1. Segment. Works for template pages and freeform photos alike:
$DYF segment photo1.jpg photo2.jpg -d work2. Look, then label. Load work/contact-1.png with vision_analyze (one per photo): every
detected blob is numbered. This is the step where your eyes matter - check:
- Did every written character get exactly one box? A letter drawn with
separate strokes may appear as two boxes (relabel handles it: give the main
box the character and mark the fragment ""), and two touching letters may
share one box (ask the user to re-shoot just those, or accept the gap).
- Junk boxes (shadows, ruled lines, smudges, page edges) → label them
"".
Then write work/labels.json mapping blob id → character, e.g.
{"0": "A", "1": "B", "7": "", "8": "a"}:
- Template page: order is the charset order printed on the template - verify
against the sheet instead of trusting it blindly. minimal order: A–Z, a–z,
0–9, then .,;:!?'"-()@#&+/$; spanish appends ÑñÁÉÍÓÚáéíóúü¿¡.
- Freeform: identify each letter from the contact sheet. Uppercase vs
lowercase for shape-twins (S/s, O/o, C/c, X/x…) is decided by relative size
and position - compare against neighbors you're sure of.
- The user told you what they wrote (e.g. "ABC then abc")? Trust it, map in
reading order (top row first, left to right), and verify visually.
- Same letter appears twice → label the better-drawn one,
""the other.
3. Build.
$DYF build -d work --labels work/labels.json --name "Dan's Hand"Name the font after the user (ask if unclear - one short question max).
4. Judge before delivering. Load work/preview.png and work/glyphs.png with vision_analyze
and critique like an art director:
- Broken or blotchy letters (bad trace) → often a faint pen stroke; try
--weight 1, or ask for a re-shoot of just that letter.
- Everything too thin/thick → rebuild with
--weight 1/--weight -1. - Jagged edges → rebuild with
--smooth 1.5(up to 2). - A letter placed wrong (e.g. a
gnot descending) → usually a mislabel;
fix labels.json and rebuild.
- Filled-in bowls (b, o, g look solid): should never happen - if it does,
the crop is smudged; ask for a re-shoot.
Rebuilds are cheap and safe to iterate. Fix what you can yourself first;
only bother the user for re-shoots when the source ink is the problem.
5. Deliver. The font lands at <workdir>/<NameWithoutSpaces>.ttf (the
build output prints the exact path). Give that path and how to install:
macOS - double-click → "Install Font"; Windows - right-click → "Install".
Mention what's missing (the build prints uncovered letters) and offer,
without pushing:
- Web formats + CSS: rebuild with
--formats ttf,woff,woff2,css. - A legibility read (below).
- Their next photo to fill missing characters: re-run segment with ALL
photos (old and new) into a fresh workdir - `$DYF segment p1.jpg p2.jpg -d
work2` - then relabel from the new contact sheets (blob ids renumber; the
old labels.json does not carry over) and build from the new workdir.
Refine (conversational iteration)
| User says | Do |
|---|---|
| "smoother / rounder" | build … --smooth 1.5 (max 2) |
| "thicker / bolder" | build … --weight 1 (max 2) |
| "thinner / lighter" | build … --weight=-1 (negative needs the = form) |
| "the g looks bad" | show them work/crops/<id>.png for that letter; offer re-shoot or smooth |
| "wrong letter" / swap | edit labels.json, rebuild |
| "give me woff2 / web" | build … --formats ttf,woff,woff2,css |
| custom preview text | $DYF preview -d work --text "…" (after a build) |
All refine commands rebuild from the stored crops - no re-photographing
needed unless the ink itself is the problem.
Legibility report (offer after delivering)
$DYF preview -d work --text "minimum mill rn m cl d I l 1 O 0 quick brown fox" -o work/legibility.pngRead it and give an honest, kind read: a score out of 10 for body-text use,
the 2–3 letter pairs most likely to confuse (rn→m, cl→d, I/l/1, O/0), and one
or two concrete fixes (rewrite those letters larger, more spacing). Note that
display use (headings, notes) is more forgiving than paragraphs. Never gate
delivery on this - it's advice, not a blocker.
Troubleshooting
Segmentation found far too many / too few blobs, grey guide lines surviving,
shadow blobs, faint ballpoint strokes → see
references/troubleshooting.md.
Skill liên quan
- ask-matt – Hỏi skill hoặc quy trình nào phù hợp với tình huống của bạn. Bộ định tuyến cho các skill…
- ask-questions-if-underspecified – Làm rõ yêu cầu trước khi triển khai. Dùng khi có nghi ngờ nghiêm trọng.
- dream-loop – Tạo cảnh 3D ấn tượng thông qua vòng lặp đảm bảo độ trung thực với concept art.
- glycoengineering – Phân tích và thiết kế glycosyl hóa protein bằng cách quét các sequon N-glycosylation…
- hunt-information-disclosure – Săn rò rỉ lỗi (error leakage), phơi lộ DVCS, source map, file cấu hình và oracle so sánh…
- godot-gdscript-patterns – Làm chủ các mẫu Godot 4 GDScript gồm signal, scene, state machine và tối ưu hóa. Dùng…
- claude-coach – Huấn luyện viên cá nhân giúp người dùng trở thành chuyên gia sử dụng Claude. Dùng kỹ…
- avalonia-viewmodels-zafiro – Các mẫu tạo ViewModel và Wizard tối ưu cho Avalonia với Zafiro và ReactiveUI.