From fc22f06818523f1da23e6cc91eacaf93c75ed755 Mon Sep 17 00:00:00 2001
From: Shaan Shoukath <147940963+Shaan-Shoukath@users.noreply.github.com>
Date: Mon, 19 Oct 2026 20:23:41 +0530
Subject: [PATCH] Trace Patch to vector SVG and add the walk cycle

Co-Authored-By: Shaan-Shoukath <shaanshoukath4522@gmail.com>
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 README.md                                     |   2 +-
 brand/README.md                               |   2 +-
 mascot/README.md                              |  82 +++--
 mascot/concept/patch-walk-sheet.webp          | Bin 0 -> 89612 bytes
 mascot/frames/patch-01-idle.png               | Bin 106084 -> 525390 bytes
 mascot/frames/patch-01-idle.svg               |   1 +
 mascot/frames/patch-02-blink.png              | Bin 104658 -> 517135 bytes
 mascot/frames/patch-02-blink.svg              |   1 +
 mascot/frames/patch-03-left-ear.png           | Bin 106993 -> 533541 bytes
 mascot/frames/patch-03-left-ear.svg           |   1 +
 mascot/frames/patch-04-right-ear.png          | Bin 106351 -> 528147 bytes
 mascot/frames/patch-04-right-ear.svg          |   1 +
 mascot/frames/patch-05-sneeze-prep.png        | Bin 103873 -> 507100 bytes
 mascot/frames/patch-05-sneeze-prep.svg        |   1 +
 mascot/frames/patch-06-sneeze.png             | Bin 107737 -> 529635 bytes
 mascot/frames/patch-06-sneeze.svg             |   1 +
 mascot/frames/patch-07-recover.png            | Bin 103842 -> 517621 bytes
 mascot/frames/patch-07-recover.svg            |   1 +
 mascot/frames/patch-08-back-to-idle.png       | Bin 105122 -> 521028 bytes
 mascot/frames/patch-08-back-to-idle.svg       |   1 +
 mascot/patch-animated.svg                     |  32 +-
 mascot/patch-animated.webp                    | Bin 196306 -> 474856 bytes
 mascot/patch.png                              | Bin 381890 -> 1737146 bytes
 mascot/patch.svg                              |   1 +
 mascot/walk/frames/patch-walk-01.png          | Bin 0 -> 236399 bytes
 mascot/walk/frames/patch-walk-01.svg          |   1 +
 mascot/walk/frames/patch-walk-02.png          | Bin 0 -> 227214 bytes
 mascot/walk/frames/patch-walk-02.svg          |   1 +
 mascot/walk/frames/patch-walk-03.png          | Bin 0 -> 231783 bytes
 mascot/walk/frames/patch-walk-03.svg          |   1 +
 mascot/walk/frames/patch-walk-04.png          | Bin 0 -> 232309 bytes
 mascot/walk/frames/patch-walk-04.svg          |   1 +
 mascot/walk/frames/patch-walk-05.png          | Bin 0 -> 229458 bytes
 mascot/walk/frames/patch-walk-05.svg          |   1 +
 mascot/walk/frames/patch-walk-06.png          | Bin 0 -> 229522 bytes
 mascot/walk/frames/patch-walk-06.svg          |   1 +
 mascot/walk/frames/patch-walk-07.png          | Bin 0 -> 226303 bytes
 mascot/walk/frames/patch-walk-07.svg          |   1 +
 mascot/walk/frames/patch-walk-08.png          | Bin 0 -> 231916 bytes
 mascot/walk/frames/patch-walk-08.svg          |   1 +
 mascot/walk/patch-walk-animated.svg           |   1 +
 mascot/walk/patch-walk-animated.webp          | Bin 0 -> 195712 bytes
 mascot/walk/patch-walk.png                    | Bin 0 -> 613363 bytes
 mascot/walk/patch-walk.svg                    |   1 +
 site/package-lock.json                        | 296 ++++++++++++++++
 site/package.json                             |   3 +
 site/scripts/cut-mascot.mjs                   | 329 ++++++++++++------
 site/src/components/MascotGallery.astro       |  74 ++--
 site/src/content/docs/brand/mascot.mdx        |  30 +-
 .../src/content/docs/tokens/using-the-kit.mdx |   2 +-
 site/src/styles/kit.css                       |  14 +-
 51 files changed, 684 insertions(+), 201 deletions(-)
 create mode 100644 mascot/concept/patch-walk-sheet.webp
 create mode 100644 mascot/frames/patch-01-idle.svg
 create mode 100644 mascot/frames/patch-02-blink.svg
 create mode 100644 mascot/frames/patch-03-left-ear.svg
 create mode 100644 mascot/frames/patch-04-right-ear.svg
 create mode 100644 mascot/frames/patch-05-sneeze-prep.svg
 create mode 100644 mascot/frames/patch-06-sneeze.svg
 create mode 100644 mascot/frames/patch-07-recover.svg
 create mode 100644 mascot/frames/patch-08-back-to-idle.svg
 create mode 100644 mascot/patch.svg
 create mode 100644 mascot/walk/frames/patch-walk-01.png
 create mode 100644 mascot/walk/frames/patch-walk-01.svg
 create mode 100644 mascot/walk/frames/patch-walk-02.png
 create mode 100644 mascot/walk/frames/patch-walk-02.svg
 create mode 100644 mascot/walk/frames/patch-walk-03.png
 create mode 100644 mascot/walk/frames/patch-walk-03.svg
 create mode 100644 mascot/walk/frames/patch-walk-04.png
 create mode 100644 mascot/walk/frames/patch-walk-04.svg
 create mode 100644 mascot/walk/frames/patch-walk-05.png
 create mode 100644 mascot/walk/frames/patch-walk-05.svg
 create mode 100644 mascot/walk/frames/patch-walk-06.png
 create mode 100644 mascot/walk/frames/patch-walk-06.svg
 create mode 100644 mascot/walk/frames/patch-walk-07.png
 create mode 100644 mascot/walk/frames/patch-walk-07.svg
 create mode 100644 mascot/walk/frames/patch-walk-08.png
 create mode 100644 mascot/walk/frames/patch-walk-08.svg
 create mode 100644 mascot/walk/patch-walk-animated.svg
 create mode 100644 mascot/walk/patch-walk-animated.webp
 create mode 100644 mascot/walk/patch-walk.png
 create mode 100644 mascot/walk/patch-walk.svg

diff --git a/README.md b/README.md
index 9017752..988a841 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@ masters, colours, type, voice, every design token and the UI specs, published fr
 |---|---|
 | `brand/` | `space-works-brand-guidelines-v1.pdf` — the source of truth for logo, colour, type, icons and voice |
 | `logo/` | Ten vector masters exported directly from Figma, with matching 4× PNGs: `symbol`, `symbol-reversed`, `symbol-one-colour-ink`, `lockup-stacked`, `lockup-stacked-reversed`, `lockup-stacked-one-colour-ink`, `lockup-horizontal`, `lockup-horizontal-reversed`, `lockup-horizontal-one-colour-ink`, `app-icon` |
-| `mascot/` | **Patch**, the painted wolf mascot, cut from the approved concept sheet in `mascot/concept/`: `patch.png` (hero), `patch-animated.webp` and `patch-animated.svg` (the 7-second loop), the eight frames in `frames/`, and the story and usage rules in `mascot/README.md` |
+| `mascot/` | **Patch**, the painted wolf mascot, cut from the approved concept sheets in `mascot/concept/` and traced to vector SVG: `patch.svg` (hero), `patch-animated.webp`/`.svg` (the 7-second sneeze loop) and its eight `frames/`, plus `walk/` (the walking pose, walk cycle and its frames), with high-resolution PNGs. Story and usage rules in `mascot/README.md` |
 | `icons/` | `favicon.svg`, PNG app icons (16, 32, 180, 192, 512) and the 1200×630 social card |
 | `fonts/` | Gilroy Regular, Medium, Semibold and Bold (WOFF), plus Unbounded (WOFF2). Legacy faces retained for existing consumers. See `fonts/README.md`. |
 | `tokens/` | `tokens.css` (`@font-face` + light/dark colour variables as RGB triplets) and `tokens.json` (the same colours as hex, plus the seven brand colours) |
diff --git a/brand/README.md b/brand/README.md
index 6e52d2b..ce5fc00 100644
--- a/brand/README.md
+++ b/brand/README.md
@@ -8,7 +8,7 @@ Exported from the connected Figma file on 15 October 2026 using Figma MCP Go+.
 - `figma-styles.json`: source node IDs, component bounds, seven paint styles and ten text styles.
 - `../logo/`: ten SVG masters and matching 4× PNGs, including primary, horizontal, symbol and app-tile variants.
 - `../icons/`: favicon, app icons and social preview.
-- `../mascot/`: Patch, the painted wolf mascot, cut from its concept sheet (hero PNG, animated WebP and SVG, eight frames). Added after the Figma export; see `../mascot/README.md`.
+- `../mascot/`: Patch, the painted wolf mascot, cut from its two concept sheets and traced to vector SVG (hero, sneeze loop, walk cycle and every frame, with PNGs and animated WebPs). Added after the Figma export; see `../mascot/README.md`.
 - `../tokens/`: reusable CSS and JSON tokens. `../fonts/`: web fonts and provenance.
 
 Use full color on light surfaces, reversed cream on dark surfaces, and the dedicated ink mark for single-color use. Monochrome versions preserve a hollow opening and transparent folds; do not create them by recoloring the full-color logo. Keep a quarter of the symbol height clear on every side.
diff --git a/mascot/README.md b/mascot/README.md
index 1169665..1287daa 100644
--- a/mascot/README.md
+++ b/mascot/README.md
@@ -36,34 +36,58 @@ Short, friendly and easy to say in any language.
 
 ## The files
 
-Patch is the artwork in the approved concept sheet, cut out as it is. Nothing was redrawn.
+Patch is the artwork in the two approved concept sheets in [`concept/`](concept/). Each piece is cut out
+and **traced to a colour vector SVG**, so it stays sharp at any size. Nothing was redrawn by hand. Every
+PNG and WebP is rendered from those vectors.
+
+### Pose and sneeze loop (from `concept/patch-concept-sheet.webp`)
+
+| File | Use it for | Size |
+|---|---|---|
+| [`patch.svg`](patch.svg) / [`patch.png`](patch.png) | The hero pose: about pages, the website, docs, social posts, stickers, print | SVG any size; PNG 2560 × 2560 |
+| [`patch-animated.webp`](patch-animated.webp) | The 7-second sneeze loop in apps, the web and chat | 544 × 544 |
+| [`patch-animated.svg`](patch-animated.svg) | The same loop as a vector, sharp at any size. Heavy (about 10 MB), so use it for big hero moments, not lists. | any size |
+| [`frames/`](frames/) | The eight frames as SVG and PNG, for app animation code or a Lottie | SVG any size; PNG 1088 × 1088 |
+
+### Walk cycle (from `concept/patch-walk-sheet.webp`)
 
 | File | Use it for | Size |
 |---|---|---|
-| [`patch.png`](patch.png) | The hero pose: about pages, the website, docs, social posts, stickers | 640 × 640, transparent |
-| [`patch-animated.webp`](patch-animated.webp) | The 7-second loop, anywhere an image goes: apps, the web, chat | 272 × 272, transparent |
-| [`patch-animated.svg`](patch-animated.svg) | The same loop as an SVG: the eight frames embedded and timed with CSS. Respects reduced motion. | 272 × 272, transparent |
-| [`frames/`](frames/) | The eight animation frames as separate PNGs, for app animation code or building a Lottie | 272 × 272 each |
-| [`concept/patch-concept-sheet.webp`](concept/patch-concept-sheet.webp) | The approved concept sheet: pose, every frame, palette, sizes and backgrounds. **The source of truth.** | 1774 × 887 |
+| [`walk/patch-walk.svg`](walk/patch-walk.svg) / [`.png`](walk/patch-walk.png) | Patch trotting with the wrench: loading, "on its way", returns and deliveries | SVG any size; PNG 1920 × 1440 |
+| [`walk/patch-walk-animated.webp`](walk/patch-walk-animated.webp) | The walk cycle, looping (8 frames, 0.96 s) | 512 × 352 |
+| [`walk/patch-walk-animated.svg`](walk/patch-walk-animated.svg) | The walk cycle as a vector (about 4.5 MB) | any size |
+| [`walk/frames/`](walk/frames/) | The eight walk frames as SVG and PNG | SVG any size; PNG 1024 × 704 |
 
-Every frame sits on the same canvas with the badge in the same place, so the frames can be swapped
-without Patch jumping.
+Frames on the same canvas line up exactly: the sneeze frames on the teal badge, the walk frames on the
+ground shadow. Swap them and Patch doesn't jump. The walk's ground shadow is a vector capsule tinted to
+match the sheet on Warm Cream; on other surfaces it darkens them gently.
 
 ```html
 <img src="design/mascot/patch-animated.webp" width="136" height="136" alt="Patch, the Space Works mascot">
+<img src="design/mascot/walk/patch-walk-animated.webp" width="128" height="88" alt="Patch walking">
 ```
 
-The files are raster, cut from the sheet at its own resolution. Use the hero up to about 320 px wide and
-the animation up to about 136 px (half size, so it stays sharp on high-density screens). For larger or
-print use, export the original artwork at a higher resolution, replace
-`concept/patch-concept-sheet.webp` and re-run the cutter (from `site/`):
+The animated SVGs use CSS only, so they play in a plain `<img>` and show one still frame when reduced
+motion is on. The WebPs are much lighter; prefer them in product UI.
+
+### How the files are made
+
+`site/scripts/cut-mascot.mjs` builds all of it from the sheets: it cuts each piece out (flood-filling the
+sheet's cream away from the edges, so cream fur inside Patch stays), upscales it 4×, traces it with
+[vtracer](https://github.com/visioncortex/vtracer) at its finest colour settings, and renders the PNGs
+and WebPs from the vectors. To rebuild after replacing a sheet (from `site/`; the concept sheet takes a
+few minutes):
 
 ```bash
 node scripts/cut-mascot.mjs
 ```
 
-If the new sheet has a different size or layout, update the boxes at the top of
-`site/scripts/cut-mascot.mjs` first.
+Pass `concept` or `walk` to rebuild just one sheet. If a new sheet has a different layout, update its
+boxes in `SHEETS` at the top of the script first. A higher-resolution sheet traces into even finer vectors.
+
+**Known trade-off:** tracing turns soft shading into flat colour layers. Up close, the subtle brown iris
+inside each eye merges into the pupil, and the tiny walk frames show slightly stepped outlines at extreme
+zoom. At normal sizes Patch looks like the sheet.
 
 ## Anatomy
 
@@ -75,6 +99,7 @@ If the new sheet has a different size or layout, update the boxes at the top of
 | **Eyes** | Big, dark and kind, with bright highlights. Patch is never fierce. |
 | **Wrench** | Silver, held sideways across the mouth. |
 | **Badge** | Maker Teal, a Warm Yellow dotted orbit, Warm Yellow ringed planets, Citron, Workshop Orange and Sky Blue sparkles. The ears break out of the top of the badge. |
+| **Walking Patch** | Side view, no badge: a thick dark outline, a bushy cream-tipped tail up, the wrench held forward, a soft ground shadow. |
 
 The badge and accents use the brand colours. The coat browns and tans and the silver wrench belong to the
 artwork itself; don't reuse them as UI colours.
@@ -85,19 +110,23 @@ artwork itself; don't reuse them as UI colours.
 
 | Time | Frame | File |
 |---|---|---|
-| 0.0 s | Idle (breathing) | `frames/patch-01-idle.png` |
-| 2.0 s | Blink | `frames/patch-02-blink.png` |
-| 3.5 s | Left ear twitch | `frames/patch-03-left-ear.png` |
-| 4.0 s | Right ear twitch | `frames/patch-04-right-ear.png` |
-| 5.3 s | Sneeze (prep) | `frames/patch-05-sneeze-prep.png` |
-| 5.6 s | **Sneeze!** The sneeze vote | `frames/patch-06-sneeze.png` |
-| 6.0 s | Recover | `frames/patch-07-recover.png` |
-| 6.6–7.0 s | Back to idle | `frames/patch-08-back-to-idle.png` |
+| 0.0 s | Idle (breathing) | `frames/patch-01-idle` |
+| 2.0 s | Blink | `frames/patch-02-blink` |
+| 3.5 s | Left ear twitch | `frames/patch-03-left-ear` |
+| 4.0 s | Right ear twitch | `frames/patch-04-right-ear` |
+| 5.3 s | Sneeze (prep) | `frames/patch-05-sneeze-prep` |
+| 5.6 s | **Sneeze!** The sneeze vote | `frames/patch-06-sneeze` |
+| 6.0 s | Recover | `frames/patch-07-recover` |
+| 6.6–7.0 s | Back to idle | `frames/patch-08-back-to-idle` |
 
 Between those moments Patch holds the idle frame: the blink lasts 0.2 s and each ear twitch 0.3 s, then
-the sneeze runs straight through from 5.3 s to 7.0 s. The exact timing lives in `TIMELINE` in
+the sneeze runs straight through from 5.3 s to 7.0 s. The exact timing lives in `timeline` in
 `site/scripts/cut-mascot.mjs`. With reduced motion on, the SVG shows the idle frame only.
 
+The **walk cycle** plays its eight frames at 120 ms each (0.96 s per loop). Frames 6 and 7 have Patch's
+eyes closed happily mid-stride, exactly as in the walk sheet. With reduced motion on, the SVG shows the
+first frame.
+
 The sneeze is the signature moment. In product, save it for moments when the community acts together:
 a vote passing, a project filling up, a tool coming back to the shelf. Use `frames/` to play just the
 sneeze (frames 5 to 7) at those moments.
@@ -107,7 +136,8 @@ sneeze (frames 5 to 7) at those moments.
 Patch is the friendly face of the product. **The box symbol is still the logo.**
 
 - **Use Patch for:** empty states, onboarding, loading, success moments, 404 and error pages, the
-  website hero, docs, social posts, stickers, merch and event signage.
+  website hero, docs, social posts, stickers, merch and event signage. The walk suits loading and
+  anything in motion: a loan on its way, a tool being returned.
 - **Use the logo for:** the app header, the favicon, the app icon, legal pages and anywhere the brand
   must be identified. Don't put Patch inside or next to the box symbol as a combined mark.
 - **One bold moment per layout.** Patch counts as that moment. Don't add an Unbounded phrase, an orange
@@ -115,11 +145,11 @@ Patch is the friendly face of the product. **The box symbol is still the logo.**
 
 ## Keep Patch intact
 
-1. **Don't** recolour, filter or redraw Patch. Use the cut-outs as they are.
+1. **Don't** recolour, filter or redraw Patch. Use these files as they are.
 2. **Don't** stretch, skew or mirror Patch. The coat is asymmetric on purpose.
 3. **Don't** add shadows, glows, gradients or outlines.
 4. **Don't** make Patch fierce: no bared teeth, angry brows or hunting poses.
-5. **Don't** enlarge the files past the sizes above. Re-export from the original instead.
+5. **Don't** scale up the PNGs or WebPs past their size. Use the SVGs when you need bigger.
 6. **Do** keep clear space of a quarter of the badge's height around Patch.
 7. **Do** check contrast on dark surfaces: Patch's dark ear rims sit close to Deep Ink. Warm Cream,
    white, Citron, Sky Blue and Workshop Orange surfaces all work.
diff --git a/mascot/concept/patch-walk-sheet.webp b/mascot/concept/patch-walk-sheet.webp
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diff --git a/mascot/frames/patch-01-idle.svg b/mascot/frames/patch-01-idle.svg
new file mode 100644
index 0000000..264b811
--- /dev/null
+++ b/mascot/frames/patch-01-idle.svg
@@ -0,0 +1 @@
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diff --git a/mascot/frames/patch-02-blink.svg b/mascot/frames/patch-02-blink.svg
new file mode 100644
index 0000000..1afc474
--- /dev/null
+++ b/mascot/frames/patch-02-blink.svg
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diff --git a/mascot/frames/patch-03-left-ear.png b/mascot/frames/patch-03-left-ear.png
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diff --git a/mascot/frames/patch-03-left-ear.svg b/mascot/frames/patch-03-left-ear.svg
new file mode 100644
index 0000000..638095f
--- /dev/null
+++ b/mascot/frames/patch-03-left-ear.svg
@@ -0,0 +1 @@
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diff --git a/mascot/frames/patch-04-right-ear.png b/mascot/frames/patch-04-right-ear.png
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diff --git a/mascot/frames/patch-04-right-ear.svg b/mascot/frames/patch-04-right-ear.svg
new file mode 100644
index 0000000..930f0c5
--- /dev/null
+++ b/mascot/frames/patch-04-right-ear.svg
@@ -0,0 +1 @@
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diff --git a/mascot/frames/patch-05-sneeze-prep.png b/mascot/frames/patch-05-sneeze-prep.png
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diff --git a/mascot/frames/patch-05-sneeze-prep.svg b/mascot/frames/patch-05-sneeze-prep.svg
new file mode 100644
index 0000000..fc80c52
--- /dev/null
+++ b/mascot/frames/patch-05-sneeze-prep.svg
@@ -0,0 +1 @@
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diff --git a/mascot/frames/patch-06-sneeze.svg b/mascot/frames/patch-06-sneeze.svg
new file mode 100644
index 0000000..2d8bd80
--- /dev/null
+++ b/mascot/frames/patch-06-sneeze.svg
@@ -0,0 +1 @@
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diff --git a/mascot/frames/patch-07-recover.png b/mascot/frames/patch-07-recover.png
index 1c4c53167bf65e27ecaa583eff5a561a291b9e71..1fed08106dd24a9a2165c85b91556fb5eab5854c 100644
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diff --git a/mascot/frames/patch-07-recover.svg b/mascot/frames/patch-07-recover.svg
new file mode 100644
index 0000000..0511598
--- /dev/null
+++ b/mascot/frames/patch-07-recover.svg
@@ -0,0 +1 @@
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diff --git a/mascot/frames/patch-08-back-to-idle.png b/mascot/frames/patch-08-back-to-idle.png
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diff --git a/mascot/frames/patch-08-back-to-idle.svg b/mascot/frames/patch-08-back-to-idle.svg
new file mode 100644
index 0000000..3beb67d
--- /dev/null
+++ b/mascot/frames/patch-08-back-to-idle.svg
@@ -0,0 +1 @@
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diff --git a/mascot/patch-animated.svg b/mascot/patch-animated.svg
index ba1b8bd..06210d2 100644
--- a/mascot/patch-animated.svg
+++ b/mascot/patch-animated.svg
@@ -1,31 +1 @@
-<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 272 272" width="272" height="272" role="img" aria-labelledby="patch-title">
-  <title id="patch-title">Patch, the Space Works mascot, blinking, twitching its ears and doing a sneeze vote</title>
-  <style>
-    image { opacity: 0; animation: 7s step-end infinite; }
-    .patch-f0 { animation-name: patch-f0; }
-    .patch-f1 { animation-name: patch-f1; }
-    .patch-f2 { animation-name: patch-f2; }
-    .patch-f3 { animation-name: patch-f3; }
-    .patch-f4 { animation-name: patch-f4; }
-    .patch-f5 { animation-name: patch-f5; }
-    .patch-f6 { animation-name: patch-f6; }
-    .patch-f7 { animation-name: patch-f7; }
-    @keyframes patch-f0 { 0% { opacity: 1; } 28.571% { opacity: 0; } 31.429% { opacity: 1; } 50% { opacity: 0; } 54.286% { opacity: 1; } 57.143% { opacity: 0; } 61.429% { opacity: 1; } 75.714% { opacity: 0; } }
-    @keyframes patch-f1 { 0% { opacity: 0; } 28.571% { opacity: 1; } 31.429% { opacity: 0; } }
-    @keyframes patch-f2 { 0% { opacity: 0; } 50% { opacity: 1; } 54.286% { opacity: 0; } }
-    @keyframes patch-f3 { 0% { opacity: 0; } 57.143% { opacity: 1; } 61.429% { opacity: 0; } }
-    @keyframes patch-f4 { 0% { opacity: 0; } 75.714% { opacity: 1; } 80% { opacity: 0; } }
-    @keyframes patch-f5 { 0% { opacity: 0; } 80% { opacity: 1; } 85.714% { opacity: 0; } }
-    @keyframes patch-f6 { 0% { opacity: 0; } 85.714% { opacity: 1; } 94.286% { opacity: 0; } }
-    @keyframes patch-f7 { 0% { opacity: 0; } 94.286% { opacity: 1; } 100% { opacity: 0; } }
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"/>
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"/>
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"/>
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"/>
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"/>
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"/>
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diff --git a/mascot/patch-animated.webp b/mascot/patch-animated.webp
index 9d9e3a6e3411e64891fd1dc07774c39b96f17c95..43648dc2aa3292c12d4933646ceef17ec9b62932 100644
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diff --git a/mascot/patch.svg b/mascot/patch.svg
new file mode 100644
index 0000000..ed17205
--- /dev/null
+++ b/mascot/patch.svg
@@ -0,0 +1 @@
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diff --git a/mascot/walk/frames/patch-walk-03.svg b/mascot/walk/frames/patch-walk-03.svg
new file mode 100644
index 0000000..1497599
--- /dev/null
+++ b/mascot/walk/frames/patch-walk-03.svg
@@ -0,0 +1 @@
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new file mode 100644
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+++ b/mascot/walk/frames/patch-walk-07.svg
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diff --git a/mascot/walk/patch-walk-animated.svg b/mascot/walk/patch-walk-animated.svg
new file mode 100644
index 0000000..cf28dcb
--- /dev/null
+++ b/mascot/walk/patch-walk-animated.svg
@@ -0,0 +1 @@
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diff --git a/site/package-lock.json b/site/package-lock.json
index c2e9005..2c389d0 100644
--- a/site/package-lock.json
+++ b/site/package-lock.json
@@ -14,6 +14,9 @@
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@@ -1719,6 +1722,299 @@
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+      "integrity": "sha512-z6E5GQcFCQMdJ5HeoHg5KpJJSuq0MPxW2HhPgOjWYnykF4aIwtLAqQdnNTQtKpuunsjoLtK9iqx82+BYX/f64w==",
+      "cpu": [
+        "ia32"
+      ],
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">= 12.22.0 < 13 || >= 14.17.0 < 15 || >= 15.12.0 < 16 || >= 16.0.0"
+      }
+    },
+    "node_modules/@neplex/vectorizer-win32-x64-msvc": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/@neplex/vectorizer-win32-x64-msvc/-/vectorizer-win32-x64-msvc-0.1.0.tgz",
+      "integrity": "sha512-OuFcznF1+CIs09X94PsfiyxwgkPpH8ZQQ81aPRjexFdLLLt5UpIOlsbUK2Ypb5u/bC/lCOpuUfP/bVP205YinQ==",
+      "cpu": [
+        "x64"
+      ],
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "win32"
+      ],
+      "engines": {
+        "node": ">= 12.22.0 < 13 || >= 14.17.0 < 15 || >= 15.12.0 < 16 || >= 16.0.0"
+      }
+    },
+    "node_modules/@neplex/vectorizer/node_modules/commander": {
+      "version": "14.0.3",
+      "resolved": "https://registry.npmjs.org/commander/-/commander-14.0.3.tgz",
+      "integrity": "sha512-H+y0Jo/T1RZ9qPP4Eh1pkcQcLRglraJaSLoyOtHxu6AapkjWVCy2Sit1QQ4x3Dng8qDlSsZEet7g5Pq06MvTgw==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=20"
+      }
+    },
     "node_modules/@oslojs/encoding": {
       "version": "1.1.0",
       "resolved": "https://registry.npmjs.org/@oslojs/encoding/-/encoding-1.1.0.tgz",
diff --git a/site/package.json b/site/package.json
index 33f754f..192b221 100644
--- a/site/package.json
+++ b/site/package.json
@@ -18,5 +18,8 @@
     "astro": "7.3.5",
     "sharp": "0.34.4",
     "starlight-links-validator": "0.26.0"
+  },
+  "devDependencies": {
+    "@neplex/vectorizer": "^0.1.0"
   }
 }
diff --git a/site/scripts/cut-mascot.mjs b/site/scripts/cut-mascot.mjs
index fd561f3..2fa7cc5 100644
--- a/site/scripts/cut-mascot.mjs
+++ b/site/scripts/cut-mascot.mjs
@@ -1,57 +1,138 @@
-// Cuts Patch out of the approved concept sheet (mascot/concept/patch-concept-sheet.webp): the hero pose
-// and the eight animation frames, on transparent backgrounds, plus the animated WebP and SVG.
-// Run from site/ after replacing the sheet: node scripts/cut-mascot.mjs
+// Builds every Patch file from the two approved concept sheets in mascot/concept/:
 //
-// The sheet background is removed by flood-filling cream from the edges of each crop, so cream fur
-// inside the artwork is kept. Edge pixels get partial alpha and are un-mixed from the cream.
+//   patch-concept-sheet.webp  ->  the hero pose and the eight-frame sneeze loop
+//   patch-walk-sheet.webp     ->  the walking pose and the eight-frame walk cycle
+//
+// Each piece is cut out (the sheet's cream is flood-filled away from the edges, so cream fur inside
+// the artwork stays), traced to a colour vector SVG at the highest settings, and rendered back to a
+// high-resolution PNG from that vector. The loops are built from the traced frames as an animated SVG
+// (CSS only, plays in <img>) and an animated WebP.
+//
+// Run from site/ after replacing a sheet: node scripts/cut-mascot.mjs [concept|walk]
+// (no argument rebuilds both sheets; tracing the concept sheet takes a few minutes)
 import { mkdirSync, rmSync, writeFileSync } from 'node:fs';
 import { dirname, join } from 'node:path';
 import { fileURLToPath } from 'node:url';
 import sharp from 'sharp';
+import { ColorMode, Hierarchical, PathSimplifyMode, optimizeSync, vectorize } from '@neplex/vectorizer';
 
 const mascot = join(dirname(fileURLToPath(import.meta.url)), '..', '..', 'mascot');
-const sheet = join(mascot, 'concept', 'patch-concept-sheet.webp');
-const frames = join(mascot, 'frames');
-
-// Artwork boxes on the 1774 × 887 sheet (x, y, width, height), found by measuring each blob.
-const HERO = [31, 31, 619, 615];
-const FRAMES = [
-  { name: '01-idle', box: [717, 75, 240, 234] },
-  { name: '02-blink', box: [978, 75, 241, 234] },
-  { name: '03-left-ear', box: [1240, 74, 241, 235] },
-  { name: '04-right-ear', box: [1503, 75, 240, 234] },
-  { name: '05-sneeze-prep', box: [716, 387, 242, 233] },
-  { name: '06-sneeze', box: [973, 387, 252, 233] },
-  { name: '07-recover', box: [1241, 387, 240, 233] },
-  { name: '08-back-to-idle', box: [1503, 387, 240, 233] },
-];
-// The loop as frames: [frame index, milliseconds on screen]. Adds up to 7000.
-const TIMELINE = [
-  [0, 2000], [1, 200], [0, 1300], [2, 300], [0, 200], [3, 300], [0, 1000],
-  [4, 300], [5, 400], [6, 600], [7, 400],
+
+// Tracing: upscale 4x, smooth JPEG-style noise, then trace with fine colour layers.
+const UPSCALE = 4;
+const TRACE = {
+  colorMode: ColorMode.Color,
+  hierarchical: Hierarchical.Stacked,
+  filterSpeckle: 6,
+  colorPrecision: 8,
+  layerDifference: 10,
+  mode: PathSimplifyMode.Spline,
+  cornerThreshold: 60,
+  lengthThreshold: 4,
+  maxIterations: 10,
+  spliceThreshold: 45,
+  pathPrecision: 1,
+};
+const PAD = 6; // keeps twitch marks and puffs; label text on the sheet starts further away
+
+const SHEETS = [
+  {
+    sheet: 'patch-concept-sheet.webp',
+    // Background: cream within NEAR is removed; edge pixels up to FAR get partial alpha.
+    near: 18,
+    far: 44,
+    align: 'badge', // frames line up on the Maker Teal badge
+    hero: { box: [31, 31, 619, 615], size: [640, 640], out: 'patch' },
+    frameSize: [272, 272],
+    frames: [
+      ['frames/patch-01-idle', [717, 75, 240, 234]],
+      ['frames/patch-02-blink', [978, 75, 241, 234]],
+      ['frames/patch-03-left-ear', [1240, 74, 241, 235]],
+      ['frames/patch-04-right-ear', [1503, 75, 240, 234]],
+      ['frames/patch-05-sneeze-prep', [716, 387, 242, 233]],
+      ['frames/patch-06-sneeze', [973, 387, 252, 233]],
+      ['frames/patch-07-recover', [1241, 387, 240, 233]],
+      ['frames/patch-08-back-to-idle', [1503, 387, 240, 233]],
+    ],
+    // [frame index, milliseconds on screen]; adds up to 7000.
+    timeline: [[0, 2000], [1, 200], [0, 1300], [2, 300], [0, 200], [3, 300], [0, 1000], [4, 300], [5, 400], [6, 600], [7, 400]],
+    animated: 'patch-animated',
+    title: 'Patch, the Space Works mascot, blinking, twitching its ears and doing a sneeze vote',
+  },
+  {
+    sheet: 'patch-walk-sheet.webp',
+    // The ground shadow sits within FAR of the cream, so it is removed with the background and
+    // redrawn as a vector capsule that matches it on cream and stays soft on other surfaces.
+    near: 48,
+    far: 72,
+    align: 'shadow', // frames line up on the ground shadow
+    hero: { box: [647, 193, 467, 344], size: [480, 360], out: 'walk/patch-walk' },
+    frameSize: [256, 176],
+    frames: [
+      ['walk/frames/patch-walk-01', [52, 617, 203, 152]],
+      ['walk/frames/patch-walk-02', [272, 617, 192, 152]],
+      ['walk/frames/patch-walk-03', [474, 617, 201, 152]],
+      ['walk/frames/patch-walk-04', [688, 617, 199, 152]],
+      ['walk/frames/patch-walk-05', [893, 617, 206, 152]],
+      ['walk/frames/patch-walk-06', [1111, 617, 206, 152]],
+      ['walk/frames/patch-walk-07', [1330, 615, 191, 154]],
+      ['walk/frames/patch-walk-08', [1532, 614, 202, 155]],
+    ],
+    timeline: [[0, 120], [1, 120], [2, 120], [3, 120], [4, 120], [5, 120], [6, 120], [7, 120]],
+    animated: 'walk/patch-walk-animated',
+    title: 'Patch, the Space Works mascot, walking with a wrench',
+  },
 ];
-const PAD = 6; // keeps twitch marks and puffs; label text starts further away
-const FRAME_SIZE = 272; // every frame on the same square canvas, badge centred
-const NEAR = 18; // max channel distance from the sheet's cream that counts as background
-const FAR = 44; // beyond this an edge pixel is fully opaque
 
-const { data: src, info } = await sharp(sheet).removeAlpha().raw().toBuffer({ resolveWithObject: true });
+// The ground shadow colour (sampled) expressed as a tint at 20%, so it matches exactly on the sheet's
+// cream and darkens any other surface gently.
+const SHADOW_OPACITY = 0.2;
+
+async function load(sheet) {
+  const { data, info } = await sharp(join(mascot, 'concept', sheet)).removeAlpha().raw().toBuffer({ resolveWithObject: true });
+  return { data, width: info.width, height: info.height };
+}
 
-async function cut([x, y, w, h], pad) {
-  const X = Math.max(0, x - pad), Y = Math.max(0, y - pad);
-  const W = Math.min(info.width - X, w + pad * 2), H = Math.min(info.height - Y, h + pad * 2);
-  const bg = [0, 1, 2].map((c) => src[(Y * info.width + X) * 3 + c]);
+// Cuts one box out of a sheet. Returns RGBA pixels and, for walk pieces, the measured ground shadow.
+function cut(src, [x, y, w, h], near, far, findShadow) {
+  const X = Math.max(0, x - PAD), Y = Math.max(0, y - PAD);
+  const W = Math.min(src.width - X, w + PAD * 2), H = Math.min(src.height - Y, h + PAD * 2);
+  const at = (i, j, c) => src.data[((Y + j) * src.width + X + i) * 3 + c];
+  const bg = [0, 1, 2].map((c) => at(0, 0, c));
   const out = Buffer.alloc(W * H * 4);
   const dist = new Uint8Array(W * H);
   for (let j = 0; j < H; j++) {
     for (let i = 0; i < W; i++) {
-      const s = ((Y + j) * info.width + X + i) * 3, p = j * W + i;
-      dist[p] = Math.max(...[0, 1, 2].map((c) => Math.abs(src[s + c] - bg[c])));
-      for (let c = 0; c < 3; c++) out[p * 4 + c] = src[s + c];
+      const p = j * W + i;
+      dist[p] = Math.max(...[0, 1, 2].map((c) => Math.abs(at(i, j, c) - bg[c])));
+      for (let c = 0; c < 3; c++) out[p * 4 + c] = at(i, j, c);
       out[p * 4 + 3] = 255;
     }
   }
-  // Flood-fill the background from every edge pixel.
+  // Ground shadow: the solid run of wide shadow-toned rows at the bottom of the piece. Scattered
+  // shadow-toned pixels higher up are cream fur, not shadow.
+  let shadow = null;
+  if (findShadow) {
+    const tone = (i, j) => dist[j * W + i] > 25 && dist[j * W + i] < 60;
+    const rows = [];
+    for (let j = 0; j < H; j++) {
+      let n = 0;
+      for (let i = 0; i < W; i++) n += tone(i, j);
+      rows.push(n);
+    }
+    const widest = Math.max(...rows);
+    let y1 = H - 1;
+    while (rows[y1] < widest * 0.3) y1--;
+    let y0 = y1;
+    while (y0 > 0 && rows[y0 - 1] >= widest * 0.3) y0--;
+    const peak = rows.indexOf(widest);
+    let x0 = 0, x1 = W - 1;
+    while (!tone(x0, peak)) x0++;
+    while (!tone(x1, peak)) x1--;
+    const sum = [0, 0, 0];
+    for (let i = x0; i <= x1; i++) for (let c = 0; c < 3; c++) sum[c] += at(i, peak, c);
+    shadow = { x0, x1, y0, y1, rgb: sum.map((v) => v / (x1 - x0 + 1)), bg };
+  }
   const seen = new Uint8Array(W * H), stack = [];
   for (let i = 0; i < W; i++) stack.push(i, (H - 1) * W + i);
   for (let j = 0; j < H; j++) stack.push(j * W, j * W + W - 1);
@@ -59,88 +140,142 @@ async function cut([x, y, w, h], pad) {
     const p = stack.pop();
     if (seen[p]) continue;
     seen[p] = 1;
-    if (dist[p] >= FAR) continue; // artwork: stop here
-    const a = dist[p] <= NEAR ? 0 : (dist[p] - NEAR) / (FAR - NEAR);
+    if (dist[p] >= far) continue; // artwork: stop here
+    const a = dist[p] <= near ? 0 : (dist[p] - near) / (far - near);
     for (let c = 0; c < 3; c++) {
       const v = a ? (out[p * 4 + c] - (1 - a) * bg[c]) / a : 0;
       out[p * 4 + c] = Math.max(0, Math.min(255, Math.round(v)));
     }
     out[p * 4 + 3] = Math.round(a * 255);
-    if (dist[p] > NEAR) continue; // anti-aliased edge: don't spread into the artwork
+    if (dist[p] > near) continue; // anti-aliased edge: don't spread into the artwork
     const i = p % W;
     if (i > 0) stack.push(p - 1);
     if (i < W - 1) stack.push(p + 1);
     if (p >= W) stack.push(p - W);
     if (p < W * (H - 1)) stack.push(p + W);
   }
-  return sharp(out, { raw: { width: W, height: H, channels: 4 } }).png();
+  return { pixels: out, width: W, height: H, shadow };
 }
 
-// Places a cut-out on a square canvas with its Maker Teal badge in the centre, so frames line up
-// even when twitch marks or sneeze puffs make one crop wider than another.
-async function centred(img, size) {
-  const { data, info: i } = await img.raw().toBuffer({ resolveWithObject: true });
-  let x0 = i.width, y0 = i.height, x1 = 0, y1 = 0;
-  for (let p = 0; p < i.width * i.height; p++) {
-    const [r, g, b, a] = data.subarray(p * 4, p * 4 + 4);
+// The point a piece is aligned on: the teal badge's centre, or the shadow's centre and bottom.
+function anchor(piece, align) {
+  if (align === 'shadow') {
+    const s = piece.shadow;
+    return [(s.x0 + s.x1) / 2, s.y1];
+  }
+  let x0 = piece.width, y0 = piece.height, x1 = 0, y1 = 0;
+  for (let p = 0; p < piece.width * piece.height; p++) {
+    const [r, g, b, a] = piece.pixels.subarray(p * 4, p * 4 + 4);
     if (a > 200 && r < 40 && g > 80 && g < 130 && b > 70 && b < 120) {
-      const x = p % i.width, y = (p / i.width) | 0;
+      const x = p % piece.width, y = (p / piece.width) | 0;
       x0 = Math.min(x0, x); x1 = Math.max(x1, x); y0 = Math.min(y0, y); y1 = Math.max(y1, y);
     }
   }
-  const left = Math.round(size / 2 - (x0 + x1) / 2), top = Math.round(size / 2 - (y0 + y1) / 2);
-  const png = await sharp(data, { raw: i }).png().toBuffer();
-  return sharp({ create: { width: size, height: size, channels: 4, background: { r: 0, g: 0, b: 0, alpha: 0 } } })
+  return [(x0 + x1) / 2, (y0 + y1) / 2];
+}
+
+// Places a piece on a transparent canvas so its anchor lands on `target`.
+async function place(piece, [w, h], [ax, ay], [tx, ty]) {
+  const left = Math.round(tx - ax), top = Math.round(ty - ay);
+  if (left < 0 || top < 0 || left + piece.width > w || top + piece.height > h) {
+    throw new Error(`piece does not fit the ${w}x${h} canvas at ${left},${top}`);
+  }
+  const png = await sharp(piece.pixels, { raw: { width: piece.width, height: piece.height, channels: 4 } }).png().toBuffer();
+  const canvas = await sharp({ create: { width: w, height: h, channels: 4, background: { r: 0, g: 0, b: 0, alpha: 0 } } })
     .composite([{ input: png, left, top }])
-    .png({ compressionLevel: 9 });
+    .png()
+    .toBuffer();
+  return { canvas, left, top };
+}
+
+// Traces a canvas to SVG markup (paths only, in canvas units x UPSCALE).
+// The edge is made hard (alpha in or out) after upscaling: soft edge pixels would otherwise be traced
+// as a pale ring around the outline. The renderer anti-aliases the vector edge instead.
+async function trace(canvas, [w, h]) {
+  const { data, info } = await sharp(canvas)
+    .resize(w * UPSCALE, h * UPSCALE, { kernel: 'lanczos3' })
+    .median(3)
+    .raw()
+    .toBuffer({ resolveWithObject: true });
+  for (let p = 3; p < data.length; p += 4) data[p] = data[p] >= 235 ? 255 : 0;
+  const up = await sharp(data, { raw: info }).png().toBuffer();
+  const svg = optimizeSync(await vectorize(up, TRACE));
+  return svg.replace(/^[\s\S]*?<svg[^>]*>/, '').replace(/<\/svg>\s*$/, '');
 }
 
-rmSync(frames, { recursive: true, force: true });
-mkdirSync(frames, { recursive: true });
+function shadowShape(s, left, top) {
+  if (!s) return '';
+  const tint = s.bg.map((b, c) => Math.max(0, Math.min(255, Math.round(b - (b - s.rgb[c]) / SHADOW_OPACITY))));
+  const x = (left + s.x0) * UPSCALE, y = (top + s.y0) * UPSCALE;
+  const w = (s.x1 - s.x0 + 1) * UPSCALE, h = (s.y1 - s.y0 + 1) * UPSCALE;
+  return `<rect x="${x}" y="${y}" width="${w}" height="${h}" rx="${h / 2}" fill="rgb(${tint.join(' ')})" fill-opacity="${SHADOW_OPACITY}"/>`;
+}
 
-await (await centred(await cut(HERO, PAD), 640)).toFile(join(mascot, 'patch.png'));
+const svgDoc = ([w, h], body, title, extra = '') =>
+  `<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ${w * UPSCALE} ${h * UPSCALE}" width="${w}" height="${h}" role="img" aria-labelledby="t"><title id="t">${title}</title>${extra}${body}</svg>\n`;
 
-const framePngs = [];
-for (const { name, box } of FRAMES) {
-  const file = join(frames, `patch-${name}.png`);
-  await (await centred(await cut(box, PAD), FRAME_SIZE)).toFile(file);
-  framePngs.push(file);
+async function writeVector(out, size, body, title) {
+  const svg = svgDoc(size, body, title);
+  writeFileSync(join(mascot, `${out}.svg`), svg);
+  // High-resolution PNG rendered from the vector (4x the nominal size).
+  await sharp(Buffer.from(svg), { density: 72 * UPSCALE }).png({ compressionLevel: 9 }).toFile(join(mascot, `${out}.png`));
+  return svg;
 }
 
-// Animated WebP: one image per timeline step, with its own delay.
-await sharp(TIMELINE.map(([f]) => framePngs[f]), { join: { animated: true } })
-  .webp({ loop: 0, delay: TIMELINE.map(([, ms]) => ms), quality: 92, alphaQuality: 100, effort: 6 })
-  .toFile(join(mascot, 'patch-animated.webp'));
-
-// Animated SVG: the eight frames embedded, each shown on the timeline with CSS (works in <img>).
-const base64 = await Promise.all(
-  framePngs.map(async (f) => (await sharp(f).webp({ quality: 92, alphaQuality: 100 }).toBuffer()).toString('base64')),
-);
-// With step-end timing each stop holds until the next one: 1 where the frame starts, 0 where it ends.
-const keyframes = FRAMES.map((_, f) => {
-  const stops = new Map([[0, 0]]);
-  let t = 0;
-  for (const [frame, ms] of TIMELINE) {
-    if (frame === f) {
-      stops.set(t, 1);
-      if (!stops.has(t + ms)) stops.set(t + ms, 0);
-    }
-    t += ms;
+const only = process.argv[2];
+for (const s of SHEETS.filter((s) => !only || s.sheet.includes(only))) {
+  const frameDir = join(mascot, dirname(s.frames[0][0]));
+  rmSync(frameDir, { recursive: true, force: true });
+  mkdirSync(frameDir, { recursive: true });
+  const src = await load(s.sheet);
+
+  // Hero pose, centred on its canvas.
+  const walk = s.align === 'shadow';
+  const hero = cut(src, s.hero.box, s.near, s.far, walk);
+  const [hw, hh] = s.hero.size;
+  const hp = await place(hero, s.hero.size, [hero.width / 2, hero.height / 2], [hw / 2, hh / 2]);
+  await writeVector(s.hero.out, s.hero.size, shadowShape(hero.shadow, hp.left, hp.top) + (await trace(hp.canvas, s.hero.size)), 'Patch, the Space Works mascot');
+
+  // Frames, aligned on the same anchor so they can be swapped without jumping.
+  const [fw, fh] = s.frameSize;
+  const target = walk ? [fw / 2, fh - PAD - 4] : [fw / 2, fh / 2];
+  const bodies = [];
+  for (const [out, box] of s.frames) {
+    const piece = cut(src, box, s.near, s.far, walk);
+    const placed = await place(piece, s.frameSize, anchor(piece, s.align), target);
+    const body = shadowShape(piece.shadow, placed.left, placed.top) + (await trace(placed.canvas, s.frameSize));
+    await writeVector(out, s.frameSize, body, 'Patch, the Space Works mascot');
+    bodies.push({ out, body });
   }
-  const body = [...stops].map(([ms, o]) => `${+(ms / 70).toFixed(3)}% { opacity: ${o}; }`).join(' ');
-  return `@keyframes patch-f${f} { ${body} }`;
-});
-const svg = `<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ${FRAME_SIZE} ${FRAME_SIZE}" width="${FRAME_SIZE}" height="${FRAME_SIZE}" role="img" aria-labelledby="patch-title">
-  <title id="patch-title">Patch, the Space Works mascot, blinking, twitching its ears and doing a sneeze vote</title>
-  <style>
-    image { opacity: 0; animation: 7s step-end infinite; }
-    ${FRAMES.map((_, f) => `.patch-f${f} { animation-name: patch-f${f}; }`).join('\n    ')}
-    ${keyframes.join('\n    ')}
-    @media (prefers-reduced-motion: reduce) { image { animation: none; } .patch-f0 { opacity: 1; } }
-  </style>
-  ${base64.map((b, f) => `<image class="patch-f${f}" width="${FRAME_SIZE}" height="${FRAME_SIZE}" href="data:image/webp;base64,${b}"/>`).join('\n  ')}
-</svg>
-`;
-writeFileSync(join(mascot, 'patch-animated.svg'), svg);
-
-console.log(`cut-mascot: patch.png, ${FRAMES.length} frames, patch-animated.webp and patch-animated.svg`);
+
+  // Animated SVG: every traced frame, shown on the timeline with CSS visibility steps.
+  const total = s.timeline.reduce((t, [, ms]) => t + ms, 0);
+  const keyframes = bodies.map((_, f) => {
+    const stops = new Map([[0, 'hidden']]);
+    let t = 0;
+    for (const [frame, ms] of s.timeline) {
+      if (frame === f) {
+        stops.set(t, 'visible');
+        if (!stops.has(t + ms)) stops.set(t + ms, 'hidden');
+      }
+      t += ms;
+    }
+    const body = [...stops].map(([ms, v]) => `${+((ms / total) * 100).toFixed(3)}%{visibility:${v}}`).join('');
+    return `@keyframes f${f}{${body}}`;
+  });
+  const style = `<style>.f{visibility:hidden;animation:${total}ms step-end infinite}${bodies
+    .map((_, f) => `.f${f}{animation-name:f${f}}`)
+    .join('')}${keyframes.join('')}@media (prefers-reduced-motion:reduce){.f{animation:none}.f0{visibility:visible}}</style>`;
+  const groups = bodies.map(({ body }, f) => `<g class="f f${f}">${body}</g>`).join('');
+  writeFileSync(join(mascot, `${s.animated}.svg`), svgDoc(s.frameSize, groups, s.title, style));
+
+  // Animated WebP at 2x, from PNGs rendered off the traced frames.
+  const pngs = await Promise.all(
+    s.timeline.map(([f]) => sharp(join(mascot, `${bodies[f].out}.png`)).resize(fw * 2, fh * 2).png().toBuffer()),
+  );
+  await sharp(pngs, { join: { animated: true } })
+    .webp({ loop: 0, delay: s.timeline.map(([, ms]) => ms), quality: 92, alphaQuality: 100, effort: 6 })
+    .toFile(join(mascot, `${s.animated}.webp`));
+
+  console.log(`cut-mascot: ${s.sheet} -> ${s.hero.out}, ${s.frames.length} frames, ${s.animated}`);
+}
diff --git a/site/src/components/MascotGallery.astro b/site/src/components/MascotGallery.astro
index 70e1062..5824fd8 100644
--- a/site/src/components/MascotGallery.astro
+++ b/site/src/components/MascotGallery.astro
@@ -1,23 +1,35 @@
 ---
-// Patch from mascot/: the hero, the animated loop and the concept sheet, then the eight animation frames.
+// Patch from mascot/: the hero, both loops and the concept sheets, then the frames of each loop.
+// Cards preview the light PNG/WebP; the vector SVGs are offered as downloads (some are several MB).
 import { kitUrl } from './kit-url';
 
 const files = [
-  { file: 'patch.png', name: 'Patch', use: 'Hero pose, 640 × 640', surface: 'cream' },
-  { file: 'patch-animated.webp', name: 'Patch, animated', use: '7-second loop, also as SVG', surface: 'white', also: 'patch-animated.svg' },
-  { file: 'patch-animated.webp', name: 'Patch on a light accent', use: 'Sky Blue, Citron or orange', surface: 'sky' },
-  { file: 'concept/patch-concept-sheet.webp', name: 'Concept sheet', use: 'The source of truth', surface: 'cream' },
+  { show: 'patch.png', name: 'Patch', use: 'Hero pose', surface: 'cream', downloads: ['patch.svg', 'patch.png'] },
+  { show: 'patch-animated.webp', name: 'Patch, sneeze loop', use: '7-second loop', surface: 'white', downloads: ['patch-animated.webp', 'patch-animated.svg'] },
+  { show: 'walk/patch-walk.png', name: 'Patch, walking', use: 'On its way', surface: 'cream', downloads: ['walk/patch-walk.svg', 'walk/patch-walk.png'] },
+  { show: 'walk/patch-walk-animated.webp', name: 'Patch, walk cycle', use: '8 frames, 0.96 s', surface: 'sky', downloads: ['walk/patch-walk-animated.webp', 'walk/patch-walk-animated.svg'] },
+  { show: 'concept/patch-concept-sheet.webp', name: 'Concept sheet', use: 'Pose and sneeze loop', surface: 'cream', downloads: ['concept/patch-concept-sheet.webp'] },
+  { show: 'concept/patch-walk-sheet.webp', name: 'Walk sheet', use: 'Walk cycle', surface: 'cream', downloads: ['concept/patch-walk-sheet.webp'] },
 ];
 
-const frames = [
-  ['01-idle', '0.0 s', 'Idle'],
-  ['02-blink', '2.0 s', 'Blink'],
-  ['03-left-ear', '3.5 s', 'Left ear twitch'],
-  ['04-right-ear', '4.0 s', 'Right ear twitch'],
-  ['05-sneeze-prep', '5.3 s', 'Sneeze (prep)'],
-  ['06-sneeze', '5.6 s', 'Sneeze!'],
-  ['07-recover', '6.0 s', 'Recover'],
-  ['08-back-to-idle', '6.6–7.0 s', 'Back to idle'],
+const loops = [
+  {
+    label: 'Sneeze loop frames',
+    frames: [
+      ['frames/patch-01-idle', '0.0 s', 'Idle'],
+      ['frames/patch-02-blink', '2.0 s', 'Blink'],
+      ['frames/patch-03-left-ear', '3.5 s', 'Left ear twitch'],
+      ['frames/patch-04-right-ear', '4.0 s', 'Right ear twitch'],
+      ['frames/patch-05-sneeze-prep', '5.3 s', 'Sneeze (prep)'],
+      ['frames/patch-06-sneeze', '5.6 s', 'Sneeze!'],
+      ['frames/patch-07-recover', '6.0 s', 'Recover'],
+      ['frames/patch-08-back-to-idle', '6.6–7.0 s', 'Back to idle'],
+    ],
+  },
+  {
+    label: 'Walk cycle frames',
+    frames: [1, 2, 3, 4, 5, 6, 7, 8].map((n) => [`walk/frames/patch-walk-0${n}`, `${((n - 1) * 0.12).toFixed(2)} s`, `Step ${n}`]),
+  },
 ];
 const ext = (f: string) => f.split('.').pop()!.toUpperCase();
 ---
@@ -27,7 +39,7 @@ const ext = (f: string) => f.split('.').pop()!.toUpperCase();
     files.map((f) => (
       <figure class="sw-logo">
         <div class={`sw-logo__stage sw-logo__stage--mascot sw-surface--${f.surface}`}>
-          <img src={kitUrl(`mascot/${f.file}`)} alt={`${f.name}, the Space Works mascot`} loading="lazy" />
+          <img src={kitUrl(`mascot/${f.show}`)} alt={`${f.name}, the Space Works mascot`} loading="lazy" />
         </div>
         <figcaption>
           <span>
@@ -35,8 +47,7 @@ const ext = (f: string) => f.split('.').pop()!.toUpperCase();
             <span class="sw-logo__use">{f.use}</span>
           </span>
           <span class="sw-logo__links">
-            <a href={kitUrl(`mascot/${f.file}`)} download>{ext(f.file)}</a>
-            {f.also && <a href={kitUrl(`mascot/${f.also}`)} download>{ext(f.also)}</a>}
+            {f.downloads.map((d) => <a href={kitUrl(`mascot/${d}`)} download>{ext(d)}</a>)}
           </span>
         </figcaption>
       </figure>
@@ -44,16 +55,19 @@ const ext = (f: string) => f.split('.').pop()!.toUpperCase();
   }
 </div>
 
-<div class="sw-frames not-content">
-  {
-    frames.map(([file, time, label]) => (
-      <figure class="sw-frame">
-        <img src={kitUrl(`mascot/frames/patch-${file}.png`)} alt={`Patch, ${label.toLowerCase()}`} loading="lazy" />
-        <figcaption>
-          <strong>{time}</strong>
-          <span>{label}</span>
-        </figcaption>
-      </figure>
-    ))
-  }
-</div>
+{
+  loops.map((loop) => (
+    <div class="sw-frames not-content" aria-label={loop.label}>
+      {loop.frames.map(([file, time, label]) => (
+        <figure class="sw-frame">
+          <img src={kitUrl(`mascot/${file}.png`)} alt={`Patch, ${label.toLowerCase()}`} loading="lazy" />
+          <figcaption>
+            <strong>{time}</strong>
+            <span>{label}</span>
+            <a href={kitUrl(`mascot/${file}.svg`)} download>SVG</a>
+          </figcaption>
+        </figure>
+      ))}
+    </div>
+  ))
+}
diff --git a/site/src/content/docs/brand/mascot.mdx b/site/src/content/docs/brand/mascot.mdx
index e48670a..c8049b0 100644
--- a/site/src/content/docs/brand/mascot.mdx
+++ b/site/src/content/docs/brand/mascot.mdx
@@ -13,20 +13,23 @@ carries a wrench in its mouth, like a dog bringing back a stick: borrow it, use
 <MascotGallery />
 
 Every file is in [`mascot/`](https://github.com/SpaceWorks-HQ/SpaceWorks-Design/tree/main/mascot), cut
-straight out of the approved
-[concept sheet](https://github.com/SpaceWorks-HQ/SpaceWorks-Design/blob/main/mascot/concept/patch-concept-sheet.webp)
-on transparent backgrounds. Nothing was redrawn.
+from the two approved concept sheets
+([pose and sneeze](https://github.com/SpaceWorks-HQ/SpaceWorks-Design/blob/main/mascot/concept/patch-concept-sheet.webp),
+[walk](https://github.com/SpaceWorks-HQ/SpaceWorks-Design/blob/main/mascot/concept/patch-walk-sheet.webp))
+and traced to colour vector SVGs, so Patch stays sharp at any size. The PNGs and WebPs are rendered from
+those vectors.
 
 | File | Use it for | Size |
 |---|---|---|
-| `patch.png` | The hero pose | 640 × 640 |
-| `patch-animated.webp` | The 7-second loop, anywhere an image goes | 272 × 272 |
-| `patch-animated.svg` | The same loop as an SVG, timed with CSS; respects reduced motion | 272 × 272 |
-| `frames/` | The eight frames, for app animation code or a Lottie | 272 × 272 each |
+| `patch.svg` / `.png` | The hero pose | SVG any size; PNG 2560 px |
+| `patch-animated.webp` / `.svg` | The 7-second sneeze loop | WebP 544 px; SVG any size (about 10 MB) |
+| `frames/` | The eight sneeze-loop frames, SVG and PNG | PNG 1088 px |
+| `walk/patch-walk.svg` / `.png` | Patch trotting with the wrench | PNG 1920 × 1440 |
+| `walk/patch-walk-animated.webp` / `.svg` | The walk cycle, 0.96 s per loop | WebP 512 × 352; SVG any size (about 4.5 MB) |
+| `walk/frames/` | The eight walk frames, SVG and PNG | PNG 1024 × 704 |
 
-They're raster at the sheet's own resolution: use the hero up to about 320 px wide and the animation up to
-about 136 px. For bigger or print use, export the original artwork larger, replace the sheet and run
-`node scripts/cut-mascot.mjs` from `site/`.
+Prefer the WebPs in product UI; they're far lighter. Use the SVGs for big moments and print. To rebuild
+everything after replacing a sheet, run `node scripts/cut-mascot.mjs` from `site/`.
 
 ## Why a painted wolf
 
@@ -59,7 +62,8 @@ wrench belong to the artwork; don't reuse them as UI colours.
 
 ## Animation
 
-The concept sheet's 7-second loop, frame by frame. Between moments Patch holds the idle frame.
+The concept sheet's 7-second loop, frame by frame. Between moments Patch holds the idle frame. The walk
+cycle plays its eight frames at 120 ms each.
 
 | Time | Frame |
 |---|---|
@@ -91,11 +95,11 @@ symbol as a combined mark.
 
 ## Keep Patch intact
 
-1. **Don't recolour, filter or redraw** Patch. Use the cut-outs as they are.
+1. **Don't recolour, filter or redraw** Patch. Use these files as they are.
 2. **Don't stretch, skew or mirror** Patch. The coat is asymmetric on purpose.
 3. **Don't add effects** such as shadows, glows, gradients or outlines.
 4. **Don't make Patch fierce.** No bared teeth, angry brows or hunting poses.
-5. **Don't enlarge the files** past the sizes above. Re-export from the original instead.
+5. **Don't scale up the PNGs or WebPs.** Use the SVGs when you need bigger.
 6. **Keep clear space** of a quarter of the badge height on every side.
 7. **Check dark surfaces.** Patch's dark ear rims sit close to Deep Ink; light surfaces and Workshop
    Orange work best.
diff --git a/site/src/content/docs/tokens/using-the-kit.mdx b/site/src/content/docs/tokens/using-the-kit.mdx
index 6ea254e..55e4e4f 100644
--- a/site/src/content/docs/tokens/using-the-kit.mdx
+++ b/site/src/content/docs/tokens/using-the-kit.mdx
@@ -74,7 +74,7 @@ and `dark`. Use it for native apps, Figma plugins or anything that can't read CS
 |---|---|
 | `brand/` | The brand guidelines PDF, all 17 pages as SVG and PNG, the logo sheet and the Figma style record |
 | `logo/` | Ten vector masters with matching 4× PNGs |
-| `mascot/` | [Patch](/brand/mascot/): the hero PNG, the animated WebP and SVG, eight frames and the concept sheet |
+| `mascot/` | [Patch](/brand/mascot/): vector SVGs and PNGs of the hero, the sneeze loop and the walk cycle, every frame, and the concept sheets |
 | `icons/` | The favicon, PNG app icons (16, 32, 180, 192, 512) and the 1200 × 630 social card |
 | `fonts/` | Gilroy and Unbounded web fonts, with licences |
 | `tokens/` | `tokens.css` and `tokens.json` |
diff --git a/site/src/styles/kit.css b/site/src/styles/kit.css
index cae714e..5cb11b9 100644
--- a/site/src/styles/kit.css
+++ b/site/src/styles/kit.css
@@ -104,8 +104,20 @@
   text-align: center;
 }
 .sw-frame img { width: 100%; max-width: 136px; height: auto; }
-.sw-frame figcaption { display: grid; font-size: 0.8125rem; }
+.sw-frame figcaption { display: grid; justify-items: center; gap: 0.15rem; font-size: 0.8125rem; }
 .sw-frame strong { font-weight: 600; }
+/* Same pill as .sw-logo__links, fixed to ink because the frame card is always cream. */
+.sw-frame a {
+  margin-top: 0.35rem;
+  font-size: 0.75rem;
+  font-weight: 600;
+  text-decoration: none;
+  padding: 0.2rem 0.6rem;
+  border-radius: 999px;
+  border: 1px solid rgb(20 44 42 / 0.18);
+  color: var(--sw-ink);
+}
+.sw-frame a:hover { border-color: var(--sw-teal); color: var(--sw-teal); }
 .sw-logo figcaption {
   display: flex;
   justify-content: space-between;