brand: meet Pip, the courier bird (#132)

* docs: add mascot & brand design spec (Pip the courier bird)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs: Pip wears a tie - update mascot spec to v5 flight loop

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs: add Pip brand PR implementation plan

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs(plan): v7 master GIF - drop frame scaling, add enclosed-hole transparency

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs(plan): v8 master GIF - fix hole classification (chest stays opaque)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs(plan): scrub stale v5 references

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs(plan): v10 master GIF - line-fitted envelope border clipping

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs(plan): label pipeline as v10

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs(plan): v16 master GIF - targeted removal of gap blob

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs(plan): v17 master GIF - drop envelope border clipping, keep blob removal

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs(plan): v19 final master GIF - user-approved thin outline repair

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(brand): add Pip mascot assets and regeneration pipeline

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(brand): Pip takes over the README header

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* docs(spec): scrub stale scaling line

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* feat(brand): avatar, social card, and mascot sources (PNG allowlist)

The global *.png personal-data rule silently excluded the mascot's source
sheets and generated PNGs; allowlist the upstream-controlled assets/mascot/
paths without weakening the fork-protecting rule.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Mads Lorentzen
2026-07-12 10:21:36 +02:00
committed by GitHub
co-authored by Claude Fable 5
parent 8bee3ddb97
commit 09f0417d78
17 changed files with 1042 additions and 1 deletions
@@ -0,0 +1,598 @@
# Pip Brand PR Implementation Plan
> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
**Goal:** Ship the Pip mascot as the repo's brand: README header GIF, versioned brand assets, social preview card, and avatar, per `docs/superpowers/specs/2026-07-11-mascot-brand-design.md`.
**Architecture:** All brand assets live in `assets/mascot/` with their source sheets and regeneration scripts. The README references one stable filename (`pip_flight_loop.gif`) so future mascot iterations never touch the README again. A stdlib-only unit test permanently guards against broken local image references in the README.
**Tech Stack:** Python 3 (Pillow + numpy + scipy for asset generation, stdlib only for the committed test), git, gh CLI.
## Global Constraints
- Palette is exactly 7 colors: `#2a9d8f` `#1f6f65` `#e76f51` `#969ba0` `#ffffff` `#e63946` `#22333b` (tie shares `#22333b`)
- README-rendered GIF stays under 50 KB (current master: 30,138 bytes)
- Alt text for the mascot is exactly: `Pip, the courier bird`
- No text, logos, or tooling motifs inside the sprite itself
- The committed test must be stdlib-only (CI does not install Pillow)
- CI must stay green: `python -m unittest discover` and `python tools/lint_skills.py` pass after every task
- Work happens on the existing `brand/mascot-pip` branch (spec is already committed there)
- Source-of-truth files on this machine:
- Master GIF: `C:\Users\Bruger\Desktop\mascot_candidates\courier_flight_loop_v19_tie.gif` (v19 = FINAL, user-approved: v8 white handling + blob removal with protected shell + thin outline repaint; v5-v18 and v20-v21 superseded)
- ChatGPT tie sheet: `C:\Users\Bruger\Downloads\ChatGPT Image 12. jul. 2026, 06.30.48.png`
- Gemini sheet: `C:\Users\Bruger\Downloads\Gemini_Generated_Image_azwqj6azwqj6azwq (1).png`
- Retired flat sprites: `C:\Users\Bruger\Desktop\mascot_candidates\{A_standing_courier,B_flying_delivery,C_envelope_hugger}.png`
- Assembly script: full v19 pipeline code reproduced in Task 1 Step 4
---
### Task 1: Repo hygiene and brand assets in place
**Files:**
- Modify: `.gitignore` (append one block at end)
- Create: `assets/mascot/pip_flight_loop.gif` (copy of courier_flight_loop_v19_tie.gif)
- Create: `assets/mascot/sources/chatgpt_tie_sheet.png`
- Create: `assets/mascot/sources/gemini_sheet.png`
- Create: `assets/mascot/reference/{A_standing_courier,B_flying_delivery,C_envelope_hugger}.png`
- Create: `assets/mascot/assemble_flight_loop.py`
- Create: `assets/mascot/README.md`
**Interfaces:**
- Produces: `assets/mascot/pip_flight_loop.gif` — the stable path Task 2's README edit and Task 3's generator consume.
- [ ] **Step 1: Add `.superpowers/` to .gitignore**
Append to the end of `.gitignore`:
```gitignore
# Brainstorm mockups (superpowers visual companion) - never ship
.superpowers/
```
- [ ] **Step 2: Verify the ignore rule works**
Run: `git check-ignore -v .superpowers/foo.html`
Expected: prints a line ending in `.superpowers/` — exit code 0
- [ ] **Step 3: Copy assets into place**
```bash
cd "C:/Users/Bruger/Desktop/github_local/ai-job-search"
mkdir -p assets/mascot/sources assets/mascot/reference
cp "C:/Users/Bruger/Desktop/mascot_candidates/courier_flight_loop_v19_tie.gif" assets/mascot/pip_flight_loop.gif
cp "C:/Users/Bruger/Downloads/ChatGPT Image 12. jul. 2026, 06.30.48.png" assets/mascot/sources/chatgpt_tie_sheet.png
cp "C:/Users/Bruger/Downloads/Gemini_Generated_Image_azwqj6azwqj6azwq (1).png" assets/mascot/sources/gemini_sheet.png
cp "C:/Users/Bruger/Desktop/mascot_candidates/A_standing_courier.png" assets/mascot/reference/
cp "C:/Users/Bruger/Desktop/mascot_candidates/B_flying_delivery.png" assets/mascot/reference/
cp "C:/Users/Bruger/Desktop/mascot_candidates/C_envelope_hugger.png" assets/mascot/reference/
```
- [ ] **Step 4: Create `assets/mascot/assemble_flight_loop.py`**
Full script (the session's v19 pipeline with repo-relative paths):
```python
"""Regenerate pip_flight_loop.gif from sources/chatgpt_tie_sheet.png.
Pipeline: 2D-cluster the sheet into 6 birds, snap every pixel to the 7-color
brand palette, order frames by wing centroid (no per-frame rescaling),
anchor on the beak, flood-fill edge-connected background to transparent.
Requires: pillow, numpy, scipy (maintainer tooling; not needed by CI).
"""
from pathlib import Path
from PIL import Image
import numpy as np
from scipy import ndimage
HERE = Path(__file__).parent
SHEET = HERE / "sources" / "chatgpt_tie_sheet.png"
OUT_GIF = HERE / "pip_flight_loop.gif"
PAL = np.array([
(42, 157, 143), (31, 111, 101), (231, 111, 81), (150, 155, 160),
(255, 255, 255), (230, 57, 70), (34, 51, 59),
], dtype=int)
TRANSPARENT = 7
CANVAS = 560
im = Image.open(SHEET).convert("RGB")
a_full = np.asarray(im).astype(int)
nonwhite_full = (a_full < 245).any(axis=2)
# 2D clustering: dilate to glue beak tips, label, keep 6 largest, sort by x
dil = ndimage.binary_dilation(nonwhite_full, iterations=2)
lab2, n2 = ndimage.label(dil)
sizes = ndimage.sum(dil, lab2, range(1, n2 + 1))
keep = np.argsort(sizes)[::-1][:6] + 1
comps = []
for k in keep:
mask = (lab2 == k) & nonwhite_full
ys, xs = np.where(mask)
comps.append(dict(mask=mask, x0=xs.min(), x1=xs.max(), y0=ys.min(), y1=ys.max(), cx=xs.mean()))
comps.sort(key=lambda d: d["cx"])
assert len(comps) == 6, f"expected 6 birds, found {len(comps)}"
def snap(arr):
d = ((arr[:, :, None, :] - PAL[None, None, :, :]) ** 2).sum(-1)
return PAL[d.argmin(-1)].astype(np.uint8)
cells = []
for comp in comps:
pad = 8
y0, y1 = max(0, comp["y0"] - pad), comp["y1"] + pad
x0, x1 = max(0, comp["x0"] - pad), comp["x1"] + pad
sub = a_full[y0:y1, x0:x1].copy()
submask = comp["mask"][y0:y1, x0:x1]
sub[~submask] = (255, 255, 255)
cells.append(snap(sub))
def color_mask(arr, ci, tol=10):
return np.abs(arr.astype(int) - PAL[ci]).sum(-1) < tol
infos = []
for i, c in enumerate(cells):
coral = color_mask(c, 2)
lab, n = ndimage.label(coral)
best, besty = None, 10 ** 9
for k in range(1, n + 1):
ys, xs = np.where(lab == k)
if len(ys) < 80:
continue
if ys.mean() < besty:
besty, best = ys.mean(), (xs, ys)
bx, by = best[0].mean(), best[1].mean()
dteal = color_mask(c, 1)
wing_c = float(np.where(dteal)[0].mean()) if dteal.sum() else by
infos.append(dict(i=i, beak=(bx, by), area=len(best[0]), wing_c=wing_c))
for d_ in infos:
# birds in the sheet are size-consistent (within 5%); rescaling by noisy
# beak measurements caused a visible zoom pulse in an earlier build
d_["scale"] = 1.0
d_["wing_rel"] = d_["wing_c"] - d_["beak"][1]
order_sorted = sorted(infos, key=lambda d: d["wing_rel"])
seq = [order_sorted[0], order_sorted[2], order_sorted[4], order_sorted[5], order_sorted[3], order_sorted[1]]
p_frames = []
for d_ in seq:
c = cells[d_["i"]]
h, w = c.shape[:2]
sc = d_["scale"]
c2 = np.asarray(Image.fromarray(c).resize((int(w * sc), int(h * sc)), Image.NEAREST))
beak = (d_["beak"][0] * sc, d_["beak"][1] * sc)
canvas = np.full((CANVAS, CANVAS, 3), 255, dtype=np.uint8)
tx, ty = int(CANVAS * 0.72), int(CANVAS * 0.38)
px, py = int(tx - beak[0]), int(ty - beak[1])
H2, W2 = c2.shape[:2]
x0, y0 = max(0, px), max(0, py)
x1, y1 = min(CANVAS, px + W2), min(CANVAS, py + H2)
canvas[y0:y1, x0:x1] = c2[y0 - py:y0 - py + (y1 - y0), x0 - px:x0 - px + (x1 - x0)]
nonwhite = (canvas < 250).any(axis=2)
lab, n = ndimage.label(nonwhite)
for k in range(1, n + 1):
ys, xs = np.where(lab == k)
cols = canvas[ys, xs].astype(int)
is_gray = (np.abs(cols - PAL[3]).sum(-1) < 60).mean() > 0.6
if len(ys) < 400 and ys.mean() < 300 and is_gray:
canvas[ys, xs] = (255, 255, 255)
nonwhite[ys, xs] = False
d2 = ((canvas.astype(int)[:, :, None, :] - PAL[None, None, :, :]) ** 2).sum(-1)
idx = d2.argmin(-1).astype(np.uint8)
white = ~nonwhite
wlab, wn = ndimage.label(white)
border = set(wlab[0, :]) | set(wlab[-1, :]) | set(wlab[:, 0]) | set(wlab[:, -1])
border.discard(0)
idx[np.isin(wlab, list(border))] = TRANSPARENT
# enclosed white pockets: classify by boundary composition. The chest patch
# always borders light teal (body interior); the envelope face is >=70%
# gray/red; true background pockets (between legs, body-envelope gap) are
# neither. NOTE: do not use outline/dark-teal ratios here - anti-aliased
# white-to-outline edges quantize to gray and poison those ratios.
for wl in range(1, wn + 1):
if wl in border:
continue
comp = wlab == wl
ring = ndimage.binary_dilation(comp, iterations=2) & ~comp & nonwhite
ridx = idx[ring]
if len(ridx) == 0:
continue
teal = (ridx == 0).sum() / len(ridx) # light teal only
envelope = np.isin(ridx, [3, 5]).sum() / len(ridx) # gray, red
if teal >= 0.08:
continue # chest: real content
if envelope >= 0.70:
continue # envelope face: real content, keep whole. (A border-clip
# was tried here to split merged face+gap components; it misfit
# tilted envelopes and bit into the face. The merged white reads
# fine as-is - do not reintroduce clipping.)
idx[comp] = TRANSPARENT
# targeted art cleanup: the source sheet has one large outlined teal blob
# (a vestigial appendage) drawn into the body-envelope gap of one frame.
# Only fragments >=100px qualify - smaller teal fragments are legitimate
# pixel-art texture, and generic cleanup rules damage the tie and feet.
bird_mask = np.isin(idx, [0, 1])
blab, bn = ndimage.label(bird_mask)
if bn > 1:
bsizes = ndimage.sum(bird_mask, blab, range(1, bn + 1))
bmain = int(np.argmax(bsizes)) + 1
gray_mask = idx == 3
glab, gn = ndimage.label(gray_mask)
a_fit, b_fit = 0.0, 10 ** 6
if gn:
gsizes = ndimage.sum(gray_mask, glab, range(1, gn + 1))
env_gray = glab == (int(np.argmax(gsizes)) + 1)
cols = np.where(env_gray.any(axis=0))[0]
tops = env_gray.argmax(axis=0)[cols].astype(float)
med = np.median(tops)
good = np.abs(tops - med) <= 20
if good.sum() >= 10:
a_fit, b_fit = np.polyfit(cols[good], tops[good], 1)
else:
a_fit, b_fit = 0.0, med
for bk in range(1, bn + 1):
if bk == bmain or not (100 <= bsizes[bk - 1] < 600):
continue
ys3, xs3 = np.where(blab == bk)
cy, cx = ys3.mean(), xs3.mean()
border_here = a_fit * cx + b_fit
if not (border_here - 55 <= cy < border_here):
continue
fmask = blab == bk
ring = ndimage.binary_dilation(fmask, iterations=2) & ~fmask
if not ring.any() or (idx[ring] == 6).mean() < 0.40:
continue
# erase the blob's own outline ring, but protect outline pixels
# that belong to the body, chest, tie, or feet (anything near the
# main structures) - an unprotected shell bit the body outline
protected = ndimage.binary_dilation(
(blab == bmain) | (idx == 4) | (idx == 2), iterations=2)
shell = ndimage.binary_dilation(fmask, iterations=3) & (idx == 6) & ~protected
erased = fmask | shell
idx[fmask] = TRANSPARENT
idx[shell] = TRANSPARENT
# repair: the blob's boundary doubled as the local body outline, so
# erasing it exposes bare chest white to the background. Repaint the
# exposed content edge (white/teal within the wound area, near the
# new transparency) as outline so the bird's underside stays closed.
near_wound = ndimage.binary_dilation(erased, iterations=6)
transp = idx == TRANSPARENT
near_gap = ndimage.binary_dilation(transp, iterations=6)
repaint = near_wound & near_gap & np.isin(idx, [0, 1, 4])
idx[repaint] = 6
p = Image.fromarray(idx, mode="P")
palette = PAL.astype(np.uint8).flatten().tolist() + [255, 0, 255]
p.putpalette(palette + [0] * (768 - len(palette)))
p.info["transparency"] = TRANSPARENT
p_frames.append(p)
p_frames[0].save(OUT_GIF, save_all=True, append_images=p_frames[1:],
duration=110, loop=0, disposal=2, transparency=TRANSPARENT, optimize=False)
print(f"wrote {OUT_GIF} ({OUT_GIF.stat().st_size} bytes)")
assert OUT_GIF.stat().st_size < 50_000, "README asset must stay under 50 KB"
```
- [ ] **Step 5: Create `assets/mascot/README.md`**
```markdown
# Pip, the courier bird
Brand assets for the project mascot. Design spec:
[`docs/superpowers/specs/2026-07-11-mascot-brand-design.md`](../../docs/superpowers/specs/2026-07-11-mascot-brand-design.md).
| File | Purpose |
|---|---|
| `pip_flight_loop.gif` | The animated brand mark (README header). 6 frames, transparent, <50 KB. |
| `pip_avatar.png` | Static square avatar (repo/social use). |
| `social_preview.png` | 1280x640 card for GitHub Settings -> Social preview. |
| `sources/` | AI-generated sprite sheets the frames were cut from. |
| `reference/` | Retired flat-style sprites, kept as palette reference. |
| `assemble_flight_loop.py` | Regenerates the GIF from the tie sheet (pillow+numpy+scipy). |
| `make_brand_assets.py` | Regenerates avatar + social card from the GIF (pillow). |
Palette (exactly 7 colors): `#2a9d8f` `#1f6f65` `#e76f51` `#969ba0` `#ffffff` `#e63946` `#22333b`.
The sprite never carries text or logos. Alt text is always "Pip, the courier bird".
```
- [ ] **Step 6: Verify the regeneration script reproduces the GIF**
Run: `cd assets/mascot && python assemble_flight_loop.py`
Expected: `wrote ...pip_flight_loop.gif (~30000 bytes)`, no assertion error. Then run `git diff --stat assets/mascot/pip_flight_loop.gif` — if the file changed byte-wise but a re-run is stable, that is fine (the copy in Step 3 and the regenerated file must simply both be valid; keep the regenerated one).
- [ ] **Step 7: Run the existing suite (nothing should break)**
Run: `python -m unittest discover && python tools/lint_skills.py`
Expected: `OK` and `lint_skills: OK`
- [ ] **Step 8: Commit**
```bash
git add .gitignore assets/
git commit -m "feat(brand): add Pip mascot assets and regeneration pipeline"
```
---
### Task 2: README header swap + permanent image-reference guard
**Files:**
- Create: `tests/test_readme_assets.py`
- Modify: `README.md:1-3`
- Delete: `claude_animation.gif`
**Interfaces:**
- Consumes: `assets/mascot/pip_flight_loop.gif` from Task 1.
- Produces: nothing downstream; the test becomes a permanent CI guard.
- [ ] **Step 1: Write the guard test**
Create `tests/test_readme_assets.py` (stdlib only — CI installs no packages):
```python
"""Every local image referenced by README.md must exist in the repo.
A broken header image on the repo landing page is a silent, high-visibility
failure; this guard turns it into a red CI run instead.
"""
import re
import unittest
from pathlib import Path
REPO = Path(__file__).resolve().parent.parent
README = REPO / "README.md"
IMG_SRC = re.compile(r'<img[^>]+src="([^"]+)"')
MD_IMG = re.compile(r"!\[[^\]]*\]\(([^)\s]+)")
class ReadmeImageReferences(unittest.TestCase):
def _local_refs(self):
text = README.read_text(encoding="utf-8")
refs = IMG_SRC.findall(text) + MD_IMG.findall(text)
return [r for r in refs if not r.startswith(("http://", "https://"))]
def test_readme_exists_and_references_at_least_one_local_image(self):
refs = self._local_refs()
self.assertGreaterEqual(len(refs), 1, "README lost its mascot header image")
def test_all_local_image_references_resolve(self):
for ref in self._local_refs():
with self.subTest(ref=ref):
self.assertTrue((REPO / ref).is_file(), f"README references missing file: {ref}")
if __name__ == "__main__":
unittest.main()
```
- [ ] **Step 2: Run it — it must pass against the CURRENT README (claude_animation.gif still exists)**
Run: `python -m unittest tests.test_readme_assets -v`
Expected: 2 tests PASS (this proves the test works before the swap; it will catch a bad path after the swap)
- [ ] **Step 3: Swap the README header**
In `README.md`, replace exactly:
```html
<img src="claude_animation.gif" alt="AI Job Search Assistant" width="200">
```
with:
```html
<img src="assets/mascot/pip_flight_loop.gif" alt="Pip, the courier bird" width="200">
```
- [ ] **Step 4: Delete the old placeholder GIF**
Run: `git rm claude_animation.gif`
- [ ] **Step 5: Confirm no stale references remain**
Run: `grep -rn "claude_animation" --include="*.md" --include="*.yml" --include="*.tex" .`
Expected: no matches (the only reference was README.md line 2)
- [ ] **Step 6: Re-run the guard test — now validating the NEW path**
Run: `python -m unittest tests.test_readme_assets -v`
Expected: 2 tests PASS. (If Step 3's path had a typo, this fails — that is the guard working.)
- [ ] **Step 7: Full suite + lint**
Run: `python -m unittest discover && python tools/lint_skills.py`
Expected: all pass
- [ ] **Step 8: Commit**
```bash
git add README.md tests/test_readme_assets.py
git commit -m "feat(brand): Pip takes over the README header"
```
---
### Task 3: Avatar and social preview card generator
**Files:**
- Create: `assets/mascot/make_brand_assets.py`
- Create: `assets/mascot/pip_avatar.png` (generated)
- Create: `assets/mascot/social_preview.png` (generated)
**Interfaces:**
- Consumes: `assets/mascot/pip_flight_loop.gif` from Task 1.
- Produces: `pip_avatar.png` (512x512 RGBA) and `social_preview.png` (1280x640 RGB) for the manual upload steps in Task 4.
- [ ] **Step 1: Write the generator**
Create `assets/mascot/make_brand_assets.py`:
```python
"""Generate pip_avatar.png (512x512) and social_preview.png (1280x640)
from pip_flight_loop.gif. Requires pillow (maintainer tooling, not CI).
Layout rule for the card (the old draft's bug was text/mascot overlap):
mascot occupies x < 500; text starts at x = 540; an assertion enforces
that the widest text line fits inside the canvas.
"""
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont
HERE = Path(__file__).parent
GIF = HERE / "pip_flight_loop.gif"
INK = (34, 51, 59) # 22333b
GRAY = (120, 126, 133)
SEAL = (230, 57, 70) # e63946
WORDMARK = "ai-job-search"
TAGLINE = "job search that runs on your machine"
def best_frame(gif_path, frame_index=0):
g = Image.open(gif_path)
g.seek(frame_index)
return g.convert("RGBA")
def find_font(size):
candidates = [
r"C:\Windows\Fonts\consolab.ttf", # Consolas Bold
r"C:\Windows\Fonts\consola.ttf",
"/usr/share/fonts/truetype/dejavu/DejaVuSansMono-Bold.ttf",
]
for c in candidates:
if Path(c).exists():
return ImageFont.truetype(c, size)
return ImageFont.load_default()
def make_avatar():
frame = best_frame(GIF, 0) # first frame: wing raised, reads best square
bbox = frame.getbbox()
crop = frame.crop(bbox)
side = max(crop.size) + 60
canvas = Image.new("RGBA", (side, side), (0, 0, 0, 0))
canvas.paste(crop, ((side - crop.width) // 2, (side - crop.height) // 2), crop)
canvas = canvas.resize((512, 512), Image.NEAREST)
out = HERE / "pip_avatar.png"
canvas.save(out)
print(f"wrote {out}")
def make_card():
W, H = 1280, 640
card = Image.new("RGB", (W, H), (255, 255, 255))
draw = ImageDraw.Draw(card)
frame = best_frame(GIF, 0)
bbox = frame.getbbox()
crop = frame.crop(bbox)
target_h = 420
scale = target_h / crop.height
crop = crop.resize((int(crop.width * scale), target_h), Image.NEAREST)
mascot_x = 90
assert mascot_x + crop.width <= 500, "mascot must stay left of x=500"
card.paste(crop, (mascot_x, (H - crop.height) // 2), crop)
f_big = find_font(72)
f_small = find_font(32)
tx = 540
draw.text((tx, 240), WORDMARK, font=f_big, fill=INK)
wm_w = draw.textlength(WORDMARK, font=f_big)
tag_w = draw.textlength(TAGLINE, font=f_small)
assert tx + max(wm_w, tag_w) <= W - 40, "text overflows card"
draw.text((tx, 340), TAGLINE, font=f_small, fill=GRAY)
# seal-red accent: small dot echoing the envelope seal
draw.ellipse((tx + 2, 402, tx + 22, 422), fill=SEAL)
draw.text((tx + 34, 400), "free & open source", font=f_small, fill=GRAY)
out = HERE / "social_preview.png"
card.save(out)
print(f"wrote {out}")
if __name__ == "__main__":
make_avatar()
make_card()
```
- [ ] **Step 2: Run it**
Run: `cd assets/mascot && python make_brand_assets.py`
Expected: `wrote ...pip_avatar.png` and `wrote ...social_preview.png`, no assertion errors
- [ ] **Step 3: Visually inspect both outputs**
Read `assets/mascot/pip_avatar.png` and `assets/mascot/social_preview.png` with the Read tool.
Check: avatar is centered with clear margins, transparent corners; card has no mascot/text overlap, wordmark and tagline legible, seal-red dot present. Iterate on coordinates if anything overlaps — the assertions catch overflow, only aesthetics need eyes.
- [ ] **Step 4: Full suite + lint**
Run: `python -m unittest discover && python tools/lint_skills.py`
Expected: all pass
- [ ] **Step 5: Commit**
```bash
git add assets/mascot/make_brand_assets.py assets/mascot/pip_avatar.png assets/mascot/social_preview.png
git commit -m "feat(brand): generate Pip avatar and social preview card"
```
---
### Task 4: Final verification, push, and PR
**Files:**
- No file changes; verification, push, PR creation, and documented manual steps.
**Interfaces:**
- Consumes: all commits on `brand/mascot-pip` from Tasks 1-3 plus the two spec commits already on the branch.
- [ ] **Step 1: Full local verification**
Run: `python -m unittest discover -v && python tools/lint_skills.py && python tools/security_guards.py`
Expected: all green (security guards must pass — this PR touches .gitignore, which the guard inspects)
- [ ] **Step 2: Review the full diff**
Run: `git diff master...brand/mascot-pip --stat`
Expected: spec + plan docs, .gitignore (+2 lines), assets/mascot/* added, README.md (1 line changed), claude_animation.gif deleted, tests/test_readme_assets.py added. Nothing else.
- [ ] **Step 3: Push and open the PR**
```bash
git push -u origin brand/mascot-pip
gh pr create --title "brand: meet Pip, the courier bird" --body "$(cat <<'EOF'
Replaces the placeholder header animation with the project's own mascot: **Pip**, a pixel-art courier bird delivering your applications (now with a tie - dressed for the interviews it books you).
- README header: transparent 6-frame flight loop, 30 KB, renders on light and dark themes
- assets/mascot/: master GIF, source sheets, retired palette-reference sprites, and the full regeneration pipeline (palette-snap to exactly 7 brand colors, beak-anchored alignment, measured flap-cycle ordering)
- tests/test_readme_assets.py: stdlib-only CI guard - every local image the README references must exist
- .gitignore: excludes .superpowers/ brainstorm artifacts
- Design spec included: docs/superpowers/specs/2026-07-11-mascot-brand-design.md
No behavior changes to any skill, command, or CLI.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
EOF
)"
```
Expected: PR URL printed. Wait for CI to pass before merging.
- [ ] **Step 4: Document the two manual steps for the maintainer**
These cannot be done via git and are Mads-manual:
1. **Social preview:** GitHub repo → Settings → General → Social preview → upload `assets/mascot/social_preview.png`
2. **Avatar (optional):** use `assets/mascot/pip_avatar.png` wherever a square mark is needed (e.g. a future org account; personal GitHub avatar stays personal)
- [ ] **Step 5: After merge (separate, do not merge unilaterally)**
Merging the PR is the maintainer's call in this repo's normal flow. After merge, verify the rendered README on github.com in both light and dark themes, then delete the local `brand/mascot-pip` branch.
---
## Self-Review (completed)
- **Spec coverage:** palette lock (Task 1 script + assets README), flight-loop GIF as README header with correct alt text (Task 2), social card with wordmark + tagline (Task 3), avatar (Task 3), seal-red echo (Task 3 card dot), `.superpowers/` gitignore (Task 1), `assets/mascot/` layout with sources/reference/scripts (Task 1), <50 KB budget (Task 1 assertion), both-themes render check (Task 4 Step 5). Out-of-scope items (pose redraws, Ko-fi copy, donation execution) correctly absent.
- **Placeholder scan:** no TBDs; all code complete.
- **Type consistency:** `pip_flight_loop.gif` path is identical across Tasks 1, 2, 3; palette constants match the spec hexes.