Youtube branding
Skill dasein108/slope-studio/.agent-instructions/skills/youtube-branding
Create a complete YouTube channel brand kit — banner, profile picture, transparent video logo/watermark, plus channel keywords and description — from a channel name + slogan + niche. Use when the user wants to brand or rebrand a YouTube (or other) channel: design/generate a banner, avatar, logo, watermark, or write channel keywords/description. A marketing-guru lego-block; drives the `studio brand` CLI (real images via Nano Banana).From its SKILL.md
npx -y skills add dasein108/slope-studio --skill youtube-brandingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
3 things to look at
- reads credentialsReads from 2 credential sources: `.env` and 1 more.
- 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
- runs commandsInstructs the agent to run 8 commands, including `cd /Users/dasein/dev/slope-studio` and 7 more.
SKILL.md
5.6 KB, ~1.4k tokens by cl100k_base, as published. Nobody here has run it
youtube-branding
The channel-identity lego-block of the marketing-guru family. Before you ideate
and deploy videos (marketing-ideate → marketing-deploy), a channel needs a face:
this skill turns a name + slogan + niche into a full, upload-ready brand kit.
| Asset | Size | YouTube use |
|---|---|---|
banner.png | 2560×1440 | Channel banner (art + exact wordmark in the safe area) |
profile.png | 1024×1024 | Channel profile picture / avatar |
logo.png | 1024² transparent | Branding master (transparent PNG) |
logo_512.png | 512² transparent | Watermark to overlay ON videos |
brand.md | — | Channel keywords + description (copy-paste) |
Where it sits in the growth loop (see marketing-guru):
[ youtube-branding ] → IDEATE → BACKLOG → DEPLOY → MEASURE → LEARN
(channel setup, (what to make & how it does, per channel)
once / on rebrand)
How it works — division of labour
The mechanical pipeline lives in the studio package (studio/marketing/brand.py)
and is driven by the studio brand <spec.json> CLI command. It:
- requests the art text-free from Nano Banana, then Pillow-overlays the wordmark in YouTube's safe area (never trust the image model to spell),
- cuts the logo to transparency with rembg, and cover-crops to upload sizes.
You (the agent) author the brand identity — palette, emblem concept, banner scene — into a brand-spec JSON. That creative judgement is the whole job; the CLI is just I/O.
Workflow
0. Setup (once)
cd /Users/dasein/dev/slope-studio
source .venv/bin/activate 2>/dev/null || { uv venv && source .venv/bin/activate && uv pip install -e ".[fal]"; }
grep -q FAL_KEY .env && echo "FAL_KEY ok" || echo "MISSING FAL_KEY — set it in .env (needed for real art)"
1. Gather inputs
You need: channel name, slogan, and the niche/aesthetic. If the aesthetic is unstated, infer one from the niche (don't over-ask) — pick a palette + a single repeatable motif/emblem that ties avatar↔logo.
2. Author a brand-spec JSON
Copy example-spec.json and rewrite every field. Rules that make
the output good:
styleis appended to all three prompts and MUST end withno text, no letters, no words— the wordmark is added later by Pillow, so the art must be clean.logo_prompt→ a flat, simple, iconic emblem on a plain solid background (rembg cuts that background out). Keep it legible at watermark size — few elements.profile_prompt→ the same motif, centered, filling the square, readable when tiny.banner_prompt→ wide 16:9 cinematic art with empty negative space across the centre (push detail to the left/right edges) so the wordmark has room.palette→primary(deep bg),accent(title glow + rule),highlight(slogan),text(title fill), each[r,g,b].name/sloganare the exact wordmark text;keywords/descriptionare the channel copy.slugis the output folder underruns/_brand/.
3. (optional, free) Dry-run the wiring
# validates the spec + full Pillow/rembg pipeline with offline placeholder art, $0.
# ⚠ writes to runs/_brand/<slug>/ and OVERWRITES — set a THROWAWAY "slug" for the test.
studio brand myspec.json --provider stub
4. Generate the real kit (~$0.12)
studio brand myspec.json
Three Nano Banana stills @ $0.039 = ~$0.117. Output lands in runs/_brand/<slug>/.
5. Eyeball every asset and iterate
Always view banner.png, profile.png, logo.png — verify:
- banner wordmark is centered, legible, not colliding with busy art;
- logo cut is clean (no halo) and transparent (
logo.pngcorner alpha = 0); - the motif is the same emblem on logo and profile.
Re-roll a weak asset by tweaking its prompt in the spec and re-running (a full run
re-rolls all three stills; accept the small re-spend, or dry-run with stub first).
6. Deliver
Report the asset paths, the keywords, and the description, and where each goes on YouTube (banner / picture / Settings→Basic info). Offer the video watermark overlay:
# overlay logo_512.png bottom-right at ~10% width on a finished video
ffmpeg -i in.mp4 -i runs/_brand/<slug>/logo_512.png -filter_complex \
"[1]scale=iw*0.10:-1[wm];[0][wm]overlay=W-w-40:H-h-40" -c:a copy out.mp4
Notes & gotchas
- Never bake channel text into the AI image — image models misspell.
name/sloganare always Pillow-overlaid; that's whystylemust forbid text. - Custom banner/profile upload anytime; a custom video thumbnail (different thing,
see film-maker
studio thumbnail) needs a verified YouTube channel. - Logo background removal is rembg (already a dep) — it cuts a clear foreground subject
from a plain background, so author
logo_promptwith a clean subject on a flat bg. - Fonts auto-pick the boldest macOS face (Avenir Next Condensed / Futura / Helvetica), with graceful fallback.
- This makes static brand art, not video. Produce videos with
film-maker; decide what to post and run the loop withmarketing-guru.
What ships with it: 2 files
2.9 KB alongside SKILL.md, 1 of them executable
- example-spec.json2.3 KB
- make_brand.pyruns657 B
Gives 0 of the 12 instructions most marketing audience skills give in ~1.4k tokens
Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07
- Apply Poppins font to headingsin 41 of 690, across 6 files
- Apply Lora font to body textin 41 of 690, across 6 files
- Use Arial fallback for headingsin 39 of 690, across 4 files
- Use Georgia fallback for body textin 39 of 690, across 4 files
- Maintain text hierarchy and formattingin 39 of 690, across 4 files
- Use accent colors for non-text shapesin 38 of 690, across 3 files
- Use RGB values for precise color matchingin 38 of 690, across 3 files
- Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
- Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
- Use active voice instead of passive voicein 26 of 690, across 10 files
- Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
- Prioritize clarity over clevernessin 22 of 690, across 8 files
Said here and by no other author read
- gather channel name slogan and niche
- infer unstated aesthetic from niche
- author a brand-spec JSON
- end style field with no text phrase
- keep logo prompt flat and simple
- add empty negative space to banner prompt
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.