logo-maker
SkillMonitoring & opsBrand mark / wordmark / logo generator. Default ideogram-3-quality for clean embedded text (gpt-image-2 fallback). Six presets: wordmark, minimal, illustrated, typographic, geometric, emblem. Optional palette hint. N variants per call. Use when: 'logo', 'brand mark', 'wordmark', 'логотип', 'эмблема', 'фирменный знак'.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the logo-maker skill
What this skill tells your AI
The instructions your AI receives, as published by mikefluff/skills in skills/logo-maker/SKILL.md and read by ahel’s review.
Distinct from cover-maker:
- No artist / author / medium fields — just brand
- Single image (no aspect variants — logos work the same at all sizes by design)
- Different model bias:
ideogram-3-qualityis the default (best embedded text rendering) - Aesthetic conventions: clean, geometric, often single-color, isolated on background
Distinct from flyer-maker:
- No event details — logos are timeless brand artifacts, not event-specific
- No multi-aspect — same mark serves all platforms
- Very minimal composition (logo dominates frame; no headline blocks)
This skill does NOT:
- Generate full brand books (typography systems, color tokens, voice guidelines) — single mark image only
- Vectorize the output to SVG — that's a separate step (open the PNG in Vectornator / Illustrator / Affinity Designer + auto-trace)
- Guarantee trademarkability — outputs may resemble existing marks; check with a trademark search before commercial use
- Remove the background — chain with
bg-removerif you need transparent PNG
ROLE
Read brand + style preset + palette → pick text-strong model → assemble variant prompts that strongly cue "logo isolated on white background, no shadows, vector aesthetic" → batch execute → save PNGs.
PIPELINE
-
Resolve brand:
- Required:
--brand "<name>" - Optional:
--tagline "<line>"
- Required:
-
Resolve style preset — see
references/style-presets.md:--style wordmark— pure typography, no icon (default if brand name ≤2 words)--style minimal— geometric mark + optional brand name--style illustrated— pictorial / mascot--style typographic— custom lettering, ornamental type--style geometric— angular / parametric (Bauhaus-like)--style emblem— badge / seal / circular composition
-
Palette hint (optional but recommended):
--palette "two tones, deep teal + warm cream"— natural-language palette description- Defaults to "monochrome black on white" when omitted
-
Pick model:
- Default:
ideogram-3-quality— cleanest text rendering in image-gen, perfect for wordmarks - Fallback:
gpt-image-2— better for illustrated + emblem styles with subtle text - Override:
--model <slug>
- Default:
-
Compose ONE LLM call — load
common/visual-prompt-library/system-prompt.md(shared SYSTEM_PROMPT) andbuildUserMessage(opts)withMode=logo,N=<variants>, brand + tagline + style preset + palette. Spawn ONE Agent. Receives JSON{"slides":[{"number":1,"prompt":"..."}]}— 1–3 sentence prompts cueing isolated-on-white, no background clutter, vector look. Brand name in double quotes. The N prompts share the same content brief but allow stochastic variation in execution (different geometric interpretations, different palette emphasis within the constraint). -
Estimate cost + confirm — inherits
SKILLS_CAROUSEL_BUDGET=1.50. -
Batch execute —
common.runners.batch.run_batch(). -
Output:
./generated/logo/<slug>/ logo-v1.png logo-v2.png logo-v3.png (if --variants 3) manifest.json prompts.md
MODES
Required
logo-maker --brand "<name>"
Optional content
--tagline "<line>"— secondary text (e.g., "since 2024", "engineered minds")--palette "<hint>"— natural-language palette description--lang en|ru— language hint (default: auto-detect)
Visual
--style wordmark|minimal|illustrated|typographic|geometric|emblem— default wordmark--style-mod "<override>"— append tweak (e.g., "with a single accent dot in orange")--variants N— variants (default 4 — logos benefit from more options)--model auto|<slug>— image provider
Execution
--execute— actually generate--output <dir>— custom output--parallelism N— concurrent calls (default 2)--yes— skip cost confirmation--resume— retry failed--prompts-only— dry run
STRUCTURED LAYOUT (Ideogram 4 only)
When --model is an ideogram-4* tier, emit the layout as structure instead of
flattening it into a sentence: add json_prompt to each plan item's kwargs,
following common/references/json-prompt.md.
This skill already knows where every element goes; sending that directly is what
stops the arrangement drifting between variants.
On any v3 tier the provider refuses a json_prompt rather than ignoring it, so
keep the prose prompt as written and send nothing extra.
REFERENCES (load on demand)
| File | When to load |
|---|---|
| references/style-presets.md | Step 2 — exact composition rules per preset, when to pick which, common mistakes |
| references/model-picker.md | Step 4 — which model handles which style best, text vs icon strengths |
| references/troubleshoot.md | When text gets garbled, icon looks generic, palette ignored |
EXAMPLES
See examples/before-after.md — 3 calibration runs: SaaS wordmark, illustrated mascot, geometric emblem.
CONSTRAINTS
-
Brand name ≤3 words for best wordmark rendering. Past 3 words, switch to abbreviation or acronym.
-
Pick ONE style preset per run. Don't mix wordmark + illustrated in the same batch — variants should explore one direction at a time.
-
More variants = better selection. Default 4 (vs 2 for cover-maker) because logo selection is inherently subjective.
-
Default to embedded-text-strong model.
ideogram-3-qualityis the default for a reason — text rendering breaks 90% of generated logos. -
Vector workflow is a separate step. Output is raster (PNG). To get SVG: pick best variant → open in Illustrator/Affinity Designer/Vectornator → auto-trace → manually clean up.
-
Isolation hint is built into the prompt. All variants cue "isolated on white background, no shadows, no environment". To get transparent PNG: chain with
bg-remover. -
No multi-aspect output. A logo works the same across all aspects; produce ONE mark, scale as needed in your design tool.
-
Cost confirm ONCE per batch. Sum across variants.
-
Trademark check is YOUR responsibility. The skill cannot verify uniqueness — run a trademark search before commercial use.
-
Never print API keys. Mask in errors.
INVOCATION HINTS
When the user says any of:
- "design a logo for X", "logo for my brand", "create a wordmark"
- "brand mark", "company emblem", "monogram"
- "логотип", "сделай лого", "фирменный знак", "эмблема", "брендовый знак"
If the user mentions a domain (SaaS, restaurant, agency), bias --style accordingly:
- SaaS / tech →
wordmarkorgeometric - Restaurant / artisan →
illustratedoremblem - Editorial / studio →
typographic - Personal brand →
wordmarkwith--style-mod "elegant"
Defaults: --style wordmark --variants 4 --model ideogram-3-quality. Without --execute, returns prompts.
This skill is distinct from:
cover-maker— albums/books/podcasts. This is brand identity.flyer-maker— events. This is timeless brand.thumbnail-maker— content marketing. This is brand identity.image-prompt— free-form. This is structured logo conventions with strong text-rendering bias.
Signals
- GitHub stars
- 21
- Forks
- 1
- Last commit
- Sep 2026
Advanced
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- skill
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logo-maker- Source
- github.com/mikefluff/skills