logo-maker

SkillMonitoring & ops

Brand 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.

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-quality is 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-remover if 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

  1. Resolve brand:

    • Required: --brand "<name>"
    • Optional: --tagline "<line>"
  2. 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
  3. Palette hint (optional but recommended):

    • --palette "two tones, deep teal + warm cream" — natural-language palette description
    • Defaults to "monochrome black on white" when omitted
  4. 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>
  5. Compose ONE LLM call — load common/visual-prompt-library/system-prompt.md (shared SYSTEM_PROMPT) and buildUserMessage(opts) with Mode=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).

  6. Estimate cost + confirm — inherits SKILLS_CAROUSEL_BUDGET=1.50.

  7. Batch execute — common.runners.batch.run_batch().

  8. 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)

FileWhen to load
references/style-presets.mdStep 2 — exact composition rules per preset, when to pick which, common mistakes
references/model-picker.mdStep 4 — which model handles which style best, text vs icon strengths
references/troubleshoot.mdWhen 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-quality is 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 → wordmark or geometric
  • Restaurant / artisan → illustrated or emblem
  • Editorial / studio → typographic
  • Personal brand → wordmark with --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
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Last commit
Sep 2026
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Item type
skill
Key
logo-maker
Source
github.com/mikefluff/skills