Install
$ agentstack add skill-mikefluff-skills-logo-maker ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Logo generator. Input: brand name + optional tagline + style preset + palette hint. Output: N stochastic variants of the same brief.
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 "" - Optional:
--tagline ""
- 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
- Compose ONE LLM call — load [
common/visual-prompt-library/system-prompt.md](../../common/visual-prompt-library/system-prompt.md) (shared SYSTEM_PROMPT) andbuildUserMessage(opts)withMode=logo,N=, 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// logo-v1.png logo-v2.png logo-v3.png (if --variants 3) manifest.json prompts.md ``
MODES
Required
logo-maker --brand ""
Optional content
--tagline ""— secondary text (e.g., "since 2024", "engineered minds")--palette ""— natural-language palette description--lang en|ru— language hint (default: auto-detect)
Visual
--style wordmark|minimal|illustrated|typographic|geometric|emblem— default wordmark--style-mod ""— append tweak (e.g., "with a single accent dot in orange")--variants N— variants (default 4 — logos benefit from more options)--model auto|— image provider
Execution
--execute— actually generate--output— 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](../../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](references/style-presets.md) | Step 2 — exact composition rules per preset, when to pick which, common mistakes | | [references/model-picker.md](references/model-picker.md) | Step 4 — which model handles which style best, text vs icon strengths | | [references/troubleshoot.md](references/troubleshoot.md) | When text gets garbled, icon looks generic, palette ignored |
EXAMPLES
See [examples/before-after.md](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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Mikefluff
- Source: Mikefluff/skills
- License: MIT
- Homepage: https://www.npmjs.com/package/@mikefluff/skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.