logo-creator

Overview of logo-creator skill

The logo-creator skill is a guided workflow for generating logos with AI, then refining them into cleaner brand assets through cropping, background removal, and SVG export. It is best for users who want to go from a rough brand idea to a shortlist of usable logo options without inventing the full process themselves.

What logo-creator is actually good at

This is not just a “make me a logo” prompt. The value of logo-creator is the end-to-end path: gather requirements, generate multiple concepts, compare options, clean the selected image, and convert it into a more reusable output. That makes it more useful for icons, favicons, brand marks, mascots, and simple emblems than a one-shot image prompt.

Best-fit users

logo-creator fits:

• founders and solo operators who need fast logo exploration
• agents that must follow a repeatable branding workflow
• users who want several directions before choosing one
• teams comfortable using API-based image and post-processing tools

It is especially practical when you already know the brand name, target style, and likely usage context such as app icon, website header, or square favicon.

What makes this logo-creator skill different

The main differentiators are operational:

• explicit discovery questions before generation
• style guidance via references/styles.md
• example-driven workflow in examples/opc-logo-creation.md
• helper scripts for crop, background removal, and vectorization
• a defined archive structure under .skill-archive/logo-creator/...

That means the logo-creator skill gives you a clearer production path than an ordinary prompt, not just prompt wording.

What users usually care about first

Before installing, most users want to know:

• whether outputs can become clean brand assets, not just pretty images
• whether the workflow supports iteration and selection
• what APIs are required
• whether SVG export is included
• how much manual judgment is still needed

On those points, logo-creator for Branding is strongest for concept generation plus lightweight finishing. It is less suitable if you need a legally reviewed identity system, exact vector craftsmanship, or full brand guidelines.

Main tradeoffs and limits

The workflow depends on external services:

• GEMINI_API_KEY for image generation through the required nanobanana skill
• REMOVE_BG_API_KEY for transparent PNG cleanup
• RECRAFT_API_KEY for SVG vectorization

The biggest limitation is that vectorization happens after raster generation. So the final SVG can be useful, but it may still need human cleanup for production-grade brand systems, tiny favicon legibility, or exact geometry.

How to Use logo-creator skill

Install context and prerequisites

The repository evidence shows no dedicated install command inside SKILL.md, so treat logo-creator as a skill inside ReScienceLab/opc-skills. You will want the skill available in your agent environment plus these external dependencies:

• GEMINI_API_KEY
• REMOVE_BG_API_KEY
• RECRAFT_API_KEY
• the required nanobanana skill for Gemini image generation
• Python with Pillow and numpy for cropping

If you plan to use the crop script locally, install the Python packages:

pip install Pillow numpy

Read these files first

For the fastest adoption path, read these in order:

1. skills/logo-creator/SKILL.md
2. skills/logo-creator/examples/opc-logo-creation.md
3. skills/logo-creator/references/styles.md
4. skills/logo-creator/scripts/crop_logo.py
5. skills/logo-creator/scripts/remove_bg.py
6. skills/logo-creator/scripts/vectorize.py

This order matters: workflow first, then example, then style patterns, then finishing mechanics.

What input logo-creator needs from you

The logo-creator usage quality depends heavily on the discovery inputs. Provide:

• brand or project name
• what the logo is for
• preferred style
• target aspect ratio or format
• color direction
• references to imitate or avoid
• where the logo will be used first

Good inputs are concrete. “Modern tech logo” is weak. “Minimalist monochrome icon for a developer tool, must read clearly at 32x32, avoid gradients and mascots” is much stronger.

Turn a rough goal into a strong prompt

A useful logo-creator guide prompt usually includes five parts:

1. Subject: what the mark should depict
2. Style: minimalist, pixel art, hand-drawn, isometric, etc.
3. Constraints: square, one-color, no text, simple silhouette
4. Usage context: favicon, app icon, website header, sticker
5. Variation request: ask for several distinct directions, not micro-edits

Example:

Create a logo for "Northlane", a B2B logistics software brand. Generate 12 square logo concepts. Style: minimalist flat design. Colors: navy and white, with an option for monochrome. Must remain legible as a favicon. Avoid mascots, gradients, and fine details. Explore directions around routes, nodes, movement, and reliability.

Use the style reference instead of guessing

references/styles.md is one of the most useful files in this skill. It gives prompt patterns for styles such as:

• pixel art / 8-bit retro
• minimalist / flat design
• 3D / isometric
• hand-drawn / sketch

Instead of saying “make it cool,” borrow the style language directly. The style keywords materially change output consistency and reduce the amount of vague back-and-forth.

Recommended workflow for logo-creator usage

A practical workflow is:

1. collect requirements
2. pick one style family
3. generate a batch of variations
4. shortlist 2 to 3 candidates
5. request targeted revisions on one candidate
6. crop and center the chosen image
7. remove the background
8. vectorize to SVG
9. check small-size legibility before approval

This matches the repository better than trying to jump straight to a final logo in one generation.

Save outputs in the expected archive structure

The skill expects generated files under:

.skill-archive/logo-creator/<yyyy-mm-dd-summaryname>/

Example:

.skill-archive/logo-creator/2026-01-18-opc-logo/

Keep every variation and revision in the same folder. This is useful because logo selection is comparative; losing earlier variants makes it harder to explain why one direction won.

Run the finishing scripts

The helper scripts are a real reason to use this skill.

Crop whitespace and square the logo:

python3 scripts/crop_logo.py input.png output.png --padding 5

Remove the background:

python3 scripts/remove_bg.py input.png output.png

Vectorize to SVG:

python3 scripts/vectorize.py input.png output.svg

These steps matter because generated images often look acceptable in chat but fail when placed in UI layouts due to excess whitespace, opaque backgrounds, or lack of scalable format.

Use the preview template for selection

templates/preview.html suggests a practical review loop: put generated images into a browsable gallery so users can compare candidates quickly. This is especially useful when you have 9 to 20 variants and need a fast shortlist instead of discussing each image one by one.

Prompting tips that improve output quality

For better logo-creator install payoff, specify:

• whether text should appear or not
• whether the goal is icon-only or icon-plus-wordmark
• one-color vs multi-color
• acceptable symbolism
• forbidden motifs
• minimum display size
• whether edges should be crisp or organic

High-leverage additions include:

• “must work at 32x32”
• “prefer strong silhouette”
• “avoid tiny interior detail”
• “white background for easier cleanup”
• “generate distinct concepts, not minor variations”

When to stop iterating

Stop after you have:

• one concept that is recognizable at small sizes
• a transparent PNG
• an SVG good enough for your current use
• confidence that the mark fits the brand better than the alternatives

Do not keep iterating just because the model can produce more options. For branding work, decision quality usually drops once variation turns into random drift.

logo-creator skill FAQ

Is logo-creator better than a normal image prompt?

Usually yes, if you care about process and output handling. A normal prompt may produce a nice image, but logo-creator adds requirement gathering, style references, comparison workflow, file organization, and post-processing scripts. That reduces guesswork.

Is the logo-creator skill beginner-friendly?

Fairly, but not fully hands-off. Beginners can follow the example and style reference, but they still need to make brand decisions and manage API keys. If you dislike external service setup, adoption will feel heavier than a simple prompt-only workflow.

What kinds of logos fit best?

Best fits:

• simple icons
• mascots with clean silhouettes
• favicons
• brand marks
• emblems with limited detail

Less ideal:

• typography-heavy identity systems
• exact corporate vector standards
• intricate illustration logos that must survive extreme downscaling

Does logo-creator produce true vector-first design?

No. This logo-creator skill generates raster imagery first and then vectorizes it with Recraft. That can be very useful, but it is different from designing a logo natively in a vector editor.

When should I not use logo-creator for Branding?

Skip it if you need:

• legal clearance or trademark review
• formal brand strategy work
• highly custom lettering
• pixel-perfect vector construction by a designer
• a full identity package with usage rules

In those cases, use this skill for exploration only, not final approval.

Does the skill help with favicon-ready output?

Yes, indirectly. The workflow encourages square ratios, cropping, and simplification. But you still need to test the result at very small sizes. Some generated marks look strong at 512px and collapse at 16px.

What if I only have a vague idea?

That is still workable. Start with the brand purpose, audience, and desired feeling, then choose one style from references/styles.md. The skill works best when it can narrow ambiguity into a few concrete directions rather than infinite open-ended exploration.

How to Improve logo-creator skill

Give better strategic inputs, not just aesthetic words

The fastest way to improve logo-creator results is to describe the job of the logo:

• what users should feel
• what the company does
• where the logo appears first
• what competitors often do that you want to avoid

“Trustworthy AI accounting tool for freelancers; needs to look calm, not futuristic” is more useful than “clean and modern.”

Ask for concept diversity early

A common failure mode is getting ten near-duplicates. Prevent that by explicitly requesting distinct directions:

• geometric symbol
• abstract monogram
• mascot-lite icon
• negative-space concept

Diversity is more valuable in round one than detail polish.

Optimize for small-size recognition

For most real branding use, legibility beats flair. Tell logo-creator to favor:

• bold shapes
• limited detail
• clear silhouette
• low visual noise
• strong contrast

This one change often improves favicon and app-icon viability more than any style adjective.

Use reference images carefully

The example workflow shows reference-led creation. References help most when you extract attributes, not when you ask for near-copying. Mention what you like:

• pixel grid feel
• heavy outline
• negative space
• symmetry
• playful tone

That yields better originality and safer brand differentiation.

Fix common post-processing failures

Watch for these issues after generation:

• too much empty whitespace
• background not fully removed
• edges becoming rough after cleanup
• SVG conversion adding messy paths
• centered crop that still feels visually off-balance

Use crop_logo.py first, then background removal, then vectorization. If the source image is messy, vectorization usually amplifies the problem rather than fixing it.

Improve the first prompt before making tiny edits

If the first batch is wrong in concept, rewrite the prompt instead of requesting many micro-revisions. Change:

• subject metaphor
• style family
• color constraints
• detail level
• composition rules

Major prompt correction is usually cheaper and faster than trying to rescue a weak concept through endless iteration.

Create a tighter review rubric

To get better logo-creator usage, score each candidate on:

• recognizability
• brand fit
• small-size clarity
• uniqueness
• ease of vector cleanup

A simple rubric prevents teams from choosing the flashiest option over the most usable one.

Keep the best outputs and the reasons

Inside .skill-archive/logo-creator/..., save not just the winning file but also why it won. This helps future iterations, rebrands, and agent reuse. The workflow becomes much more valuable when the decision history is preserved, not just the final asset.