logo-creator

Create logos using AI image generation. Discuss style/ratio, generate variations, iterate with user feedback, crop, remove background, and export as SVG. Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo.

2.32x

Quality

—

Does it follow best practices?

Impact

93%

2.32x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Quality

Content

65%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, highly actionable workflow skill with concrete commands and a clear iteration loop. Its main weaknesses are duplicated inline content, missing validation for batch operations, and two broken reference paths.

Suggestions

Remove the duplicated aspect-ratio and prompt-pattern blocks from the body, deferring to references/styles.md to avoid token bloat and inconsistent values.

Add validation/verification checkpoints after batch_generate.py and each finalize script (crop/remove_bg/vectorize) to confirm outputs were created before proceeding.

Create the missing examples/opc-logo-creation.md and templates/preview.html files referenced in the body, or remove those references.

Dimension	Reasoning	Score
Conciseness	Mostly efficient with concrete commands, but aspect ratios are listed twice (Step 1 vs Quick Reference with inconsistent values) and the Quick Reference prompt patterns duplicate content already in references/styles.md, adding tokens that don't earn their place.	2 / 3
Actionability	Provides copy-paste-ready executable commands for generate.py, batch_generate.py, crop_logo.py, remove_bg.py, and vectorize.py with concrete arguments and naming conventions.	3 / 3
Workflow Clarity	The six-step sequence is clear with a user-confirmation checkpoint and iteration loop, but batch generation (20 logos) and the finalize transforms lack any validation/verification step, which caps workflow clarity per the batch-operations guideline.	2 / 3
Progressive Disclosure	references/styles.md exists and is one level deep, but two referenced paths are missing (examples/opc-logo-creation.md and templates/preview.html), and style/aspect-ratio content is inlined in the body rather than deferred to the reference.	2 / 3
	Total	9 / 12 Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description that states concrete capabilities and pairs them with an explicit, natural-language trigger clause covering the common terms a user would say. No notable weaknesses to flag.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — "Create logos using AI image generation", "generate variations", "iterate with user feedback", "crop, remove background, and export as SVG" — rather than vague language.	3 / 3
Completeness	Explicitly answers both what (the action list) and when via the "Use when user wants to create a logo, icon, favicon..." trigger clause.	3 / 3
Trigger Term Quality	Natural user-facing terms are well covered: "logo, icon, favicon, brand mark, mascot, emblem" are all phrases a user would plausibly say when needing this skill.	3 / 3
Distinctiveness Conflict Risk	The logo-design framing with concrete triggers (favicon, brand mark, emblem, mascot) carves a clear niche unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
relative_links	Relative link issues: 1 missing	Warning

	Total	15 / 16 Passed

Repository: resciencelab/opc-skills
Commit: 282acb4

Reviewed: 1 day ago

Table of Contents

Discovery Implementation Validation

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