image-generator

Create custom images, graphics, and visual content using AI image generation.

Quality

80%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

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

The body is a well-structured, concise, and actionable guide that gives Claude everything needed to brief an image model, including a concrete prompt anatomy and a validated workflow.

Dimension	Reasoning	Score
Conciseness	The body is lean and efficient with no padding or explanations of concepts Claude already knows; every section earns its place and assumes Claude's competence.	5 / 5
Actionability	It provides a concrete fillable prompt anatomy (Subject, Composition, Style, Lighting & color, Detail & mood, Technical), explicit platform/aspect-ratio mappings, a numbered workflow, and a precise output-format spec — directly actionable for an instruction-only skill.	5 / 5
Workflow Clarity	The 'How to work' section gives a clear 4-step sequence with an explicit feedback loop ('If a result would miss the brief, adjust the prompt and explain the change'), which satisfies the validation requirement for this low-risk, single-purpose skill.	5 / 5
Progressive Disclosure	At under 50 lines with no need for external references, the skill is well-organized into clearly headed sections, which per the rubric warrants a 5 for progressive disclosure.	5 / 5
	Total	20 / 20 Passed

Description

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

The description clearly states what the skill does but omits any explicit trigger guidance, capping completeness. Trigger terms are good though not exhaustive, and the skill is reasonably distinct.

Suggestions

Add an explicit 'Use when...' clause listing concrete triggers (e.g. 'Use when generating social graphics, blog hero images, thumbnails, or illustrations from a text description').

Replace near-synonymous nouns (images/graphics/visual content) with more distinct actions or output contexts to raise specificity.

Include natural synonyms users say, such as 'generate images', 'pictures', 'photos', or 'thumbnails', to broaden trigger coverage.

Dimension	Reasoning	Score
Specificity	It clearly names the domain (AI image generation) and enumerates output types (images, graphics, visual content), but 'Create' is a single generic verb and the three objects are near-synonyms rather than distinct concrete actions, so coverage is not comprehensive.	3 / 5
Completeness	The 'what' is clear (create images/graphics via AI generation), but there is no 'Use when...' clause or equivalent trigger guidance, which per the rubric caps completeness at 3.	3 / 5
Trigger Term Quality	Natural terms like 'images', 'graphics', 'visual content', and 'AI image generation' are present and would match user phrasing, though common synonyms (e.g. 'pictures', 'photos', 'thumbnails') and the verb 'generate' are missing.	4 / 5
Distinctiveness Conflict Risk	The AI image-generation framing carves a mostly-distinct niche with minimal conflict risk, though 'images, graphics, visual content' is broad enough to risk minor overlap with general design or branding skills.	4 / 5
	Total	14 / 20 Passed

Validation

100%

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 — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: holaboss-ai/holaOS
Path: apps/desktop/electron/default-skills/image-generator/SKILL.md
Commit: 4684714

Reviewed: 4 days ago

Table of Contents

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