generate-image

Generate or edit images using AI models (FLUX, Nano Banana 2). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that is not a technical diagram or schematic. For flowcharts, circuits, pathways, and technical diagrams, use the scientific-schematics skill instead.

Quality

88%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

77%

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

The body is highly actionable with executable commands and a clear simple-task workflow, but it carries notable redundancy across sections and a long monolithic structure that could be tightened or split out.

Suggestions

Consolidate "Quick Start" with "Common Usage Patterns" to remove the duplicated basic-generation example and shorten the body.

Trim "Image Editing Tips" and "Integration with Other Skills", which restate model-editing support and the scientific-schematics routing already covered in "Model Selection" and "When to Use".

Move the extended "Example Use Cases" bash snippets into a separate reference file (e.g. examples.md) and link to it one level deep, improving progressive disclosure.

Dimension	Reasoning	Score
Conciseness	The ~174-line body is mostly concrete and avoids explaining concepts Claude already knows, but it is repetitive: "Quick Start" overlaps with "Common Usage Patterns > Basic generation", "Image Editing Tips" restates model-editing support from "Model Selection", and "Integration with Other Skills" repeats the scientific-schematics routing already in "When to Use".	2 / 3
Actionability	It provides fully executable, copy-paste-ready commands throughout (e.g. `python scripts/generate_image.py "..." --input photo.jpg --model "black-forest-labs/flux.2-pro"`) plus a documented parameter list, matching the 'fully executable, copy-paste ready' anchor.	3 / 3
Workflow Clarity	This is a simple single-script skill whose primary action is unambiguous; the API Key Setup section is a clear multi-step sequence and the Error Handling section gives explicit retry-after-fix guidance, satisfying the simple-skill allowance for a top score.	3 / 3
Progressive Disclosure	The single referenced bundle file (scripts/generate_image.py) is one level deep and clearly signaled, but the body is a long monolithic document whose repetitive "Common Usage Patterns" (6 near-duplicate examples) and "Example Use Cases" sections could be split out rather than kept inline.	2 / 3
	Total	10 / 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 description that clearly states capabilities, provides natural trigger terms, answers both what and when, and disambiguates from the related scientific-schematics skill. All dimensions hit the top of the scale.

Dimension	Reasoning	Score
Specificity	The description lists multiple concrete actions ("Generate or edit images") and enumerates specific use cases (photos, illustrations, artwork, visual assets, concept art), matching the 'multiple specific concrete actions' anchor.	3 / 3
Completeness	It explicitly answers both what ("Generate or edit images using AI models") and when ("Use for general-purpose image generation including..." / "use the scientific-schematics skill instead"), with explicit trigger guidance present.	3 / 3
Trigger Term Quality	It covers natural user terms ("image generation", "photos", "illustrations", "artwork", "concept art", "image editing") plus negation triggers ("technical diagram", "schematic", "flowcharts", "circuits", "pathways"), giving good coverage of what users would actually say.	3 / 3
Distinctiveness Conflict Risk	It carves a clear niche (general-purpose image generation/editing) and explicitly routes the overlapping technical-diagram case to a sibling skill, making wrong-skill triggering unlikely.	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
metadata_version	'metadata.version' is missing	Warning

	Total	15 / 16 Passed

Repository: foryourhealth111-pixel/Vibe-Skills
Path: bundled/skills/generate-image/SKILL.md
Commit: f627ab5

Reviewed: about 9 hours ago

Table of Contents

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