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nano-banana

Generates AI images using the nano-banana CLI (Gemini 3.1 Flash default, Pro available). Handles multi-resolution (512-4K), aspect ratios, reference images for style transfer, green screen workflow for transparent assets, cost tracking, and exact dimension control. Use when asked to "generate an image", "create a sprite", "make an asset", "generate artwork", or any image generation task for UI mockups, game assets, videos, or marketing materials.

Quality

87%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

75%Weight 40%Scale 1-5

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 highly actionable, well-sectioned CLI reference with executable commands and clear multi-step workflows including an error-recovery fallback for installation. Its main weakness is token efficiency: duplicated examples and sections that restate the description or defaults could be cut.

Suggestions

Remove duplicated examples: the "pixel art treasure chest" -t command and cinematic 16:9 example each appear in both Key Workflows and Prompt Examples — keep each in one place only.

Cut or merge the "Quick Reference" and "Use Cases" sections: both restate the description and the Core Options table defaults without adding new information.

Mention the aistudio.google.com/apikey URL once (it appears in both /init and API Key Setup) and add a post-install validation step (e.g., run `nano-banana --costs` to confirm the CLI and key work).

DimensionReasoningScore

Conciseness

The tables and command examples are tight, but there is real redundancy: the "pixel art treasure chest" -t and cinematic 16:9 examples each appear twice, the "Quick Reference" and "Use Cases" sections largely restate the description and Core Options defaults, and the API key URL is repeated. This fits "mostly efficient but includes some unnecessary explanation or could be tightened" better than the minor-trim level 4 anchor.

3 / 5

Actionability

Guidance is fully executable throughout: copy-paste-ready init commands (clone, bun install, bun link, .env setup), concrete generation commands with flags for every workflow, and complete options/models/costs tables covering the common cases.

5 / 5

Workflow Clarity

Multi-step processes are clearly sequenced (numbered /init steps, numbered Exact Dimensions recipe) and the /init section includes an error-recovery fallback if `bun link` fails, matching "clear sequence with most checkpoints present". It falls short of 5 because no post-step validation exists (e.g., verifying the CLI works after install or checking output after generation), though image generation is not destructive so no cap applies.

4 / 5

Progressive Disclosure

The skill has no bundle files, and the single-file body is well-organized into clear sections (setup, options, models, workflows, examples) appropriate for a CLI wrapper; minor gaps (the Prompt Examples and Use Cases sections could be trimmed or split) keep it at "good structure; most content appropriately placed" rather than the fully optimized top anchor.

4 / 5

Total

16

/

20

Passed

Description

92%Weight 40%Scale 1-5

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 is strong: third-person voice, concrete capability list, and an explicit 'Use when' clause with natural trigger phrases. The only minor gap is that a few common synonyms (e.g., illustration, logo, icon) are absent from the trigger list.

DimensionReasoningScore

Specificity

"Generates AI images using the nano-banana CLI" plus "Handles multi-resolution (512-4K), aspect ratios, reference images for style transfer, green screen workflow for transparent assets, cost tracking, and exact dimension control" lists multiple specific concrete actions with comprehensive coverage of the tool's capabilities, matching the top anchor.

5 / 5

Completeness

It clearly answers "what" (generates AI images with the enumerated capabilities and default model) and explicitly answers "when" with concrete trigger phrases via "Use when asked to 'generate an image', 'create a sprite'...", matching the top anchor; a missing 'Use when' clause would have capped it at 3, but it is present and explicit.

5 / 5

Trigger Term Quality

Triggers include natural phrases users would say ("generate an image", "create a sprite", "make an asset", "generate artwork") plus use-case contexts (UI mockups, game assets, videos, marketing materials), but a few common natural terms like "illustration", "icon", or "logo" are missing, so it falls just below the comprehensive-synonyms anchor.

4 / 5

Distinctiveness Conflict Risk

It occupies a clear niche (AI image generation via a specific CLI) with distinct quoted trigger phrases, so it is unlikely to fire for unrelated skills; this matches the "clear niche with distinct triggers; minimal conflict risk" anchor.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

valeriibeck-star/claude-skills

Path

skills/nano-banana/SKILL.md

Reviewed

Table of Contents

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