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nano-banana-pro

Nano Banana/Gemini image gen/edit: text/image input, 512-4K workflows.

74

Quality

91%

Does it follow best practices?

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SecuritybySnyk

High

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The content is lean, highly actionable, and well-structured with a clear workflow, preflight validation, and error-recovery guidance. It is self-contained with a real one-level script reference, though the final Examples section slightly duplicates the Usage block.

DimensionReasoningScore

Conciseness

The body is dense with actionable guidance and assumes Claude's competence without padding concepts; the only minor inefficiency is the 'Examples' section duplicating the Usage commands, but overall every token largely earns its place.

3 / 3

Actionability

Fully executable uv run commands, concrete resolution mappings (e.g. '1080p' -> 1K), an exact filename pattern, and copy-paste-ready prompt templates are provided; the referenced script is confirmed to exist.

3 / 3

Workflow Clarity

The 'draft -> iterate -> final' workflow is clearly sequenced with preflight validation checks and a common-failure table providing error-recovery feedback loops.

3 / 3

Progressive Disclosure

The single SKILL.md is well-organized into clear sections with no nested references; the only bundle file (scripts/generate_image.py) is referenced one level deep and confirmed real.

3 / 3

Total

12

/

12

Passed

Description

82%

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 specific and distinctive, naming concrete capabilities and natural trigger terms tied to a named product. Its main weakness is the missing explicit 'Use when...' trigger guidance, which caps completeness at 2.

Suggestions

Add an explicit 'Use when...' clause, e.g. 'Use when generating or editing images via Google's Nano Banana / Gemini API.'

Include common natural variations users might say (e.g. 'generate images', 'edit photos', 'AI image') to strengthen trigger term coverage.

Spell out 'generation/editing' rather than 'gen/edit' to improve readability and searchability.

DimensionReasoningScore

Specificity

Quotes 'image gen/edit', 'text/image input', and '512-4K workflows' list multiple concrete capabilities and features beyond naming just the domain.

3 / 3

Completeness

The 'what' is clear ('image gen/edit: text/image input, 512-4K workflows') but there is no 'Use when...' clause or equivalent explicit trigger guidance, capping completeness at 2 per the guidelines.

2 / 3

Trigger Term Quality

Quotes 'Nano Banana', 'Gemini image gen/edit', 'text/image input' give good coverage of the natural product and task terms a user would say.

3 / 3

Distinctiveness Conflict Risk

The product-specific 'Nano Banana/Gemini' naming carves a clear niche with distinct triggers unlikely to conflict with unrelated skills.

3 / 3

Total

11

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
steipete/agent-scripts
Reviewed

Table of Contents

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