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nanobanana-skill

Generate or edit images via Google Gemini (nanobanana). This is the DEFAULT image skill — use whenever the user asks to generate, create, or edit an image and does NOT name another provider. Triggers: "nanobanana", "generate image", "create image", "edit image", "图片生成", "生成图片", "AI绘图", "图片编辑". Do NOT use for diagrams (架构图/流程图/时序图) — draw those with Mermaid or code instead.

69

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

76%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.

A well-structured, highly actionable skill body with concrete runnable commands and good organization; its main weakness is the absence of explicit output-verification checkpoints in the generation/edit workflow.

Suggestions

Add an explicit verification step after running the script (e.g., confirm the output file exists and is non-empty before reporting the path to the user).

Trim redundancy between 'Available Options' and 'Best Practices' — fold the ratio/resolution guidance into one location.

Consider moving the full aspect-ratio table and extended example set into a separate reference file to keep the overview leaner.

DimensionReasoningScore

Conciseness

Lean and assumes Claude's competence, but the 'Best Practices' list and exhaustive aspect-ratio table restate guidance already covered in Available Options and could be trimmed.

4 / 5

Actionability

Fully executable, copy-paste-ready commands across five examples covering generate, edit, pro-model, and landscape cases with all flags specified.

5 / 5

Workflow Clarity

Sequence (ask user -> run script -> show path) is clear and there is an Error Handling section, but image generation/editing and file-writing operations lack an explicit verification step that the output was actually produced, which caps this at 3 per the destructive/batch validation guideline.

3 / 5

Progressive Disclosure

Well-organized single-file skill with clear section headers and no nested references, though the bulk aspect-ratio table and example set could be split into separate files.

4 / 5

Total

16

/

20

Passed

Description

95%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.

A strong, well-targeted description that names the provider and concrete actions, gives explicit trigger terms in two languages, and includes clear boundary guidance against diagram skills and other providers.

DimensionReasoningScore

Specificity

States concrete actions ('Generate or edit images via Google Gemini (nanobanana)') and names the provider, but lists only two actions rather than comprehensive coverage.

4 / 5

Completeness

Explicitly answers both what (generate/edit images via Gemini) and when ('use whenever the user asks... and does NOT name another provider') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Provides comprehensive natural trigger terms across synonyms and bilingual variants ('nanobanana', 'generate image', '图片生成', 'AI绘图', etc.).

5 / 5

Distinctiveness Conflict Risk

Clear niche with explicit boundary guidance ('DEFAULT image skill... does NOT name another provider', 'Do NOT use for diagrams') minimizing conflict risk.

5 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

Total

15

/

16

Passed

Repository
feiskyer/claude-code-settings
Reviewed

Table of Contents

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