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nano-banana-pro

Generate or edit images via Gemini 3 Pro Image (Nano Banana Pro).

70

7.23x
Quality

60%

Does it follow best practices?

Impact

94%

7.23x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./openclaw/skills/nano-banana-pro/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

32%

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 concise but too sparse. It identifies the core capability (image generation/editing) and the specific model, but lacks a 'Use when...' clause, detailed action list, and natural trigger terms users would employ. Adding explicit trigger guidance and more user-facing keywords would significantly improve skill selection accuracy.

Suggestions

Add a 'Use when...' clause specifying triggers like 'Use when the user asks to create, generate, edit, or modify images, pictures, or photos using Gemini or Nano Banana Pro.'

Include more natural trigger terms users would say, such as 'create image', 'picture', 'photo', 'illustration', 'AI-generated image', 'image editing'.

List more specific capabilities beyond 'generate or edit', such as 'apply style changes, add or remove objects, upscale, or transform existing images' to improve specificity.

DimensionReasoningScore

Specificity

Names the domain (image generation/editing) and two actions (generate, edit), but doesn't list more specific capabilities like style transfer, inpainting, resizing, format conversion, etc.

2 / 3

Completeness

Describes what it does (generate or edit images via a specific model) but completely lacks a 'Use when...' clause or any explicit trigger guidance, which per the rubric should cap completeness at 2, and since the 'what' is also thin, this lands at 1.

1 / 3

Trigger Term Quality

Includes 'generate' and 'edit images' which are natural terms, plus the model name 'Gemini 3 Pro Image' and 'Nano Banana Pro' for specific lookups. However, it misses common user terms like 'create image', 'picture', 'photo', 'illustration', 'draw', or 'AI image'.

2 / 3

Distinctiveness Conflict Risk

The specific model name 'Gemini 3 Pro Image (Nano Banana Pro)' adds some distinctiveness, but 'generate or edit images' is broad enough to overlap with other image-related skills like DALL-E or Stable Diffusion skills.

2 / 3

Total

7

/

12

Passed

Implementation

87%

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

This is a lean, well-structured skill that provides clear, executable commands for all supported use cases. Its main weakness is the lack of any error handling or validation guidance—what to do if the API key is invalid, if the input image doesn't exist, or if the generation fails. The conciseness and actionability are excellent, respecting Claude's intelligence while providing all necessary specifics.

Suggestions

Add a brief note on error handling: what common failures look like (e.g., missing API key, invalid image path) and how to recover.

Consider adding a validation step such as checking the output file exists after generation, especially for multi-image composition which may be more failure-prone.

DimensionReasoningScore

Conciseness

Every line serves a purpose. No unnecessary explanations of what Gemini is or how image generation works. The notes section is tightly packed with only non-obvious, actionable details.

3 / 3

Actionability

Provides fully executable, copy-paste-ready bash commands for all three use cases (generate, edit, multi-image). API key configuration is specific with exact config paths. Concrete resolution options and filename conventions are given.

3 / 3

Workflow Clarity

The three use cases are clearly presented with distinct commands, but there's no validation or error handling guidance. What happens if the API key is missing? What if the script fails? For a skill that calls an external API and writes files, some feedback loop or error checking would be valuable.

2 / 3

Progressive Disclosure

For a simple, single-purpose skill under 50 lines, the content is well-organized with clear sections (Generate, Edit, Multi-image, API key, Notes). The script itself is referenced rather than inlined, which is appropriate progressive disclosure.

3 / 3

Total

11

/

12

Passed

Validation

72%

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

Validation8 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

8

/

11

Passed

Repository
trpc-group/trpc-agent-go
Reviewed

Table of Contents

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