nano-banana-pro
Generate or edit images via Gemini 3 Pro Image (Nano Banana Pro).
70
60%
Does it follow best practices?
Impact
94%
7.23xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./openclaw/skills/nano-banana-pro/SKILL.mdQuality
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 brief and identifies the core capability (image generation/editing) and the specific model used, but it lacks a 'Use when...' clause, detailed capability listing, and sufficient trigger terms. It would benefit significantly from explicit trigger guidance and more natural keyword coverage to help Claude select it appropriately from a pool of skills.
Suggestions
Add a 'Use when...' clause with explicit triggers, e.g., 'Use when the user asks to generate, create, or edit images, photos, or illustrations, or mentions Gemini image generation.'
Include more natural trigger terms users might say: 'create image', 'modify photo', 'picture', 'AI-generated image', 'image editing', 'photo manipulation'.
List more specific capabilities beyond 'generate or edit', such as style application, text-to-image, image-to-image editing, or any unique features of the Gemini 3 Pro Image model.
| Dimension | Reasoning | Score |
|---|---|---|
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 | It answers 'what' (generate or edit images via a specific model) but completely lacks a 'Use when...' clause or any explicit trigger guidance, which per the rubric caps completeness at 2, and since the 'what' is also thin, a score of 1 is appropriate. | 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 variations like 'create image', 'modify photo', 'picture', 'illustration', 'AI image generation'. | 2 / 3 |
Distinctiveness Conflict Risk | The mention of a 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 tools. | 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 well-crafted, concise skill that provides immediately actionable commands for three distinct 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 structure and token efficiency are excellent.
Suggestions
Add a brief note on error handling: what common errors look like and how to recover (e.g., missing API key, invalid input path, API rate limits).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Every line serves a purpose. No unnecessary explanations of what Gemini is or how image generation works. The notes section is tight and informative without padding. | 3 / 3 |
Actionability | Provides fully executable bash commands for all three use cases (generate, edit, multi-image). API key configuration is specific with exact paths and variable names. Copy-paste ready. | 3 / 3 |
Workflow Clarity | The three use cases are clearly presented, but there's no validation or error handling guidance. What happens if the API key is missing? What if the script fails? For a tool 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 handles complexity, keeping the skill as a clean overview. | 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.
Validation — 8 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
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
- Commit
af8bd5f
- Reviewed
Table of Contents
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