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 ./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 concise but underdeveloped. It identifies the core capability (image generation/editing) and the specific model, but lacks a 'Use when...' clause, detailed action list, and sufficient trigger terms to reliably distinguish it from other image-related skills.
Suggestions
Add an explicit 'Use when...' clause, e.g., 'Use when the user asks to generate, create, or edit images, photos, or illustrations using Gemini or Nano Banana Pro.'
Include more natural trigger terms users might say: 'create image', 'modify photo', 'picture', 'AI-generated image', 'image editing'.
List more specific capabilities beyond 'generate or edit', such as style transfer, image-to-image editing, text-to-image creation, or specific supported formats.
| 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 should cap 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 image generation/editing scenarios. Its main weakness is the lack of any validation or error-handling guidance—there's no mention of what to do if the command fails, the API key is invalid, or the output file isn't created. The organization and token efficiency are excellent for a skill of this scope.
Suggestions
Add a brief validation step after each command, e.g., 'Verify the output file exists at the expected path before reporting success to the user.'
Include a note on common failure modes (e.g., missing/invalid API key, unsupported image format) and how to handle them.
| 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, covering only non-obvious details like the MEDIA: line behavior and filename conventions. | 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. The commands include real flags and realistic placeholder values. | 3 / 3 |
Workflow Clarity | The three use cases are clearly separated and each command is unambiguous. However, there's no validation or error handling guidance—what happens if the API key is missing, if the resolution is invalid, or if the script fails? For a skill that generates files, a verification step (e.g., check the output exists) would strengthen the workflow. | 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 via {baseDir}/scripts/generate_image.py, keeping the SKILL.md as a concise overview. No bundle files were provided but the structure is appropriate for the skill's complexity. | 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
- attilaczudor/Test
- Commit
b4fc4af
- Reviewed
Table of Contents
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