nano-banana-pro-openrouter
Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.
90
89%
Does it follow best practices?
Impact
90%
3.10xAverage score across 3 eval scenarios
Critical
Do not install without reviewing
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong, well-crafted description that concisely communicates specific capabilities, uses natural trigger terms, and clearly delineates both what the skill does and when to use it. The mention of the specific platform, model, and supported resolutions makes it highly distinctive and easy for Claude to select appropriately.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'prompt-only image generation', 'image edits', 'multi-image compositing', and specifies output resolutions '1K/2K/4K output'. Also names the specific model (Gemini 3 Pro) and platform (OpenRouter). | 3 / 3 |
Completeness | Clearly answers both 'what' (generate/edit images via OpenRouter with Gemini 3 Pro) and 'when' ('Use for prompt-only image generation, image edits, and multi-image compositing'). The 'Use for...' clause serves as an explicit trigger guidance. | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms: 'generate images', 'edit images', 'image generation', 'image edits', 'compositing', 'OpenRouter', 'Gemini'. Users asking to generate or edit images would naturally use these terms. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive by specifying the exact platform (OpenRouter), model (Gemini 3 Pro Image), and specific capabilities (multi-image compositing, resolution options). Unlikely to conflict with other image skills unless another skill targets the same model. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
79%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 skill that is concise, actionable, and clearly structured for its purpose. The CLI examples are concrete and cover the three main use cases effectively, and the troubleshooting table is a strong addition. The main weaknesses are the lack of explicit validation/verification steps after image generation and the inability to verify referenced paths without bundle files.
Suggestions
Add a brief validation step after running the script, e.g., 'Verify the output by checking that the MEDIA: <path> line was printed to stdout and the file exists at the indicated path.'
Structure the transient error retry guidance as an explicit feedback loop (e.g., numbered steps: detect error → wait → retry → if still failing, surface to user).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient. It doesn't explain what OpenRouter or Gemini is, assumes Claude knows how to run CLI commands, and every section earns its place. The troubleshooting table is compact and useful. | 3 / 3 |
Actionability | Provides fully concrete, copy-paste-ready CLI commands for all three use cases (generation, editing, compositing). The troubleshooting table gives specific resolutions with exact commands for different platforms. | 3 / 3 |
Workflow Clarity | The three usage patterns are clear and well-separated, and the troubleshooting section provides error recovery guidance. However, there's no explicit validation step after image generation (e.g., checking the output file exists or verifying the MEDIA output), and the retry guidance for transient errors is mentioned but not structured as a clear feedback loop. | 2 / 3 |
Progressive Disclosure | The content is well-organized with clear sections, but no bundle files were provided to verify references like `{baseDir}/scripts/generate_image.py` or `assets/SYSTEM_TEMPLATE`. The skill is moderately sized and keeps everything inline, which is reasonable, but the system prompt customization section could benefit from a reference to the actual template file content. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 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 |
Total | 9 / 11 Passed | |
- Repository
- github/awesome-copilot
- Commit
65b20ad
- Reviewed
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.