nano-banana-pro

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

7.23x

Quality

62%

Does it follow best practices?

Impact

94%

7.23x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

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Quality

Content

92%

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 all supported use cases. It respects Claude's intelligence by avoiding unnecessary explanations and focuses on the exact commands and configuration needed. The only minor weakness is the lack of verifiable bundle references and potential undocumented script options.

Dimension	Reasoning	Score
Conciseness	Every line serves a purpose. No unnecessary explanations of what Gemini is or how image generation works. The content is lean and assumes Claude's competence.	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 and concrete with exact config paths.	3 / 3
Workflow Clarity	This is a simple, single-purpose skill with clear, unambiguous usage patterns. Each mode (generate, edit, multi-image) is distinct and self-contained. The notes section provides important constraints like 'do not read the image back' and filename conventions.	3 / 3
Progressive Disclosure	The content is well-organized with clear sections, but no bundle files were provided to verify the referenced script path. For a skill this size, the structure is adequate, but it could benefit from a reference to the script's full options or help output if more flags exist.	2 / 3
	Total	11 / 12 Passed

Description

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 used, which provides some distinctiveness, but it lacks a 'Use when...' clause, misses common user trigger terms, and doesn't enumerate specific capabilities beyond the generic 'generate or edit'.

Suggestions

Add a 'Use when...' clause with explicit triggers, e.g., 'Use when the user asks to create, generate, edit, or modify images, pictures, or photos.'

Include natural trigger terms users would say: 'create image', 'picture', 'photo', 'illustration', 'modify', 'AI-generated image'.

List more specific capabilities such as style application, image-to-image editing, text-to-image generation, or supported output formats to improve specificity.

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'. However, it misses common user terms like 'create image', 'picture', 'photo', 'illustration', 'modify image', or file format mentions.	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. The model name helps but the lack of explicit trigger conditions weakens differentiation.	2 / 3
	Total	7 / 12 Passed

Validation

72%

Warnings & errors only

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: fc01b4b

Reviewed: 3 days ago

Table of Contents

Discovery Implementation Validation

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