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nano-banana-pro

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

84

7.23x
Quality

80%

Does it follow best practices?

Impact

94%

7.23x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is nano-banana-pro in Hung-Reo/hungreo-openclaw

SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-5

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

The body is a model lean skill: copy-paste-ready commands covering all usage modes, exact configuration details, and behavioral notes (timestamped filenames, MEDIA line, do not read the image back) with no wasted tokens. Nothing material is missing for its scope.

DimensionReasoningScore

Conciseness

The body is ~30 lines with zero padding — no explanations of concepts Claude already knows; every line (commands, API key location, resolution list, naming convention, MEDIA line behavior) adds non-obvious information, matching the 'lean and efficient' anchor.

5 / 5

Actionability

Three fully executable, copy-paste-ready `uv run` commands cover the common cases (generate, single-image edit, multi-image composition), plus concrete API-key paths and exact resolution values — matching the 'fully executable' anchor.

5 / 5

Workflow Clarity

This is a simple single-task skill where the single action (run one command with the given flags) is unambiguous, and image generation is neither destructive nor batch, so the validation-cap does not apply; the simple-skill exception yields 5.

5 / 5

Progressive Disclosure

Under 50 lines with well-organized sections and no need for external references; the only referenced bundle file, `scripts/generate_image.py`, exists and is correctly referenced via `{baseDir}/scripts/generate_image.py`, satisfying the simple-skill note for this dimension.

5 / 5

Total

20

/

20

Passed

Description

61%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A lean, third-person description that clearly states what the skill does using natural trigger terms, but it entirely lacks a "when to use" clause, which caps completeness at 3. Adding an explicit trigger sentence would move it toward the top anchors.

Suggestions

Append a trigger clause, e.g. "Use when the user asks to generate, edit, or combine images, or mentions Nano Banana Pro or Gemini image generation."

Mention the multi-image composition capability (up to 14 images) in the description to strengthen the specificity/completeness of the "what".

Add natural synonyms users say (photo, picture, render) alongside "images" to broaden trigger-term coverage.

DimensionReasoningScore

Specificity

The description names the domain and exactly two concrete actions ("Generate or edit images") but stops there — no mention of composition, resolution, or other capabilities, matching the '1-2 concrete actions, but not comprehensive' anchor rather than the 'several specific actions' anchor above.

3 / 5

Completeness

It has a clear "what" (generate or edit images via Gemini 3 Pro Image) but no "Use when..." clause or equivalent trigger guidance, and the rubric explicitly caps completeness at 3 in that case.

3 / 5

Trigger Term Quality

"Generate", "edit images", and both product names ("Gemini 3 Pro Image", "Nano Banana Pro") are phrases users would naturally say, giving good keyword coverage; common synonyms like photo, picture, or render are missing, so it falls just short of the comprehensive anchor.

4 / 5

Distinctiveness Conflict Risk

The product-specific naming ("Gemini 3 Pro Image (Nano Banana Pro)") makes it mostly distinct from other skills, with only minor overlap risk against other image-generation skills.

4 / 5

Total

14

/

20

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 — 13 / 16 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

13

/

16

Passed

Repository
trpc-group/trpc-agent-go
Reviewed

Table of Contents

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