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nano-banana-2

Generate and edit images using Google's Nano Banana 2 (Gemini 3.1 Flash Image Preview) API. This skill should be used when the user asks to create or modify images, especially when they need fast iteration, explicit aspect-ratio control, or resolution control from 512px to 4K.

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

88%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.

A highly actionable, well-structured skill body: every command is copy-paste executable and verified against the bundled script, mappings translate user language into flags, and the API-key failure path is an explicit checkpoint. The only refinements are trimming the redundant Examples section and considering a reference file for the mapping tables as the skill grows.

DimensionReasoningScore

Conciseness

The body is operational throughout — flag syntax, user-language-to-flag mappings, key resolution order — with no explanation of concepts Claude already knows. Not 5 because the Examples section largely re-states the two Usage commands with concrete values, and small redundancies (e.g., restating uppercase-K) could be trimmed; not 3-adjacent since there is no padded or tutorial-style prose.

4 / 5

Actionability

Fully executable copy-paste commands for both generate and edit paths, all documented flags (--prompt, --filename, --input-image, --resolution, --aspect-ratio, --api-key) verified to exist in scripts/generate_image.py, plus concrete filename format with examples and explicit mappings of user language to option values. Covers the common cases completely.

5 / 5

Workflow Clarity

This is a simple single-action skill and the action is unambiguous: resolve the API key in a stated order with an explicit stop-and-error checkpoint ("If no key is available, stop and report a clear error"), map the user's request to resolution/aspect flags, run one command, then "Return the full saved path(s)". The mapping tables and resolution order serve as decision checkpoints; no destructive or batch operations exist that would require validation.

5 / 5

Progressive Disclosure

Well-organized sections with a clear Usage-first ordering, and the one referenced bundle path (scripts/generate_image.py) is real and correctly documented. Not 5 because at ~110 lines — above the under-50-line simple-skill threshold — some content (e.g., the Examples section or the user-language mapping tables) could be split into a reference file to keep SKILL.md a leaner overview; not 3 because nothing is buried and no content that clearly belongs elsewhere is inlined.

4 / 5

Total

18

/

20

Passed

Description

87%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 strong description: it names concrete capabilities, gives an explicit 'use when' clause with varied trigger conditions, and stakes out a distinct niche via the specific model name. The only improvements are broader synonym coverage (picture, photo) and a fuller enumeration of capabilities like reference-image composition.

DimensionReasoningScore

Specificity

"Generate and edit images" plus concrete capabilities "explicit aspect-ratio control, or resolution control from 512px to 4K" lists several specific actions with only minor gaps (e.g., multi-reference image composition is folded into "edit"). Not 5 because the action list is not fully comprehensive, and not 3 because it goes beyond naming just 1-2 actions.

4 / 5

Completeness

Explicitly answers what ("Generate and edit images using Google's Nano Banana 2 ... API") and when ("This skill should be used when the user asks to create or modify images, especially when they need...") with concrete trigger conditions. Both halves are present and explicit, matching the anchor-5 example pattern.

5 / 5

Trigger Term Quality

Natural phrases like "create or modify images" and "fast iteration" mirror what users would actually say, and the named product "Nano Banana 2" catches model-specific requests. Not 5 because common synonyms like "picture", "photo", "illustration", or file extensions (".png") are missing.

4 / 5

Distinctiveness Conflict Risk

Pins a clear niche to a specific named model and API ("Nano Banana 2 (Gemini 3.1 Flash Image Preview)") with distinct triggers around aspect-ratio and resolution control. Minor residual overlap with generic image requests, but the model-specific framing keeps conflict risk minimal; below-5 anchors describe far broader, domain-level overlap.

5 / 5

Total

18

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

intellectronica/agent-skills

Path

skills/nano-banana-2/SKILL.md

Reviewed

Table of Contents

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