Individual skill
google-gemini-image
Plan, generate, edit, and quality-check still images with Google's Gemini native image models (Nano Banana), including Gemini 3.1 Flash Image, Gemini 3.1 Flash-Lite Image, Gemini 3 Pro Image, and legacy Gemini 2.5 Flash Image. Use for model and API-route selection, conversational editing, multi-reference composition, thinking and Google Search grounding, resolution/aspect-ratio control, exact-text and brand workflows, SynthID/provenance, safety, privacy, rights, and migration from legacy Gemini or Imagen image endpoints. Do not use for Veo/video generation or Gemini Live/audio work.
skills/providers/image-generation/google-gemini-image/SKILL.md
Source commit 8c85352d5d75d4dcbe58480bd138e37b9742bab1
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 241
- Repository last updated
- Jul 14, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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Browse files
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Read excerpt
# Produce still images with Gemini
Treat this as a production discipline, not a bag of adjectives. Establish rights and delivery constraints, choose a route and model, assign references explicit roles, generate a reviewable draft, and repair one defect class at a time.
## Evidence labels and freshness
Interpret labels consistently:
- **Documented fact**: stated in a cited Google first-party source.
- **Inference**: a conclusion drawn from documented capabilities; validate it on the actual workload.
- **Production heuristic**: operational advice, not a provider guarantee.
All volatile facts in this skill were verified **2026-07-09**. Recheck model IDs, launch stages, locations, pricing, quotas, API schemas, retention, and deprecation dates before a consequential run. Provider words such as “best” or “professional” are positioning, not independent benchmark results.