This skill should be used when the user asks to "generate an image", "create an image", "optimize a prompt", "improve my prompt", "make my prompt better", mentions "nanobanana", "image prompt", "prompt engineering for images", or needs guidance on crafting professional AI image prompts. Provides the
Slash commands (1)
/gemini-image-gen:image
Generate images using Gemini 3 Pro Image model. Spawns a lightweight agent to keep main context clean.
Subagents (1)
image-gen
Specialized agent for generating images using Gemini 3 Pro Image. Use this agent when the user asks to "generate an image", "create an image", "make a picture", or any image generation request. This agent handles prompt optimization and generation autonomously, keeping the main context clean.
agentic-flow (external: maintained in ruvnet/agentic-flow, pinned to commit d19737b, plugin 3.4.0): the agentic-flow MCP server pinned to [email protected] (ReasoningBank learning, ecosystem tools prompt_injection_scan, swarm_partition_tasks, sublinear_solve, sublinear_pagerank and ecosystem_status, multi-provider routing, autopilot learning; readonly profile by default, no tool pre-approved), 2 agents, 4 skills, /agentic-flow-status, and a mod guard on agentic_flow_agent with /agentic-flow-guard
Personalized AWS guidance built on patterns from 350,000+ startups. Get architecture, cost, and security recommendations matched to your stage, from day-one account setup to production-ready infrastructure. Migrate to AWS from Azure, GCP, or Heroku with resource discovery, cost estimates, and generated Terraform. Move OpenAI, Azure OpenAI, and Gemini code to Amazon Bedrock, and plan and prototype AI agents on AgentCore and other AWS runtimes. Includes AWS Activate credits eligibility, 60+ exclusive startup offers, and multi-account, multi-region support. Built by AWS Startup Solutions Architects.
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
Connect, query, and interact with Oracle Databases and their data within Gemini CLI.
1 MCP server
google/skills 24,091
Maintain gemini-image-gen?
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