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Generate images using Google Gemini NanoBanana via browser automation. Use this skill for general-purpose AI image generation from text prompts. Includes persistent authentication, automatic environment setup, and reference image support for style matching.
Unified multi-platform AI image generation. Supports Volcengine Seedream, Alibaba Qwen Image, and Google Gemini (Nano Banana). Switch between models with a dropdown selector.
Generate speech from text using Google Gemini TTS models via scripts/. Use for text-to-speech, audio generation, voice synthesis, multi-speaker conversations, and creating audio content. Supports multiple voices and streaming. Triggers on "text to speech", "TTS", "generate audio", "voice synthesi...
Perform deep, multi-source research using Google Gemini's Deep Research Agent. Use this skill whenever the user asks for comprehensive research, literature reviews, competitive analysis, market research, technology surveys, or any investigation that requires synthesizing information from many web...
Runs external LLM code reviews (OpenAI Codex or Google Gemini CLI) on uncommitted changes, branch diffs, or specific commits. Use when the user asks for a second opinion, external review, codex review, gemini review, or mentions /second-opinion.
Configure NLWeb LLM and embedding providers — OpenAI, Azure OpenAI (default), Anthropic, Google Gemini, DeepSeek on Azure, Llama on Azure, HuggingFace, Inception Labs, Snowflake Cortex, Ollama, Pi Labs. Covers `config_llm.yaml` high/low tier model selection, the ModelRouter cost/quality routing l...
Intelligent LLM proxy that routes requests to appropriate models based on complexity. Save money by using cheaper models for simple tasks. Tested with Anthropic, OpenAI, Gemini, Kimi/Moonshot, and Ollama.
AI-powered prediction market analysis across Polymarket and Kalshi with social signals
Gemini CLI enables developers to leverage Google's AI for code generation, file editing, and multi-modal tasks directly from the terminal.
Use when integrating Google Gemini API into projects. Covers model selection, multimodal inputs, streaming, function calling, and production best practices.
Build AI agents with console.agent() - the jQuery of AI Agents. Drop console.agent(...) anywhere in your code for agentic workflows with the simplicity of console.log(). Use when adding AI agent capabilities, debugging with AI, security auditing, intelligent logging, or runtime analysis.
Agent skill for Data Scientist, ML / AI Engineer, Backend Developer, published by lingxling. Project details and file access are provided by the publisher.
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