Loading...
Loading...
Found 570 Skills
Model Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.
Generates AI images using the nano-banana CLI (Gemini 3.1 Flash default, Pro available). Handles multi-resolution (512-4K), aspect ratios, reference images for style transfer, green screen workflow for transparent assets, cost tracking, and exact dimension control. Use when asked to "generate an image", "create a sprite", "make an asset", "generate artwork", or any image generation task for UI mockups, game assets, videos, or marketing materials.
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.
Claude-Codex-Gemini tri-model orchestration via ask-codex + ask-gemini, then Claude synthesizes results
Video understanding and transcription with intelligent multi-provider fallback. Use when: (1) Transcribing video or audio content, (2) Understanding video content including visual elements and scenes, (3) Analyzing YouTube videos by URL, (4) Extracting information from local video files, (5) Getting timestamps, summaries, or answering questions about video content. Automatically selects the best available provider based on configured API keys - prefers full video understanding (Gemini/OpenRouter) over ASR-only providers. Supports model selection per provider.
Fetch content from Reddit using Gemini CLI when WebFetch is blocked. Use when accessing Reddit URLs, researching topics on Reddit, or when Reddit returns 403/blocked errors.
Use when generating images with Gemini models, choosing between Nano Banana 1/2/Pro, optimizing image generation costs, writing image prompts, or needing visual grounding with real-world reference images
Execute a comprehensive, framework-agnostic Security Audit. Detects project type at runtime and adapts security checks accordingly. Analyzes sensitive files, source code secrets, dependency vulnerabilities, and optionally uses Gemini AI for advanced analysis. Produces a severity-classified report. Use when the user asks to audit security, scan for vulnerabilities, check for secrets, or assess dependency risks. Triggers on: 'security audit', 'vulnerability scan', 'secret scan', 'dependency audit', 'security check', 'pentest', 'owasp'.
Generate and edit images using Google's Gemini image models (Nano Banana 2 default, Nano Banana Pro legacy). Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image, image editing with up to 14 reference images, configurable resolution (0.5K-4K), aspect ratio, and adjustable thinking. DO NOT read the image file first - use this skill directly with the --input-image parameter.
Generate and edit images using Google's Gemini image generation models (Nano Banana family). Supports style presets, platform-specific sizing (YouTube/slides/blog), variants, image editing via inlineData, reference images for style transfer, and organized output with metadata. Default model is Nano Banana 2 (gemini-3.1-flash-image-preview). Key is auto-decrypted via SOPS.
Analyze local or downloaded social video files with the official Gemini API, especially for TikTok/Reels benchmark breakdowns, script decomposition, and structured JSON outputs. Use this when you need video-level analysis beyond metadata, including uploading video files, prompting Gemini 3.1 Pro Preview, and linking results back to source metadata.