ai-image-generation
ai image generation
agent-browser
Fast, persistent browser automation with session continuity across sequential agent commands.
Full skill instructions
Fast browser automation CLI for AI agents. Chrome/Chromium via CDP with accessibility-tree snapshots and compact @eN element refs.
Install: npm i -g agent-browser && agent-browser install
This file is a discovery stub, not the usage guide. Before running any agent-browser command, load the actual workflow content from the CLI:
agent-browser skills get core # start here — workflows, common patterns, troubleshooting
agent-browser skills get core --full # include full command reference and templates
The CLI serves skill content that always matches the installed version, so instructions never go stale. The content in this stub cannot change between releases, which is why it just points at skills get core.
Load a specialized skill when the task falls outside browser web pages:
agent-browser skills get electron # Electron desktop apps (VS Code, Slack, Discord, Figma, ...)
agent-browser skills get slack # Slack workspace automation
agent-browser skills get dogfood # Exploratory testing / QA / bug hunts
agent-browser skills get vercel-sandbox # agent-browser inside Vercel Sandbox microVMs
agent-browser skills get agentcore # AWS Bedrock AgentCore cloud browsers
Run agent-browser skills list to see everything available on the installed version.
The dashboard runs independently of browser sessions on port 4848 and can also be opened through a proxied or forwarded URL such as https://dashboard.agent-browser.localhost. Agents should stay on the dashboard origin: session tabs, status, and stream traffic are proxied internally, so session ports do not need to be exposed.
ai image generation
ai video generation
agent tools
ai avatar video
Optimize content for discovery, citation, and visibility across AI search platforms and LLM assistants.
Official skill for integrating Firebase AI Logic (Gemini API) into web applications. Covers setup, multimodal inference, structured output, and security.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Smart router across 11+ image models for text-to-image and image-to-image generation via RunComfy CLI.
Route across 10+ video models (HappyHorse, Kling, Seedance, Veo, Wan, Hailuo, Dreamina) for text-to-video, image-to-video, and video extension.
Create talking-head and avatar videos by routing audio + image across five specialized models.
Generate vocal songs, instrumentals, jingles, and game loops via smart model routing across ElevenLabs and ACE Step.
ai-image-generation
A tool to turn screen demos into automated workflows.
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