use▌

This is the main browser automation strategy skill for nontrivial web work. It teaches the agent when to stay on public-web tools, when to use the live browser session, and when to fall back to a separate browser or raw-fetch path.

Complete Railway infrastructure management: projects, services, databases, deployments, environments, object storage, and troubleshooting. \n \n Operates across Railway's resource hierarchy: workspaces, projects, environments, services, buckets, and deployments with CLI context management \n Covers five operational domains: resource setup, code deployment, configuration management, health monitoring, and API/docs access \n Includes preflight authentication checks, context resolution, and multi-s

Fast, persistent browser automation with session continuity across sequential agent commands. \n \n Supports three browser modes: headless Chromium, real Chrome with profile support, and cloud-hosted remote browsers with proxy configuration \n Includes 20+ command categories covering navigation, page inspection, interactions, data extraction, cookie management, JavaScript execution, and wait conditions \n Offers cloud session management, local server tunneling via Cloudflare, and parallel subage

!grep -rh "^go " --include="go.mod" . 2>/dev/null | cut -d' ' -f2 | sort | uniq -c | sort -nr | head -1 | xargs | cut -d' ' -f2 | grep . || echo unknown

AI agents that perceive screens, reason about actions, and control computers like humans do. \n \n Implements the perception-reasoning-action loop: capture screenshot, analyze with vision-language model, execute mouse/keyboard operations, repeat \n Covers Anthropic's Computer Use (Claude 3.5 Sonnet and Opus 4.5), with tool support for screenshots, mouse/keyboard control, bash execution, and file editing \n Requires sandboxed environments (Docker containers with virtual desktops) to isolate agent

The useSearchParams hook requires TWO things:

use-agently is the CLI for Agently — a marketplace for AI agents. It is designed to be operated by AI agents as a first-class use case.

Guides use case pages that bridge product features and real-world customer problems. Scenario-first is the primary organization. BOFU (bottom-of-funnel) pages for SaaS/B2B. Answer "when would I use it?" and "how does it help me?" — distinct from solutions (industry/outcome).

The fundamental architecture of computer use agents: observe screen, reason about next action, execute action, repeat. This loop integrates vision models with action execution through an iterative pipeline.

Use the use_figma tool to execute JavaScript in Figma files via the Plugin API. All detailed reference docs live in references/.