Environment detection helps check system and hardware tools, Python packages, Docker and network status, and exports detailed results and reports.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install tilannlouOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install tilannlouβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/tilannlou/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Environmental detection can do for your AI workflow
Environment detection helps directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Environmental detection
Help me get started with Environmental detection
Explains what Environmental detection does, walks through the setup, and runs a quick demo based on your current project
Use Environmental detection to environment detection helps check system and hardware tools, Python...
Invokes Environmental detection with the right parameters and returns the result directly in the conversation
What can I do with Environmental detection in my developer & devops workflow?
Lists the top use cases for Environmental detection, with example commands for each scenario
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Environmental detection extends your AI assistant with the ability to environment detection helps check system and hardware tools, Python packages, Docker and network status, and exports detailed results and reports. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Environmental detection as its underlying capability.
Environmental detection works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Environmental detection once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Environmental detection, copy the skill folder to `~/.claude/skills/tilannlou/` for use across all your projects, or `.claude/skills/tilannlou/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/tilannlou` or just describe your goal and the AI will pick it up automatically.
Environmental detection has 309 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/tilannlou/ for personal use (all projects), or .claude/skills/tilannlou/ for project-specific use. Restart your AI client, then invoke with /tilannlou or let the AI discover it automatically.
Environmental detection supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Environmental detection is free to install. Check the repository for licensing information.
Environment detection helps check system and hardware tools, Python packages, Docker and network status, and exports detailed results and reports.
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Environmental detection is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.