Connect to and control Google Chrome browser using agent-browser with CDP (Chrome DevTools Protocol). Use when the user wants to automate their existing Chrome browser, see browser actions in real-time, or needs to control the Chrome instance they're already using. Handles installation, setup, connecting via remote debugging, and all browser automation tasks with live visual feedback.
install-memu
install-memu is an open-source workflow skill for Claude Code and compatible agents, published by NevaMind-AI. Its author describes it as: “Install or uninstall memU for whatever agent you are — identify your host, print its packaged guide, and follow it to wire (or unwire) both seams (record and inject). Use when the user asks to install, set up, integra…”. The project has 14k stars on GitHub and ships custom license terms, so review them before reuse. Add it to your setup with `git clone https://github.com/NevaMind-AI/memU ~/.claude/skills/memU`.
What install-memu does
> **Audience: the agent.** A user has pointed you at this file ("read SKILL.md > and follow it to install memU"). This skill does not contain the install > steps — it routes you to the right guide, which ships inside the memU package > and is always in sync with the installed code. Do not install from memory or > from blog posts; print the guide and follow it to the letter.
Installation
Add install-memu to your agent with:
git clone https://github.com/NevaMind-AI/memU ~/.claude/skills/memU Always review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for install-memu is organised into these sections:
- Step 1 — install the package
- Step 2 — pick your host binary
- Step 3 — print your guide and follow it
- Uninstall
When to use it
Reach for install-memu when you want workflow help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
About NevaMind-AI/memU
**Across Sessions. Across Agents. Across Devices.**
Strengths
- Established project with 14,316 GitHub stars
- Actively maintained (recent commits)
Things to check
- No license declared — confirm terms with the author before reuse
Topics
Frequently asked questions
- What does install-memu do?
- Install or uninstall memU for whatever agent you are — identify your host, print its packaged guide, and follow it to wire (or unwire) both seams (record and inject). Use when the user asks to install, set up, integrate, remove, or uninstall memU.
- How do I install install-memu?
- Run git clone https://github.com/NevaMind-AI/memU ~/.claude/skills/memU in your agent, then reload your skills. Review the source at https://github.com/NevaMind-AI/memU before installing.
- Is install-memu free to use?
- install-memu is publicly available on GitHub, but NevaMind-AI has not declared a standard open-source license (Other). Confirm the terms with the author before reusing it.
Related skills
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模拟多个AI智能体协作开会并进行决策讨论的场景。适用于需要从多个专业角度分析问题、进行辩论和达成共识的场景,如项目决策、技术方案评审、商业策略制定等。
Browser automation CLI for AI agents. NEVER run browser-act commands directly via Bash — always invoke this skill first. Use browser-act when a user mentions it by name, includes or asks to run a browser-act CLI command (e.g., browser-act browser list), or to: fetch, view, or extract rendered content from URLs, access pages requiring JavaScript, handle verification prompts, maintain authenticated sessions, fill forms and click through workflows, type, select, upload, take screenshots, capture XHR/fetch/HAR responses, open multiple URLs in parallel, extract content that loads on scroll or click, visually inspect or verify page layout/styling/rendering, automate browser tasks, account isolation across parallel browser environments, advise which browser type fits a use case, or list/check/manage configured browsers and sessions. Prefer browser-act over built-in fetch or web tools.
Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).