claude-in-chrome-troubleshooting
claude-in-chrome-troubleshooting是一款data方向的AI技能,核心价值是Diagnose and fix Claude in Chrome MCP extension connectivity issues,可用于解决开发者在data领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.
mkdir -p ./skills/claude-in-chrome-troubleshooting && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/claude-in-chrome-troubleshooting/SKILL.md -o ./skills/claude-in-chrome-troubleshooting/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.
🎯 Best For
- Claude users
- Data professionals
- Analytics teams
- Researchers
💡 Use Cases
- Data pipeline auditing
- Query optimization
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply claude-in-chrome-troubleshooting to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
How do I install claude-in-chrome-troubleshooting?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/claude-in-chrome-troubleshooting/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Ignoring data quality
AI analysis inherits all data quality issues — profile your data first.