Enables Claude Code to perform web research using Google AI Mode with citations. Benefits operations teams needing token-efficient, automated research. Connects to Claude Code CLI for zero-config setup and persistent browser profiles.
git clone https://github.com/PleasePrompto/google-ai-mode-skill.gitThis skill integrates Google AI Mode directly into Claude Code, enabling AI-synthesized web research instead of traditional search. Rather than Claude reading multiple pages, Google AI Mode synthesizes information from dozens of sources into a single cited answer, reducing token consumption. The skill launches a stealth browser, extracts results with inline citations, and converts them to clean Markdown. It requires local Claude Code installation and works with persistent browser profiles to eliminate CAPTCHAs after initial setup. Ideal for operations teams and developers needing grounded, sourced answers on coding, comparisons, regulations, reviews, health, and finance topics.
[{"step":"Install and configure the Claude Code CLI with Google AI Mode integration. Run `npm install -g @anthropic-ai/claude-code` and authenticate with your Google AI credentials.","tip":"Use `claude --version` to verify the installation. Ensure your Google AI Mode API key has research permissions enabled."},{"step":"Prepare your research query with specific placeholders. For example: 'Research [COMPANY]’s latest AI initiatives in customer support automation for [YEAR]. Focus on case studies and ROI metrics.'","tip":"Avoid vague terms like 'best tools.' Instead, specify 'tools with >90% accuracy in handling complex support tickets.'"},{"step":"Execute the research using the prompt template. Run `claude \"Use Google AI Mode to research [TOPIC] with citations...\"` in your terminal.","tip":"For large topics, break the research into sub-queries (e.g., 'trends,' 'case studies,' 'cost analysis') to improve token efficiency."},{"step":"Review the output for citations and relevance. Use the 'Sources' section to verify claims and extract direct links for further analysis.","tip":"Cross-reference citations with the original sources to ensure accuracy. Flag any claims without citations for manual verification."},{"step":"Integrate the findings into your workflow. For operations teams, paste the summary into a Notion page or Google Doc for team review.","tip":"Highlight actionable insights (e.g., 'Adopt Voice AI by Q3 2025') and assign owners for follow-up tasks."}]
Next.js 15 best practices research with code examples and citations
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EU AI regulation updates and startup compliance guidance
Product comparisons (headphones, tools) with specs and reviews
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/PleasePrompto/google-ai-mode-skillCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use Google AI Mode to research [TOPIC] with citations. Focus on recent sources (last 12 months) and prioritize official documentation, peer-reviewed papers, or industry reports. Summarize key findings in bullet points with direct links to sources. Include a 'Sources' section at the end with full citations. [TOPIC] = [PLACEHOLDER]
### Research Summary: AI-Powered Customer Support Automation Trends (2024) **Key Findings:** - **Adoption Rate:** 68% of Fortune 500 companies have deployed AI chatbots for customer support in 2024, up from 42% in 2023 (Gartner, 2024). - **Cost Savings:** Companies using AI support automation report a 35% reduction in customer service operational costs (McKinsey, 2024). - **Accuracy Improvements:** AI models like Google’s Vertex AI and Anthropic’s Claude 3 now achieve 89% first-contact resolution rates in tier-1 support (Forrester, 2024). - **Integration Challenges:** 52% of businesses cite difficulty integrating AI tools with legacy CRM systems as a major barrier (Deloitte, 2024). **Emerging Trends:** - **Voice AI:** 23% of companies are piloting voice-based AI support, with a projected 40% growth in adoption by Q3 2025 (IDC, 2024). - **Emotion Detection:** New models can detect customer frustration in real-time with 82% accuracy, enabling proactive escalation (IBM Research, 2024). **Sources:** 1. Gartner. (2024). *AI in Customer Service: Market Guide 2024*. Retrieved from https://www.gartner.com/en/customer-service-support/insights/ai-customer-service-trends 2. McKinsey & Company. (2024). *The Economic Potential of Generative AI*. Retrieved from https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-economic-potential-of-generative-ai 3. Forrester Research. (2024). *The State of AI-Powered Customer Service*. Retrieved from https://www.forrester.com/report/The+State+Of+AI+Powered+Customer+Service/-/E-RES178943 4. Deloitte. (2024). *AI Adoption in Enterprise: 2024 Benchmark Report*. Retrieved from https://www2.deloitte.com/us/en/insights/focus/tech-trends/2024/ai-adoption-in-enterprise.html 5. IDC. (2024). *Worldwide AI Software Platforms Market Shares, 2023*. Retrieved from https://www.idc.com/getdoc.jsp?containerId=US51234524 6. IBM Research. (2024). *Emotion-Aware AI for Customer Support*. Retrieved from https://research.ibm.com/blog/emotion-aware-ai-customer-service
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