Use this skill when the user requests current information, documentation, coding examples, or web research beyond the knowledge cutoff. Queries Google's AI Search mode to retrieve comprehensive AI-generated overviews with source citations from 100+ websites. Returns markdown with inline footnoted references [1][2][3]. You will receive a detailed Markdown file with references and information summarized directly from Google's AI search. Ideal for you to get new information and clues for further research.
Use this skill when the user requests current information, documentation, coding examples, or web research beyond the knowledge cutoff. Queries Google's AI Search mode to retrieve comprehensive AI-generated overviews with source citations from 100+ websites. Returns markdown with inline footnoted references [1][2][3]. You will receive a detailed Markdown file with references and information summarized directly from Google's AI search. Ideal for you to get new information and clues for further research.
Google AI Mode Skill
Query Google's AI Search mode to retrieve comprehensive, source-grounded answers from across the web.
When to Use This Skill
Trigger this skill when the user:
Requests current information beyond the knowledge cutoff (post-January 2025)
Needs documentation or API references for libraries and frameworks
Asks for coding examples or implementation patterns
Wants technical comparisons or best practices
Requires research with citations and sources
Mentions "Google AI search", "Google AI mode", or "web research"
Include version numbers for library/framework queries
Examples
User Query
Optimized Query
"React hooks"
"React hooks best practices 2026 (useState, useEffect, custom hooks, common pitfalls). Provide code examples."
"What's new in Rust?"
"Rust 1.75 new features 2026 (async traits, impl Trait improvements, const generics, stabilized APIs). Include migration guide and code examples."
"PostgreSQL vs MySQL performance?"
"PostgreSQL vs MySQL performance comparison 2026 (query optimization, indexing strategies, concurrent writes, JSON handling, scaling patterns). Provide benchmark data and use case recommendations."
"How to handle errors in Go?"
"Go error handling patterns 2026 (error wrapping, custom errors, sentinel errors, panic vs error, testing error cases). Provide code examples and best practices comparison."
"Learn FastAPI basics"
"FastAPI tutorial 2026 (routing, dependency injection, async endpoints, request validation with Pydantic, OpenAPI documentation, testing). Include step-by-step implementation guide."
Note: If user provides an already detailed query with version numbers and requirements, use it as-is.
Workflow
Receive user request
Optimize query using template above
Inform user: "Searching for: '[optimized query]'"
Execute search with --save --debug flags
Return results with inline citations [1][2][3]
Script Execution
CRITICAL: Always use the run.py wrapper. Direct script execution will fail.
Automatic Handling: If CAPTCHA detected in headless mode → script returns CAPTCHA_REQUIRED error
Manual Solution: Re-run with --show-browser flag, solve CAPTCHA in browser, script continues automatically
Note: After CAPTCHA is solved once, persistent context preserves the session → future searches won't require CAPTCHA.
Output Format
Returns markdown with inline citations and source list. Example:
React 18 introduces concurrent features including Suspense for data fetching[1],
automatic batching for state updates[2], and transitions for non-urgent updates[3].
---
## Sources:
[1] React 18 Release Notes
https://react.dev/blog/2022/03/29/react-v18
[2] Automatic Batching Explained
https://github.com/reactwg/react-18/discussions/21
[3] Transitions API Documentation
https://react.dev/reference/react/useTransition
python scripts/run.py search.py --query "GraphQL vs REST API 2026 (performance, caching, tooling, type safety, learning curve). Comparison table with use case recommendations." --save
