google-search
Google Search grounding allows LLM applications to access real-time information and provide verifiable citations. This skill covers both direct tool integration (like Gemini's googlesearch) and custom API implementations.
npx skills add majiayu000/claude-skill-registry --skill google-search --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
--- name: google-search description: Integration patterns for web search grounding, including query operator usage, API-based search orchestration, and citation metadata mapping. Triggers: google-search, grounding, search-api, citations, search-operators, web-search. --- # Google Search Grounding ## Overview Google Search grounding allows LLM applications to access real-time information and provide verifiable citations. This skill covers both direct tool integration (like Gemini's `google_search`) and custom API implementations. ## When to Use - **Fact-Checking**: When the LLM needs to confirm recent events (e.g., Euro 2024 results). - **Source Attribution**: When user trust requires seeing direct links to the information source. - **Niche Research**: Using operators like `site:` to restrict information to specific domains. ## Decision Tree 1. Does the model support built-in grounding (e.g., Gemini)? - YES: Enable `google_search` tool. - NO: Use Custom Search API. 2. Do you need to restrict search to specific sites? - YES: Use `site:example.com` operator (no spaces). 3. Do you need to exclude terms? - YES: Use `-term` operator. ## Workflows ### 1. Implementing Search Grounding (Too
- Overview
- When to Use
- Decision Tree
- Workflows
- 1. Implementing Search Grounding (Tool-based)
- 2. Precise Source Targeting
- 3. Custom Search API Integration
- Non-Obvious Insights
- Evidence
- Scripts
- Dependencies
- References
What does the google-search skill do?
Google Search grounding allows LLM applications to access real-time information and provide verifiable citations. This skill covers both direct tool integration (like Gemini's googlesearch) and custom API implementations.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill google-search --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.