A comprehensive Serper.dev integration providing AI agents with rich Google Search results across multiple specialized verticals.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install serper-google-search
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install serper-google-search using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Google Search Skill?
The Google Search Skill is a robust replacement for standard search tools, offering deep integration with the Google search ecosystem via the Serper.dev API. Designed for developers using Openclaw Skills, this tool enables AI agents to retrieve more than just links, pulling in structured data like Knowledge Graphs, Answer Boxes, and People Also Ask snippets. By utilizing this skill, agents can gain a more nuanced understanding of the web through specialized search types including News, Images, Videos, and Academic Scholar results.
Google Search Skill Use Cases
- Performing real-time market research and news monitoring with specific time filters.
- Automating academic and patent searches for technical documentation and R&D.
- Gathering local business information and restaurant data using the places search vertical.
- Enhancing agent reasoning by retrieving rich snippets like the Knowledge Graph and related questions.
- Investigating product pricing and shopping availability through dedicated commerce queries.
How Google Search Skill Works
- The AI agent analyzes the user's prompt to determine the specific search intent (e.g., news vs. general search).
- The skill invokes the Serper.dev API using a TypeScript-based CLI command with relevant parameters like country or timeframe.
- The system fetches rich SERP data, including organic results and specialized modules like Answer Boxes.
- Resulting data is returned to the agent, providing a credit balance update to monitor API usage.
- The agent parses the results and can optionally trigger secondary actions like web fetching for deeper content analysis.
Google Search Skill Setup
To get started with this skill in your Openclaw Skills environment, ensure you have a Serper.dev API key.
# Set your API key environment variable
export SERPER_API_KEY='your_serper_api_key_here'
# Run a basic search to verify installation
npx tsx google-search.ts search "Openclaw Skills features" --num 5
Google Search Skill Data Schema & Taxonomy
The Google Search Skill organizes data into highly structured formats to maximize agent comprehension. Use the --json flag for raw data processing.
| Component | Description |
|---|---|
| Knowledge Graph | Structured entity information and summaries. |
| Answer Box | Direct answers and featured snippets from Google. |
| People Also Ask | Array of related questions and initial answers. |
| Verticals | Dedicated schemas for News, Images, Places, and Scholar. |
| Credit Monitor | Real-time tracking of Serper.dev credit consumption per request. |
Google Search Skill Advanced Features
- Time-based filtering (hour, day, week, month, year) for recency-sensitive research.
- Multi-vertical support allowing seamless switching between patents, shopping, and scholar data.
- Suggestion engine integration to access Google Autocomplete for query refinement.
- Localized search support via country and language parameters for geo-specific results.
- JSON output mode for direct programmatic integration into data pipelines.
SKILL.md
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