brave-api-search

What This Skill Does

The brave-api-search skill empowers OpenClaw agents to perform real-time web searches, retrieve smart autosuggestions, and generate AI-grounded answers with verifiable citations. By integrating with the official Brave Search API, the skill provides a powerful conduit for the latest information, effectively bypassing the limitations of static knowledge bases. Whether you need the current state of a software library, breaking news, or a synthesized answer to a complex research question, this toolset provides direct access to the web.

Installation

To integrate this skill, use the ClawHub command: clawhub install openclaw/skills/skills/broedkrummen/brave-api-search. Once installed, you must configure your environment variables. Ensure the following keys are present in your .env file:

• BRAVE_SEARCH_API_KEY: Required for brave_search and brave_suggest.
• BRAVE_ANSWERS_API_KEY: Required for brave_answers. You can obtain these keys via the Brave Search API Dashboard. It is recommended to use local environment variables to keep your credentials secure.

Use Cases

• Research and Synthesis: Use brave_answers to get concise, cited responses on broad technical or historical topics.
• Real-Time Data Retrieval: Utilize brave_search to pull current documentation, check for the latest package versions, or monitor live events.
• Interface Enhancement: Integrate brave_suggest into custom agent workflows to provide predictive query completion, improving the user experience for search-heavy tasks.

Example Prompts

1. "Perform a search for the latest documentation on React Server Components and summarize the key benefits for performance."
2. "What are the most recent updates to the Python 3.12 release? Please provide an AI-generated answer with citations."
3. "I'm looking for information on quantum computing; suggest some common search queries that would help me narrow down this broad topic."

Tips & Limitations

• API Usage: Monitor your Brave Search API usage regularly. Ensure your plan covers both standard search and the specialized AI answers endpoint.
• Precision: Use search operators like site: to limit results to specific documentation domains, which helps improve the quality of AI-summarized responses.
• Scope: Do not rely on this skill for tasks that can be resolved via the agent's internal memory or static context window to save on API costs and reduce latency.