Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Real-time web search, autosuggest, and AI-powered answers using the official Brave Search API. Use for searching documentation, facts, current events, or any...
Real-time web search, autosuggest, and AI-powered answers using the official Brave Search API. Use for searching documentation, facts, current events, or any...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Real-time web search, autosuggest, and AI-powered answers using the official Brave Search API. Three tools: brave_search โ web results with titles, URLs, descriptions, optional AI summary brave_suggest โ query autosuggestions as users type with optional rich metadata brave_answers โ AI-grounded answers with inline citations powered by live web search
Set your Brave API keys in a local .env file (recommended): # .env (do not commit) BRAVE_SEARCH_API_KEY=your_key_here BRAVE_ANSWERS_API_KEY=your_key_here Or export them in your shell session if needed. Get your keys at: https://api-dashboard.search.brave.com Both keys can be the same if your plan supports both Search and AI Answers endpoints. Note: brave_search and brave_suggest use BRAVE_SEARCH_API_KEY. brave_answers requires BRAVE_ANSWERS_API_KEY. Note: This skill explicitly requires BRAVE_SEARCH_API_KEY and BRAVE_ANSWERS_API_KEY. It does not use a generic BRAVE_API_KEY fallback.
Use brave_search when: Searching for current information, news, or recent events Looking up documentation or technical references Need ranked results with URLs to follow up on Want an AI summary of search results Use brave_suggest when: Power autocomplete in search interfaces Help users formulate better queries faster Need query completions as users type Want rich metadata (titles, descriptions, images) for suggestions Use brave_answers when: Need a synthesized answer with cited sources Researching topics that benefit from multiple sources Want AI-grounded responses with inline citations Deep research mode needed (multi-search) Don't use this skill for: Questions already answered from context or memory Tasks that don't require external information
Web search returning ranked results with titles, URLs, and descriptions. brave_search(query="latest Node.js release", count=5) brave_search(query="TypeScript generics", extra_snippets=true) brave_search(query="current weather Copenhagen", freshness="pd") brave_search(query="React Server Components", summary=true) Parameters: query (required) โ Search query, supports operators: site:, "exact phrase", -exclude count โ Results to return (1-20, default: 10) country โ 2-letter country code (default: us) freshness โ Date filter: pd (24h), pw (7 days), pm (31 days), py (1 year) extra_snippets โ Include up to 5 extra text excerpts per result (default: false) summary โ Fetch Brave AI summarizer result (default: false) Returns: Formatted list of results with title, URL, description, and optional AI summary.
Query autosuggest API providing intelligent query autocompletion as users type. brave_suggest(query="hello") brave_suggest(query="pyt", count=5, country="US") brave_suggest(query="einstein", rich=true) Parameters: query (required) โ Partial query to get suggestions for count โ Number of suggestions (1-10, default: 5) country โ 2-letter country code (default: US) rich โ Include enhanced metadata: titles, descriptions, images, entity detection (default: false, requires paid plan) Returns: List of query suggestions, optionally with rich metadata. Best Practices: Implement debouncing (150-300ms) to avoid excessive API calls as users type Load suggestions asynchronously without blocking the UI
AI-powered answers grounded in live web search with inline citations. brave_answers(query="How does React Server Components work?") brave_answers(query="Compare Postgres vs MySQL for OLAP", enable_research=true) brave_answers(query="Latest Python release notes", enable_citations=true) Parameters: query (required) โ Question or topic to research enable_citations โ Include inline source citations (default: true) enable_research โ Multi-search deep research mode (default: false) country โ Target country for search context (default: us) Returns: AI answer with cited sources extracted from the response, plus token usage.
Brave pricing is credit-based and can change. Do not assume a fixed free request count. Current public guidance (verify in Brave dashboard/docs before production use): Monthly trial credits may be offered (e.g. $5 in monthly credits) Search and Answers consume credits differently Rich suggestions require a paid Autosuggest plan Answers may also include token-based costs QPS limits depend on your plan tier Always check your live limits and usage in: https://api-dashboard.search.brave.com https://brave.com/search/api/
This skill only calls Brave official endpoints under https://api.search.brave.com/res/v1. It requires exactly two env vars: BRAVE_SEARCH_API_KEY and BRAVE_ANSWERS_API_KEY (keep them in .env, not inline in commands/chats). It does not request persistent/system privileges and does not modify system config. It is source-file based (three local Node scripts), with no external install/download step.
This skill uses the official Brave Search API โ not web scraping. Benefits: Reliable, structured JSON responses Rate limit headers and proper error messages Access to AI summarizer, AI answers, and autosuggest endpoints Terms of service compliant
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.