Back to Skills

brave-search

steipete
Updated Today
89 views
468
45
468
View on GitHub
Developmentapi

About

This skill enables headless web search and content extraction using the Brave Search API, requiring only a BRAVE_API_KEY. It allows developers to perform searches and extract article content directly from the command line without a browser. Use it for straightforward web queries and article scraping, but consider the summarize skill for JavaScript-heavy sites that may block extraction.

Quick Install

Claude Code

Recommended
Plugin CommandRecommended
/plugin add https://github.com/steipete/clawdis
Git CloneAlternative
git clone https://github.com/steipete/clawdis.git ~/.claude/skills/brave-search

Copy and paste this command in Claude Code to install this skill

Documentation

Brave Search

Headless web search (and lightweight content extraction) using Brave Search API. No browser required.

Search

node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --content
node {baseDir}/scripts/search.mjs "query" -n 3 --content

Extract a page

node {baseDir}/scripts/content.mjs "https://example.com/article"

Notes:

  • Needs BRAVE_API_KEY.
  • Content extraction is best-effort (good for articles; not for app-like sites).
  • If a site is blocked or too JS-heavy, prefer the summarize skill (it can use a Firecrawl fallback).

GitHub Repository

steipete/clawdis
Path: skills/brave-search
relaywhatsapp

Related Skills

creating-opencode-plugins

Meta

This skill provides the structure and API specifications for creating OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It offers implementation patterns for JavaScript/TypeScript modules that intercept and extend the AI assistant's lifecycle. Use it when you need to build event-driven plugins for monitoring, custom handling, or extending OpenCode's capabilities.

View skill

evaluating-llms-harness

Testing

This Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.

View skill

langchain

Meta

LangChain is a framework for building LLM applications using agents, chains, and RAG pipelines. It supports multiple LLM providers, offers 500+ integrations, and includes features like tool calling and memory management. Use it for rapid prototyping and deploying production systems like chatbots, autonomous agents, and question-answering services.

View skill

cloudflare-turnstile

Meta

This skill provides comprehensive guidance for implementing Cloudflare Turnstile as a CAPTCHA-alternative bot protection system. It covers integration for forms, login pages, API endpoints, and frameworks like React/Next.js/Hono, while handling invisible challenges that maintain user experience. Use it when migrating from reCAPTCHA, debugging error codes, or implementing token validation and E2E tests.

View skill