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Web Search Tavily

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@0xjordansg-yolo

npx machina-cli add skill @0xjordansg-yolo/ai-native-websearch-via-tavily-api-returns-concise-relevant-results-for-openclaw --openclaw
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SKILL.md
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AIsa Tavily Search

AI-optimized web search using Tavily API through AIsa's unified gateway. Designed for AI agents - returns clean, relevant content.

Search

node {baseDir}/scripts/search.mjs "query"
node {baseDir}/scripts/search.mjs "query" -n 10
node {baseDir}/scripts/search.mjs "query" --deep
node {baseDir}/scripts/search.mjs "query" --topic news

Options

  • -n <count>: Number of results (default: 5, max: 20)
  • --deep: Use advanced search for deeper research (slower, more comprehensive)
  • --topic <topic>: Search topic - general (default) or news
  • --days <n>: For news topic, limit to last n days

Extract content from URL

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

Notes:

Source

git clone https://clawhub.ai/0xjordansg-yolo/ai-native-websearch-via-tavily-api-returns-concise-relevant-results-for-openclawView on GitHub

Overview

Web search powered by Tavily API through AIsa's gateway. It returns concise, relevant results tailored for AI agents. Adjustable depth, topic, and result count help you target fast, usable sources.

How This Skill Works

Queries are sent to Tavily API via AIsa's unified gateway, returning concise results for AI agents. The CLI supports -n, --deep, --topic, and --days to shape results; an AISA_API_KEY is required for authentication. Outputs are designed to be clean and ready for downstream processing.

When to Use It

  • When you need concise, relevant web results for an AI agent's task
  • When researching current events with the topic set to news
  • When you want deeper, more thorough results using --deep
  • When you want a specific number of results using -n
  • When building automation that requires results via AIsa's gateway with an API key

Quick Start

  1. Step 1: Ensure AISA_API_KEY is set in your environment
  2. Step 2: Run a basic search: node {baseDir}/scripts/search.mjs "query"
  3. Step 3: Customize with -n, --deep, --topic, or --days as needed

Best Practices

  • Set and secure your AISA_API_KEY in the environment before running searches
  • Use --topic news with --days to focus on recent events
  • Use --deep for complex research questions, but be aware it may be slower
  • Limit results with -n to keep responses lightweight and fast
  • Cross-check critical sources by visiting URLs or corroborating with multiple results

Example Use Cases

  • node {baseDir}/scripts/search.mjs "quantum computing" -n 5
  • node {baseDir}/scripts/search.mjs "AI safety" --topic news --days 7
  • node {baseDir}/scripts/search.mjs "blockchain scalability" --deep -n 10
  • node {baseDir}/scripts/search.mjs "climate change mitigation" -n 8 --topic general
  • node {baseDir}/scripts/search.mjs "neural networks" --deep --topic news --days 1

Frequently Asked Questions

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