Use Case
Tavily Search isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Web search using Tavily's LLM-optimized API. Returns relevant results with content snippets, scores, and metadata. This guide covers how to deploy Tavily Search for your team, standardize prompts, and create shared workflows that everyone can use.
Install Tavily Search in your project directory: .claude/skills/liang-tavily-search/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Tavily Search in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Tavily Search
How can my team use Tavily Search together?
Set up Tavily Search for our project so everyone can use it
Create a shared workflow using Tavily Search for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install liang-tavily-searchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install liang-tavily-searchβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/liang-tavily-search/π‘Extract and place the folder at the path above, then restart your agent.