Use Case
Verified Research Engine (Web + Academic + Confidence Score) isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Intelligent search for agents. Multi-source retrieval across web, scholar, Tavily, and Perplexity Sonar models. This guide covers how to deploy Verified Research Engine (Web + Academic + Confidence Score) for your team, standardize prompts, and create shared workflows that everyone can use.
Install Verified Research Engine (Web + Academic + Confidence Score) in your project directory: .claude/skills/openclaw-aisa-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 Verified Research Engine (Web + Academic + Confidence Score) 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 Verified Research Engine (Web + Academic + Confidence Score)
How can my team use Verified Research Engine (Web + Academic + Confidence Score) together?
Set up Verified Research Engine (Web + Academic + Confidence Score) for our project so everyone can use it
Create a shared workflow using Verified Research Engine (Web + Academic + Confidence Score) for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install openclaw-aisa-searchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install openclaw-aisa-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/openclaw-aisa-search/π‘Extract and place the folder at the path above, then restart your agent.