Use Case
Qveris isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock trading analysis, etc.). Requires QVERIS_API_KEY environment variable. This guide covers how to deploy Qveris for your team, standardize prompts, and create shared workflows that everyone can use.
Install Qveris in your project directory: .claude/skills/qveris/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Qveris 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 Qveris
How can my team use Qveris together?
Set up Qveris for our project so everyone can use it
Create a shared workflow using Qveris for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install qverisOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install qverisβ 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/qveris/π‘Extract and place the folder at the path above, then restart your agent.