Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically β covers weather, search, stocks, finance,...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install qverisai-1-0-1Or via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install qverisai-1-0-1β 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/qverisai-1-0-1/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What Qverisai 1.0.1 can do for your AI workflow
Dynamic tools via qveris api directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Qverisai 1.0.1
Help me get started with Qverisai 1.0.1
Explains what Qverisai 1.0.1 does, walks through the setup, and runs a quick demo based on your current project
Use Qverisai 1.0.1 to search and execute dynamic tools via QVeris API
Invokes Qverisai 1.0.1 with the right parameters and returns the result directly in the conversation
What can I do with Qverisai 1.0.1 in my finance & investment workflow?
Lists the top use cases for Qverisai 1.0.1, with example commands for each scenario
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Qverisai 1.0.1 extends your AI assistant with the ability to search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically β covers weather, search, stocks, finance,... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Qverisai 1.0.1 as its underlying capability.
Qverisai 1.0.1 works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Qverisai 1.0.1 once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Qverisai 1.0.1 installs like any other MCP skill: drop the folder into `~/.claude/skills/qverisai-1-0-1/` for global access, or `.claude/skills/qverisai-1-0-1/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/qverisai-1-0-1`, or let the AI decide when it's the right tool for your request.
Qverisai 1.0.1 has 447 installs and is part of the growing Finance & Investment skill ecosystem on DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/qverisai-1-0-1/ for personal use (all projects), or .claude/skills/qverisai-1-0-1/ for project-specific use. Restart your AI client, then invoke with /qverisai-1-0-1 or let the AI discover it automatically.
Qverisai 1.0.1 supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Qverisai 1.0.1 is free to install. Check the repository for licensing information.
Search and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically β covers weather, search, stocks, finance,...
Automate my finance & investment tasks using Qverisai 1.0.1
Identifies repetitive steps in your workflow and sets up Qverisai 1.0.1 to handle them automatically
Qverisai 1.0.1 is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.