qveris

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.

7 stars

Best use case

qveris is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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.

Teams using qveris should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/qveris/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/hqman/qveris/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/qveris/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How qveris Compares

Feature / AgentqverisStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# QVeris Tool Search & Execution

QVeris provides dynamic tool discovery and execution - search for tools by capability, then execute them with parameters.

## Setup

Requires environment variable:
- `QVERIS_API_KEY` - Get from https://qveris.ai

## Quick Start

### Search for tools
```bash
uv run scripts/qveris_tool.py search "weather forecast API"
```

### Execute a tool
```bash
uv run scripts/qveris_tool.py execute openweathermap_current_weather --search-id <id> --params '{"city": "London", "units": "metric"}'
```

## Script Usage

```
scripts/qveris_tool.py <command> [options]

Commands:
  search <query>     Search for tools matching a capability description
  execute <tool_id>  Execute a specific tool with parameters

Options:
  --limit N          Max results for search (default: 5)
  --search-id ID     Search ID from previous search (required for execute)
  --params JSON      Tool parameters as JSON string
  --max-size N       Max response size in bytes (default: 20480)
  --json             Output raw JSON instead of formatted display
```

## Workflow

1. **Search**: Describe the capability needed (not specific parameters)
   - Good: "weather forecast API"
   - Bad: "get weather for London"

2. **Select**: Review tools by `success_rate` and `avg_execution_time`

3. **Execute**: Call tool with `tool_id`, `search_id`, and `parameters`

## Example Session

```bash
# Find weather tools
uv run scripts/qveris_tool.py search "current weather data"

# Execute with returned tool_id and search_id
uv run scripts/qveris_tool.py execute openweathermap_current_weather \
  --search-id abc123 \
  --params '{"city": "Tokyo", "units": "metric"}'
```

## Use Cases

- **Weather Data**: Get current weather, forecasts for any location
- **Stock Market**: Query stock prices, historical data, earnings calendars
- **Search**: Web search, news retrieval
- **Data APIs**: Currency exchange, geolocation, translations
- **And more**: QVeris aggregates thousands of API tools

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