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.
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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/qveris/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How qveris Compares
| Feature / Agent | qveris | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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 toolsRelated Skills
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