nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install hqman/qveris打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
QVeris provides dynamic tool discovery and execution - search for tools by capability, then execute them with parameters.
Requires environment variable:
QVERIS_API_KEY - Get from https://qveris.ai
uv run scripts/qveris_tool.py search "weather forecast API"
uv run scripts/qveris_tool.py execute openweathermap_current_weather --search-id <id> --params '{"city": "London", "units": "metric"}'
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
Search: Describe the capability needed (not specific parameters)
Select: Review tools by success_rate and avg_execution_time
Execute: Call tool with tool_id, search_id, and parameters
# 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"}'
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
中文文档 | English
A skill that enables Claude Code to dynamically search and execute tools via the QVeris API.
This skill requires uv, a fast Python package manager. Install it first:
macOS and Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
For other installation methods, see the official uv installation guide.
Copy this folder to your Claude Code skills directory:
cp -r qveris ~/.claude/skills/
Set your API key:
export QVERIS_API_KEY="your-api-key-here"
Get your API key at https://qveris.ai
Once installed, Claude Code will automatically use this skill when you ask questions about:
# Search for tools
uv run scripts/qveris_tool.py search "stock price data"
# Execute a tool
uv run scripts/qveris_tool.py execute <tool_id> --search-id <id> --params '{"symbol": "AAPL"}'
MIT
# 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# QVeris Skill for Claude Code
[中文文档](README.zh-CN.md) | English
A skill that enables Claude Code to dynamically search and execute tools via the QVeris API.
## Features
- **Tool Discovery**: Search for APIs by describing what you need
- **Tool Execution**: Execute any discovered tool with parameters
- **Wide Coverage**: Access weather, stocks, search, currency, and thousands more APIs
## Installation
### Prerequisites
This skill requires `uv`, a fast Python package manager. Install it first:
**macOS and Linux:**
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```
**Windows:**
```powershell
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
```
For other installation methods, see the [official uv installation guide](https://docs.astral.sh/uv/getting-started/installation/).
### Install the Skill
1. Copy this folder to your Claude Code skills directory:
```bash
cp -r qveris ~/.claude/skills/
```
2. Set your API key:
```bash
export QVERIS_API_KEY="your-api-key-here"
```
Get your API key at https://qveris.ai
## Usage
Once installed, Claude Code will automatically use this skill when you ask questions about:
- Weather data
- Stock prices and market analysis
- Web searches
- Currency exchange rates
- And more...
### Manual Commands
```bash
# Search for tools
uv run scripts/qveris_tool.py search "stock price data"
# Execute a tool
uv run scripts/qveris_tool.py execute <tool_id> --search-id <id> --params '{"symbol": "AAPL"}'
```
## Author
[@hqmank](https://x.com/hqmank)
## License
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