newapi
0This skill enables AI agents to interact with new APIs, useful for developers and researchers. It streamlines API integration and enhances functionality in AI applications.
78130Updated Today
API Integration
Quick InstallView Source
$ npx skills add https://github.com/quantumnous/skills --skill newapiOverview
About This Skill
The newapi skill enables AI agents to interact with new-api, an open-source AI gateway platform. It provides commands to list available models, manage user groups, monitor account balance, and handle API tokens securely. Developers can create tokens, switch token groups, and apply credentials to config files or commands without exposing sensitive keys. The skill streamlines gateway resource management within AI applications by automating token lifecycle operations and configuration management.
How to Use
Install via the command provided.
Use Cases
Integrating AI with external APIs
Developing chatbot features using APIs
Enhancing data retrieval for AI agents
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/quantumnous/skills --skill newapiAlternative Install (Git Clone)
git clone https://github.com/quantumnous/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as an API integration specialist and help integrate the [API_NAME] API into [COMPANY]'s [INDUSTRY] workflow. Provide the exact HTTP requests, authentication steps, and response parsing needed to fetch [DATA] from the API. Include error handling for common issues like rate limits or invalid parameters. Use this API documentation for reference: [API_DOCUMENTATION_LINK].
Example Output
### API Integration Guide for [COMPANY]
Here’s a step-by-step integration of the **WeatherAPI** into your logistics tracking system to fetch real-time temperature data for delivery routes:
---
#### 1. **Authentication Setup**
- **API Key:** `your_api_key_here` (Replace with your actual key from WeatherAPI’s dashboard).
- **Base URL:** `https://api.weatherapi.com/v1/current.json`
- **Headers:** Add `key: your_api_key_here` to all requests.
#### 2. **Fetching Data for Route Optimization**
**Endpoint:** `/current.json`
**Request:**
```http
GET https://api.weatherapi.com/v1/current.json?key=your_api_key_here&q=New+York&aqi=no
```
**Response Example:**
```json
{
"location": {
"name": "New York",
"region": "New York",
"country": "United States",
"lat": 40.71,
"lon": -74.01
},
"current": {
"temp_c": 12.5,
"condition": {
"text": "Partly cloudy",
"icon": "//cdn.weatherapi.com/weather/64x64/day/116.png"
},
"wind_kph": 15.3,
"humidity": 68
}
}
```
#### 3. **Error Handling**
- **403 Forbidden:** Check if the API key is valid or expired.
- **429 Too Many Requests:** Implement a 1-second delay between calls.
- **404 Not Found:** Verify the location parameter (e.g., `q=San+Francisco`).
---
**Next Steps:**
- Cache responses for 10 minutes to reduce API calls.
- Use the `temp_c` value to adjust delivery routes for extreme weather.
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