Quick Start
Run this command in your project directory:Install a Specific Skill
- Python SDK
- TypeScript SDK
Supported AI Coding Assistants
The skills work with any AI coding assistant that supports the Agent Skills format:What the Skills Provide
Once installed, your AI coding assistant will have knowledge of:- SDK Installation & Setup — How to install and configure AI Gateway SDKs in Python and TypeScript projects
- Chat Completions — Making LLM calls with full streaming support
- Observability & Tracing — Adding trace IDs, metadata, and custom tags for debugging
- Caching — Semantic and simple caching to reduce costs and latency
- Fallbacks — Automatic failover when a provider fails
- Load Balancing — Distribute traffic across multiple providers or API keys
- Multi-Provider Routing — Route requests to 3,000+ LLMs through a unified API
- Error Handling — Proper retry logic and error handling patterns
- Framework Integrations — Working with LangChain, LlamaIndex, Strands, and Google ADK
Example Usage
After installing the skills, your AI assistant can help you with tasks like: “Help me set up the AI Gateway with OpenAI fallback to Anthropic” The assistant will know to use: “Add request tracing to my AI Gateway calls” The assistant understands the observability API:- Python
- TypeScript
Installation Options
List Available Skills
Project-Level Installation (Default)
Installs skills to your current project directory:Global Installation
Installs skills globally so they’re available across all your projects:Target Specific Agent
Install for a specific AI coding assistant only:Manual Installation
If you prefer to install manually, copy the skill files to your project’s skills directory:- Claude Code
- Cursor
Updating the Skills
To get the latest SDK documentation, re-run the install command:Repository
The skill source is available at: github.com/portkey-ai/skills Contributions and feedback are welcome.Skills Repository
View the skills source on GitHub

