Prompt Engineering
Prompt engineering is the practice of crafting input text (prompts) to get the best possible output from AI models. It involves structuring instructions, providing examples, and setting context to guide the model toward the desired response.
How It Works
Effective prompts are specific, structured, and include relevant context. Common techniques include: few-shot prompting (providing examples), chain-of-thought (asking the model to reason step by step), role-playing (telling the model to act as a specific expert), and system prompts (persistent instructions that shape all responses). The difference between a vague prompt and a well-engineered one can be the difference between useless output and exactly what you need.
Prompt Engineering in Chapeta
Chapeta's Skills system is essentially a prompt engineering toolkit. Each skill bundles a system prompt (the "engineering" part) with tool configurations and model parameters. Instead of manually crafting prompts each time, you define a skill once and reuse it. The 15 built-in skills represent battle-tested prompt engineering for common tasks like summarization, translation, and code review.
Related
More Terms
OpenRouter
OpenRouter is a unified API gateway that provides access to hundreds of AI models from different providers through a single API endpoint.
BYOK (Bring Your Own Key)
BYOK stands for Bring Your Own Key.
LLM (Large Language Model)
A Large Language Model (LLM) is an AI system trained on massive text datasets that can understand and generate human language.
AI Agent
An AI agent is an AI system that can take actions in the real world, not just generate text.
API Key
An API key is a unique string of characters that authenticates your identity when making requests to a web API.
Context Window
A context window is the maximum amount of text (measured in tokens) that an AI model can process in a single request.
Token
A token is the basic unit of text that AI models process.
Fine-Tuning
Fine-tuning is the process of further training a pre-trained AI model on a specific dataset to specialize it for a particular task or domain.