prompt-engineering-calculation

This skill enables version control and management for AI prompts, allowing developers to track changes, compare iterations, and maintain prompt history. It provides tools to create versioned prompt templates with parameters like style and length constraints. Use this when you need reproducible, auditable prompt workflows across different model versions or team collaborations.

This skill provides best practices for versioning AI prompts using semantic versioning and structured metadata. It helps developers track prompt changes, maintain changelogs, and organize different prompt versions systematically. Use this when implementing version control for production prompts in AI applications.

Agenta is a self-hosted platform for managing and evaluating LLM prompts. It enables developers to version prompts, run A/B tests, and track experiments with evaluation metrics. Use it to systematically test and deploy prompt changes with confidence.

This skill enables developers to use Agenta as a prompt management system within Langchain applications. It provides a loader class to fetch and cache prompts from Agenta as Langchain PromptTemplate objects. Use this when you want to centrally manage and version control prompts while building with the Langchain framework.