Below you will find pages that utilize the taxonomy term “reprompt-dev”
April 1, 2026
reprompt lint
Version updated for https://github.com/reprompt-dev/reprompt to version v2.2.1.
This action is used across all versions by ? repositories. Action Type This is a Composite action.
Go to the GitHub Marketplace to find the latest changes.
Action Summary The re:prompt GitHub Action provides tools to analyze, score, and optimize AI prompts to improve their clarity, structure, and effectiveness without relying on large language models. It automates tasks such as diagnosing prompt quality, rewriting prompts for improved performance, compressing prompts to save tokens, and detecting inefficiencies in workflows or repeated prompts across sessions.
March 28, 2026
reprompt lint
Version updated for https://github.com/reprompt-dev/reprompt to version v1.6.0.
This action is used across all versions by ? repositories. Action Type This is a Composite action.
Go to the GitHub Marketplace to find the latest changes.
Action Summary The re:prompt GitHub Action is a tool designed to analyze and enhance prompts used with AI tools by providing scoring, optimization, and management capabilities. It helps users improve the effectiveness of their prompts by identifying issues such as inefficiencies, error loops, and sensitive data exposure, while offering features like prompt compression, conversation distillation, and detailed analytics.
March 26, 2026
reprompt lint
Version updated for https://github.com/reprompt-dev/reprompt to version v1.5.0.
This action is used across all versions by ? repositories. Action Type This is a Composite action.
Go to the GitHub Marketplace to find the latest changes.
Action Summary The re:prompt GitHub Action is designed to help users analyze, optimize, and manage AI-generated prompts and conversations effectively. It automates tasks such as scoring prompts based on research-backed dimensions, compressing prompts to save tokens, distilling key moments from conversations, and providing insights into personal usage patterns compared to best practices.