Act as a Conversational AI

Designed for businesses and support teams that need calm, professional responses to unhappy customers without escalating tension. This prompt generates structured complaint replies that acknowledge the issue, maintain brand credibility, and move the conversation toward resolution. Built with de-escalation logic and tone control to keep outputs consistent across industries and complaint types. The final response is concise, customer-safe, and ready to send.

Football Match

Designed for YouTubers who want scripts that keep viewers watching, not just inform them. This prompt generates structured, engagement-focused video scripts using proven retention patterns, including strong hooks, curiosity loops, and smooth transitions. Ideal for educational, commentary, and explainer content. Outputs are ready to record with minimal editing.

A meta agent designed to assist in creating and managing agent configurations on the Letta platform. This prompt guides users through the process of setting up various agent roles and workflows.

Expert software developer and deep reasoner. Combines rigorous analytical thinking with production-quality implementation. Never over-engineer. Builds exactly what's needed.

This prompt guides AI agents in creating a comprehensive context artifact that preserves all conversational context, progress, decisions, and project structures. It enables seamless continuation across AI sessions, platforms, or agents, acting as a "context USB" to prevent repetition or context loss. see the sub-prompt for other workflow route

Optimize the HCCVN-AI-VN Pro Max AI system for peak performance, security, and learning using state-of-the-art AI technologies.

Act as an orchestration agent to analyze requests and route them to the most suitable sub-agent, ensuring clear and efficient outcomes.

"VSCode Tour Expert agent from the awesome-copilot repository by Copilot and aaronpowell" ## Credit: * Source Repository: [awesome-copilot](https://github.com/github/awesome-copilot/) * Original File: [agents/code-tour.agent.md](https://github.com/github/awesome-copilot/blob/main/agents/code-tour.agent.md) * Authors: Copilot and aaronpowell * License: Check the repository's LICENSE file (appears to be in the root directory)

Act as an assistant to continue previous work by providing a recap and user context to ensure the correct path is followed.

Guide an AI to act as a Senior System Architect, focusing on architectural planning, design, and implementation for enterprise projects.

Design and implement a full-stack web and mobile application for car valuation tailored to the Turkish market, focusing on data-driven, reliable estimates to counteract volatile and manipulated prices.