Growth Engineering Skill Architect
Design a reusable, interlocking skill ecosystem for AI agents that handles end-to-end technical marketing through modular skills sharing a canonical product context.
Tag Collection
6 published prompts tagged “AI Agents”. Browse by scenario and copy in one click.
6 prompts
Design a reusable, interlocking skill ecosystem for AI agents that handles end-to-end technical marketing through modular skills sharing a canonical product context.
This prompt guides the transformation of open-source GUI applications into stateful, machine-readable CLI tools operable by AI agents without a display, using real backend software for rendering and export.
Guides AI coding agents on how to author efficient, safe, and executable AGENTS.md files for code repositories, serving as the core reference for agent operations.
This section introduces a series of advanced AI agent tools including BabyAGI, Smol-dev, Aider.chat, Julius.ai, and Open Interpreter. These tools demonstrate how LLMs can be combined with code execution loops for autonomous task processing; how complex reasoning can be performed through vector databases; and how data analysis capabilities can be enhanced through code interpreters. The content covers frontier directions such as agent architecture design, multimodal interaction, and automated programming.
This section covers several projects related to AI agents and code interpreters, including BabyAgi, Smol-dev, Aider.chat, Julius.ai, and Open Interpreter. These tools demonstrate how large language models can be combined with looping task lists for automated programming and data analysis, introducing new forms like Hivemind and Claude Artifacts.
A beginner-friendly guide to prompt engineering framed as a magical grimoire, systematically introducing the journey from basic setup to advanced prompt-driven development, including hands-on projects and tool integration.
They are reusable LLM prompt templates labeled with “AI Agents” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.