remember-interactive-programming

Remind AI agents to use live REPLs for system exploration and modification.

1|Updated Dec 22, 2025
One-click install
npx skills add https://github.com/dhar174/langgraph_system_generator --skill remember-interactive-programming
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: remember-interactive-programming
Source: https://github.com/dhar174/langgraph_system_generator/tree/main/.github/skills/remember-interactive-programming
Command: npx skills add https://github.com/dhar174/langgraph_system_generator --skill remember-interactive-programming

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures the AI agent remembers its role as an interactive programmer, leveraging a live REPL for system exploration and modification, which is particularly effective in environments like Clojure with tools such as Backseat Driver.

Core Features & Use Cases

  • REPL Integration: Utilizes a live REPL for real-time system interaction and debugging.
  • Structural Editing: Prefers structural editing tools for file modifications.
  • Todo List Management: Reminds the agent to maintain its task list.
  • Use Case: When developing or debugging a Clojure application, this Skill helps the AI agent actively use the REPL to understand the current state, test changes, and refine the codebase iteratively.

Quick Start

Remind the agent that it is an interactive programmer with access to the REPL.

Frequently Asked Questions about remember-interactive-programming

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use a REPL for interactive debugging and code exploration with an AI agent?

Interactive programming with a live REPL allows the AI agent to evaluate code in real-time, test changes immediately, and refine the codebase iteratively by leveraging the REPL for direct system exploration and modification.

Can I use this for Clojure development and structural editing?

Yes, this Skill supports Clojure development by reminding the agent to actively use the live REPL for understanding system state and preferring structural editing tools for modifying files during interactive programming workflows.

What is the best way to maintain an agentic workflow during code exploration?

Maintaining an agentic workflow during code exploration requires managing the agent's todo list; this Skill handles that by reminding the interactive programmer to track tasks while evaluating code and modifying the system through the REPL.

How do I start an interactive programming session with an AI agent?

You start by prompting the AI agent that it is an interactive programmer with REPL access, which activates the Skill's core logic to manage its todo list and begin leveraging the live REPL for structural code modifications.

Does interactive programming with a REPL require specific dependencies or environments?

This Skill requires no specific dependencies but relies on a live REPL environment to function, being particularly effective in Clojure setups using structural editing tools like Backseat Driver for managing system exploration.