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remember-interactive-programming

Reminds the agent to use a live REPL for interactive programming workflows.

1|1|Updated Jan 29, 2026
Search Tags:#repl#live coding#clojure#agent instructions#prompt#interactive programming
One-click install
npx skills add https://github.com/ultraviollettnympho/transit-ticket --skill remember-interactive-programming-ultraviollettnympho
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: remember-interactive-programming
Source: https://github.com/ultraviollettnympho/transit-ticket/tree/main/.github/skills/remember-interactive-programming
Command: npx skills add https://github.com/ultraviollettnympho/transit-ticket --skill remember-interactive-programming-ultraviollettnympho

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI coding agents often edit code blindly without verifying behavior against the running system, leading to speculative changes and errors. This Skill grounds the agent in interactive programming by reminding it to treat the live system as the source of truth. ## Core Features & Use Cases - REPL-Driven Exploration: Instructs the agent to explore and modify the running system through a live REPL before making changes. - Communication Guardrails: Reminds the agent to summarize large evaluations since the human cannot see tool output. - Workflow Reminders: Encourages structural editing tools and consistent todo list maintenance during sessions. - Use Case: A Clojure developer using Copilot with a REPL connection (e.g., via Backseat Driver) activates this Skill so the agent evaluates code in the live environment instead of guessing at behavior. ## Quick Start Ask the agent to fix a bug in your Clojure project and it will explore the running system through the REPL before proposing changes.

Frequently Asked Questions about remember-interactive-programming

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

FAQPage Schema
How do I make an AI coding agent use a REPL for development?▼

Provide the agent with a prompt instructing it to treat the running system as the source of truth and evaluate code through the REPL. This Skill supplies that reminder, working with any live REPL the agent can access.

What is interactive programming with AI agents?▼

Interactive programming means the agent explores and modifies the live running system rather than editing code blindly. The agent evaluates expressions in a REPL to understand actual behavior before deciding what changes to make.

Does this prompt work with languages other than Clojure?▼

Yes, it works with any system that has a live REPL the agent can use. It was designed for Clojure with Copilot and Backseat Driver, but the instructions apply to any REPL-driven environment.

Why does the agent need to summarize REPL evaluations?▼

The human user cannot see what the agent evaluates through its tools. When the agent evaluates a large amount of code, it must describe the evaluation succinctly so the user can follow its reasoning.

Can I customize the reminders in this prompt?▼

Yes, the prompt is designed to be adapted with specific reminders matching your workflow and workspace. You can add project-specific guidance alongside the default REPL, structural editing, and todo list reminders.

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