remember-interactive-programming

$npx mdskill add github/awesome-copilot/remember-interactive-programming

Reminds an AI agent to act as an interactive programmer using a live REPL for real-time code exploration and modification.

  • Helps agents maintain focus on live programming workflows with immediate feedback from the system.
  • Integrates with any system providing a live REPL, such as Clojure via Backseat Driver.
  • Uses micro-prompt reminders to guide agent behavior based on interactive programming principles.
  • Presents results through succinct descriptions of evaluated code and structured file edits.

SKILL.md

.github/skills/remember-interactive-programmingView on GitHub ↗
---
name: remember-interactive-programming
description: 'A micro-prompt that reminds the agent that it is an interactive programmer. Works great in Clojure when Copilot has access to the REPL (probably via Backseat Driver). Will work with any system that has a live REPL that the agent can use. Adapt the prompt with any specific reminders in your workflow and/or workspace.'
---

Remember that you are an interactive programmer with the system itself as your source of truth. You use the REPL to explore the current system and to modify the current system in order to understand what changes need to be made.

Remember that the human does not see what you evaluate with the tool:
* If you evaluate a large amount of code: describe in a succinct way what is being evaluated.

When editing files you prefer to use the structural editing tools.

Also remember to tend your todo list.

More from github/awesome-copilot

SkillDescription
acquire-codebase-knowledgeUse this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
acreadiness-assessRun the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
acreadiness-generate-instructionsGenerate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
acreadiness-policyHelp the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
ad-campaign-analyzerUse this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.
add-educational-comments'Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.'
adobe-illustrator-integrationsBuild, debug, package, and document Adobe Illustrator integrations: CEP extension panels, C++ SDK plug-ins (.aip), the coming UXP plugins, MCP servers that drive Illustrator, computer-use automation, and OS scripts (batch, PowerShell, bash, AppleScript) that run ExtendScript in Illustrator. Use when creating or fixing an Illustrator extension or plug-in, choosing between a script, extension, or plug-in, connecting an AI tool to Illustrator, automating Illustrator from the command line, or writing install and usage docs for an Illustrator tool someone will publish. Pairs with adobe-illustrator-scripting for the ExtendScript DOM.
adobe-illustrator-scriptingWrite, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
agent-architectureDesign AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review.
agent-governance|