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In teams using coding assistants, sharing and reusing prompts that work is often tedious. A Packmind Command is an executable, step-by-step guide that tells the AI assistant exactly how to perform a development task so your team’s practices are applied consistently and reproducibly. Examples
  • “Add a new REST endpoint” — steps to define the route, implement the handler, add input validation, write tests, and update API docs.
  • “Set up a CI pipeline for a project” — steps to configure the workflow, run lint/tests/build on each push/PR, and report status checks.

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How to

You can create commands using the /packmind-update-playbook skill in your AI coding assistant.
  1. Open your IDE and your coding assistant in agentic mode.
  2. For this demo, we will create a language-agnostic command. (You can also target a specific language or framework.)
  3. Type this command:
Or use a natural language prompt:
Guided Creation — The /packmind-update-playbook skill provides step-by-step guidance through the entire creation process, ensuring your command is well-structured and reusable.

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How it works

The AI agent will automatically follow the command creation workflow which guides it through:
  1. Understanding the process - The agent identifies the development process you want to capture as a command
  2. Structuring the command - The agent breaks down the process into clear, actionable steps with:
    • When to use scenarios - Specific situations where the command applies
    • Context validation checkpoints - Questions to clarify before implementing
    • Step-by-step instructions - Atomic, repeatable actions with optional code examples
  3. Finalization - Once structured properly, the agent creates the command in Packmind
Your new command will be available in the Packmind web app, in the Commands panel.
The workflow ensures commands are well-structured and reusable by enforcing clear steps, validation checkpoints, and usage scenarios. This makes them effective for AI agents and team members alike.

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Tips

The quality of the generated command depends mostly on the level of detail you provide. When capturing a Command, you can, for example:
  • Use the current conversation Example
  • Mention example files or directories Example
  • Use a Git commit diff Example

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What Makes a Good Command

  • Clear purpose — The command name and summary clearly explain what it accomplishes
  • Realistic scenarios — The “When to use” section covers actual situations your team encounters
  • Validation checkpoints — Questions clarify prerequisites and assumptions
  • Actionable steps — Each step is specific and can be completed independently
  • Helpful examples — Code snippets demonstrate what to do, not just explain it