> ## Documentation Index
> Fetch the complete documentation index at: https://packmind-feat-rename-cli-packmind.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Set Up Your Project with Onboarding

## Overview

Packmind automatically generates coding standards and commands from your project. Instead of manually creating standards from scratch, your AI agent analyzes your existing code and practices to create a foundation you can refine.

## Skill-Based Onboarding

The `/packmind-onboard` skill provides automated batch analysis of your codebase, generating both standards and commands.

### Prerequisites

* Packmind CLI installed
* Logged in with `packmind login`
* Packmind skills installed with `packmind init`
* A Git repository in your project

### Quick Start

In your AI agent (Claude Code, Cursor, etc.), invoke the onboarding skill:

```
/packmind-onboard
```

The skill guides you through an interactive process:

1. **Create or select a package** — Where your standards and commands will be stored
2. **Analyze your codebase** — Read-only scan for patterns and conventions
3. **Review generated drafts** — Preview before creating anything
4. **Create standards and commands** — Publish to Packmind and deploy locally

### What Gets Generated

Based on your project's patterns, you'll get up to:

**Standards** (max 5 per run)

* Role taxonomy drift patterns
* Test data construction patterns

**Commands** (max 5 per run)

* File template workflows
* CI/local development parity scripts

All items are created as **drafts first**, giving you a chance to review and edit before publishing.

### The Onboarding Flow

#### Step 1: Package Selection

The skill checks for existing packages:

* **No packages exist**: Automatically creates `{repo-name}-standards`
* **One package exists**: Asks if you want to use it or create a new one
* **Multiple packages**: Lists all options for you to choose

#### Step 2: Codebase Analysis

The skill performs a read-only scan of your project, detecting your tech stack, frameworks, and coding patterns.

#### Step 3: Draft Review

After analysis, you see a summary of what will be created (e.g., "3 standards, 2 commands"). You can then choose:

* **Create all now** — Publish everything to Packmind
* **Let me review drafts first** — Edit the drafts before publishing
* **Cancel** — Exit without creating anything

#### Step 4: Publishing

When you confirm, the skill publishes everything to Packmind and deploys to your local AI agent automatically.

### After Skill-Based Onboarding

Once complete, your standards and commands are:

* **Published to Packmind** — Available in your organization
* **Added to your package** — Ready for team distribution
* **Deployed locally** — Active in your AI agent (Claude Code, Cursor, GitHub Copilot, etc.)

### Re-running Skill-Based Onboarding

Run the skill again anytime to generate additional standards and commands. The skill never overwrites existing items.

***

## Troubleshooting

**Q: Skill says I'm not logged in**

Run `packmind login` first, then retry the skill.

**Q: Package creation fails**

Check your network connection and that you have permissions to create packages in your organization.

**Q: No patterns discovered**

Very new or small codebases may not have enough patterns to detect. Try running the skill again after adding more code to your project.

**Q: Generated standards don't match my project**

Onboarding generates a starting point. Edit draft files before confirming to customize them to your needs.

## Related Documentation

* [Create and customize standards](/getting-started/gs-create-standard)
* [Create and customize commands](/getting-started/gs-create-command)
* [Distribute standards and commands](/getting-started/gs-distribute)
* [CLI Reference](/tools/cli)