Nav Onboard logo

Nav Onboard

Organization
qf-studio
nav-onboard

Interactive onboarding for Navigator - learn by doing. Auto-invoke when user says "onboard me", "teach me Navigator", "how do I use Navigator", "Navigator tutorial", "learn Navigator", "new to Navigator", or "what skills should I use".

Overview

Publisherqf-studio
Repositorynavigator
Skill namenav-onboard
Stars
232
Forks
12
Bundled files
14
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by qf-studio on GitHub. Read the source before you install it.

Installation

Install the Nav Onboard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/qf-studio/navigator.git /tmp/navigator
mkdir -p .claude/skills
cp -r /tmp/navigator/skills/nav-onboard .claude/skills/nav-onboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nav Onboard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nav Onboard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nav Onboard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Navigator Onboarding Skill

Interactive, hands-on learning experience for Navigator. Users complete actual tasks to learn workflows, not just read documentation.

When to Invoke

Invoke this skill when the user:

  • Says "onboard me", "teach me Navigator"
  • Says "how do I use Navigator", "Navigator tutorial"
  • Says "learn Navigator", "new to Navigator"
  • Asks "what skills should I use"
  • Says "help me get started with Navigator"
  • First time using Navigator after init

DO NOT invoke if:

  • User is asking about a specific skill (invoke that skill instead)
  • User already completed onboarding (.agent/onboarding/.completed exists)
  • User explicitly asks to skip onboarding

Two Learning Flows

Quick Start (~15 min)

For users who want to be productive fast:

  • 4 essential skills with hands-on practice
  • Generates personalized workflow guide
  • Minimal philosophy, maximum doing

Full Education (~45 min)

For users who want comprehensive understanding:

  • Philosophy primer (context efficiency principles)
  • All 5 essential skills with practice
  • Project-specific development skills
  • Complete workflow mastery

Execution Steps

Step 1: Check Previous Onboarding

bash
if [ -f ".agent/onboarding/.completed" ]; then
  echo "COMPLETED"
else
  echo "NOT_COMPLETED"
fi

If completed: Ask if user wants to re-do onboarding or just view their workflow guide.

Step 2: Analyze Project

Run project analyzer to detect tech stack:

bash
PLUGIN_DIR="${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/plugins/cache/navigator-marketplace/navigator}"
[ -d "$PLUGIN_DIR" ] || PLUGIN_DIR="$HOME/.claude/plugins/marketplaces/navigator-marketplace"
python3 "$PLUGIN_DIR/skills/nav-onboard/functions/project_analyzer.py"

Output structure:

json
{
  "project_name": "my-app",
  "project_type": "fullstack",
  "frontend_framework": "Next.js",
  "backend_framework": "Express",
  "database": "PostgreSQL",
  "testing_framework": "Jest",
  "has_navigator": true
}

Step 3: Generate Skill Recommendations

Run skill recommender based on project analysis:

bash
PLUGIN_DIR="${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/plugins/cache/navigator-marketplace/navigator}"
[ -d "$PLUGIN_DIR" ] || PLUGIN_DIR="$HOME/.claude/plugins/marketplaces/navigator-marketplace"
python3 "$PLUGIN_DIR/skills/nav-onboard/functions/skill_recommender.py"

Output structure:

json
{
  "essential_skills": ["nav-start", "nav-marker", "nav-task", "nav-sop", "nav-compact"],
  "recommended_skills": ["frontend-component", "backend-endpoint"],
  "optional_skills": ["visual-regression", "product-design"],
  "workflow_order": ["nav-start", "nav-task", "frontend-component", "nav-sop", "nav-marker", "nav-compact"]
}

Step 4: Present Flow Choice

Show detection results and ask user to choose flow:

Navigator Onboarding

I've analyzed your project:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Project: [project_name]
Type: [project_type]
Stack: [tech_stack]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Based on your project, I recommend these skills:

Essential (all projects):
  1. nav-start     - Start sessions efficiently
  2. nav-marker    - Save progress checkpoints
  3. nav-task      - Document what you build
  4. nav-sop       - Capture solutions for reuse
  5. nav-compact   - Clear context without losing work

For your [project_type] project:
  6. [recommended_skill_1] - [description]
  7. [recommended_skill_2] - [description]

Choose your learning path:

[Q] Quick Start (~15 min)
    Learn 4 essential skills with hands-on practice
    Get productive immediately

[F] Full Education (~45 min)
    Complete Navigator mastery
    Philosophy + all relevant skills + practice

Your choice [Q/F]:

Step 5: Initialize Progress Tracking

Create onboarding directory and progress file:

bash
mkdir -p .agent/onboarding
bash
PLUGIN_DIR="${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/plugins/cache/navigator-marketplace/navigator}"
[ -d "$PLUGIN_DIR" ] || PLUGIN_DIR="$HOME/.claude/plugins/marketplaces/navigator-marketplace"
# Run progress_tracker.py init
python3 "$PLUGIN_DIR/skills/nav-onboard/functions/progress_tracker.py" init [flow_type] [project_type]

Creates .agent/onboarding/PROGRESS.md:

markdown
# Navigator Onboarding Progress

**Started**: [date]
**Flow**: Quick Start | Full Education
**Project**: [name] ([type])

---

## Essential Skills

| # | Skill | Status | Completed | Notes |
|---|-------|--------|-----------|-------|
| 1 | nav-start | pending | - | - |
| 2 | nav-marker | pending | - | - |
| 3 | nav-task | pending | - | - |
| 4 | nav-sop | pending | - | - |
| 5 | nav-compact | pending | - | - |

## Development Skills

| # | Skill | Status | Completed | Notes |
|---|-------|--------|-----------|-------|
| 6 | [skill] | pending | - | - |

---

**Progress**: 0/[total] (0%)
**Next Task**: nav-start

*Last Updated: [timestamp]*

Step 6: Execute Learning Tasks

For each skill in the curriculum, follow this pattern:

6.1: Present Task

Read the learning task file and present to user:

bash
cat skills/nav-onboard/learning-tasks/[task-file].md

Present in this format:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TASK [N]/[TOTAL]: [Skill Name]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

[Task description and context]

DO THIS NOW:
━━━━━━━━━━━
Type: "[exact command to type]"

WHAT SHOULD HAPPEN:
━━━━━━━━━━━━━━━━━━━
[Expected output description]

Ready? Type the command above, then say "done" when complete.
6.2: Wait for User Action

User types the command (e.g., "Start my Navigator session").

The relevant skill executes automatically.

User says "done" or similar when ready to continue.

6.3: Validate Completion

Run task validator:

bash
PLUGIN_DIR="${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/plugins/cache/navigator-marketplace/navigator}"
[ -d "$PLUGIN_DIR" ] || PLUGIN_DIR="$HOME/.claude/plugins/marketplaces/navigator-marketplace"
python3 "$PLUGIN_DIR/skills/nav-onboard/functions/task_validator.py" [skill_name]

Validation checks per skill:

  • nav-start: User confirmation (session displayed)
  • nav-marker: File exists in .agent/.context-markers/
  • nav-task: File exists in .agent/tasks/
  • nav-sop: File exists in .agent/sops/
  • nav-compact: .active file exists in .context-markers/
6.4: Update Progress
bash
PLUGIN_DIR="${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/plugins/cache/navigator-marketplace/navigator}"
[ -d "$PLUGIN_DIR" ] || PLUGIN_DIR="$HOME/.claude/plugins/marketplaces/navigator-marketplace"
python3 "$PLUGIN_DIR/skills/nav-onboard/functions/progress_tracker.py" update [skill_name] completed "[notes]"
6.5: Show Progress and Continue
✅ Task Complete: [skill_name]

Progress: [N]/[TOTAL] ([percentage]%)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[progress bar visualization]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

PRO TIP:
[Skill-specific best practice]

Next up: [next_skill_name]

Continue? [Y/n]

Step 7: Generate Personalized Workflow

After all tasks complete, generate workflow guide:

bash
PLUGIN_DIR="${CLAUDE_PLUGIN_ROOT:-$HOME/.claude/plugins/cache/navigator-marketplace/navigator}"
[ -d "$PLUGIN_DIR" ] || PLUGIN_DIR="$HOME/.claude/plugins/marketplaces/navigator-marketplace"
python3 "$PLUGIN_DIR/skills/nav-onboard/functions/workflow_generator.py"

Creates .agent/onboarding/MY-WORKFLOW.md with:

  • Project-specific workflow diagram
  • Daily workflow checklist
  • Quick reference table with all skill triggers
  • Best practices for user's stack

Step 8: Completion Summary

Mark onboarding complete and show summary:

bash
touch .agent/onboarding/.completed
echo "[date]" > .agent/onboarding/.completed
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎉 NAVIGATOR ONBOARDING COMPLETE!
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

You've learned:
✅ nav-start     - Start sessions efficiently
✅ nav-marker    - Save progress checkpoints
✅ nav-task      - Document implementations
✅ nav-sop       - Capture solutions
✅ nav-compact   - Manage context
✅ [dev skills]  - Build [project_type] features

Your personalized workflow:
📄 .agent/onboarding/MY-WORKFLOW.md

Quick Reference:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
| Action              | Say This                         |
|---------------------|----------------------------------|
| Start session       | "Start my Navigator session"     |
| Save progress       | "Create checkpoint [name]"       |
| Document feature    | "Create task doc for [feature]"  |
| Capture solution    | "Create SOP for [issue]"         |
| Clear context       | "Clear context and preserve"     |
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

What's Next?
1. Start your first real session: "Start my Navigator session"
2. Keep MY-WORKFLOW.md open as reference
3. Create markers before breaks
4. Document what you build

Happy coding! 🚀

Learning Tasks Reference

Essential Skills (All Projects)

OrderSkillTask FileWhat User DoesValidation
1nav-start01-nav-start.md"Start my Navigator session"Session summary displayed
2nav-marker02-nav-marker.md"Create checkpoint learning-test"File in .context-markers/
3nav-task03-nav-task.md"Create task doc for learning-feature"File in .agent/tasks/
4nav-sop04-nav-sop.md"Create SOP for learning-debugging"File in .agent/sops/
5nav-compact05-nav-compact.md"Clear context and preserve markers".active file created

Development Skills (Project-Specific)

Project TypeSkillTask File
Frontendfrontend-component06-frontend-component.md
Frontendfrontend-test07-frontend-test.md
Backendbackend-endpoint06-backend-endpoint.md
Backendbackend-test07-backend-test.md
FullstackBoth frontend + backend skillsSequential

Quick Start Curriculum

Tasks 1-4 only:

  1. nav-start (3 min)
  2. nav-marker (3 min)
  3. nav-task (4 min)
  4. One dev skill matching project (5 min)

Total: ~15 minutes

Full Education Curriculum

Part 1: Philosophy (5 min)

  • Read .agent/philosophy/CONTEXT-EFFICIENCY.md
  • Understand why Navigator exists
  • Key principle: load what you need, when you need it

Part 2: Session Management (10 min)

  • Task 1: nav-start
  • Task 2: nav-marker
  • Task 5: nav-compact

Part 3: Documentation (10 min)

  • Task 3: nav-task
  • Task 4: nav-sop

Part 4: Development Skills (15-20 min)

  • Project-specific skills
  • Hands-on practice with real components/endpoints

Part 5: Summary (5 min)

  • Generate MY-WORKFLOW.md
  • Review quick reference
  • Next steps

Total: ~45 minutes

Predefined Functions

project_analyzer.py

Extends nav-init/functions/project_detector.py with:

  • Project type classification (frontend/backend/fullstack)
  • Database detection
  • Testing framework detection
  • Navigator status check

skill_recommender.py

Maps project analysis to skill recommendations:

  • Essential skills (always included)
  • Recommended skills (based on project type)
  • Optional skills (advanced features)
  • Workflow order (suggested sequence)

progress_tracker.py

Manages .agent/onboarding/PROGRESS.md:

  • Initialize progress file
  • Update task status
  • Calculate completion percentage
  • Determine next task

task_validator.py

Validates task completion:

  • File existence checks
  • Content validation
  • User confirmation prompts

workflow_generator.py

Generates .agent/onboarding/MY-WORKFLOW.md:

  • Project-specific workflow
  • Daily checklist
  • Quick reference table
  • Best practices

Error Handling

Navigator Not Initialized

⚠️  Navigator not initialized in this project.

Run nav-init first, then come back to onboarding.

Would you like to initialize Navigator now? [Y/n]

Task Validation Failed

⚠️  Couldn't verify task completion.

Expected: [what should exist]
Found: [what was found]

Options:
1. Retry the task
2. Skip this task
3. Mark as complete anyway

Your choice [1-3]:

User Wants to Skip

Skipping [skill_name].

Note: You can always learn this skill later by saying:
"Teach me [skill_name]"

Continuing to next task...

Success Criteria

Onboarding is successful when:

  • User completed at least 3 essential skill tasks
  • .agent/onboarding/PROGRESS.md shows progress
  • .agent/onboarding/MY-WORKFLOW.md generated
  • .agent/onboarding/.completed marker created
  • User knows how to start sessions and save progress

Notes

  • Real files created during onboarding (not sandboxed)
  • Files created can be deleted later if unwanted
  • Progress persists across sessions
  • Can re-run onboarding anytime (asks to overwrite)
  • Learning tasks designed for 3-5 minutes each

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nav Onboard AI skill do?

Interactive onboarding for Navigator - learn by doing. Auto-invoke when user says "onboard me", "teach me Navigator", "how do I use Navigator", "Navigator tutorial", "learn Navigator", "new to Navigator", or "what skills should I use".

Why use Nav Onboard on TypingMind?

Because you install it once and use it with any model. Nav Onboard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nav Onboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/qf-studio/navigator/tree/main/skills/nav-onboard. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nav Onboard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nav Onboard?

As many as you like. As long as a model supports skills, you can use Nav Onboard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nav Onboard AI skill free?

Yes. It is published on GitHub by qf-studio under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇