auto
Automatically converge from goal to A-grade Seed and execute it
Interactive tutorial teaching Ouroboros hands-on
$ npx -y skills add Q00/ouroboros --skill tutorial --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/tutorialContext preview
The summary Claude sees to decide when to auto-load this skill.
Interactive tutorial teaching Ouroboros hands-on
name: tutorial description: "Interactive tutorial teaching Ouroboros hands-on"
Interactive tutorial that teaches Ouroboros through hands-on experience.
ooo tutorial /ouroboros:tutorial
When this skill is invoked, guide the user through a learn-by-doing tutorial with progressive disclosure.
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Start with enthusiasm and immediate value:
Welcome to the Ouroboros Tutorial! In the next 5 minutes, you'll: - Transform a vague idea into a precise specification - See Ouroboros expose hidden assumptions you didn't know you had - Generate a validated Seed ready for AI execution Let's start with YOUR idea. What's something you've been wanting to build? [Wait for user response - any project idea works]
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Once they share an idea, immediately start a simplified interview:
Great choice! Let me show you how Ouroboros thinks about this. [Ask 3-4 targeted Socratic questions about their idea] - "What's the primary problem this solves?" - "Who are the main users?" - "What's the one feature that would make this useful immediately?" Notice something? Each question exposed an assumption you hadn't articulated. This is the "aha moment" - requirements clarity BEFORE writing code.
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Generate a mini-seed to show immediate value:
Based on your answers, here's what we've uncovered: [Display a simplified seed structure] Goal: [their goal refined] Constraints: [3 key constraints they mentioned] Success Criteria: [2-3 clear metrics] Ambiguity Score: 0.XX [show progress from vague to clear] This seed is now ready for AI execution. No more "build me X" and hoping for the best!
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Progressive disclosure of features:
Now that you've seen the core magic, here's what else Ouroboros can do: Immediate Wins (Available Now): - ooo unstuck - 5 lateral thinking personas when you're blocked - ooo seed - Generate full specifications from interviews - ooo evolve - Evolutionary loop until ontology converges Advanced Features (Setup Required): - ooo run - Execute with visual TUI dashboard - ooo evaluate - 3-stage quality verification - ooo status - Track project drift in real-time Want to try any of these now? Or shall I show you the full workflow?
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Show the complete pipeline:
The Complete Ouroboros Workflow:
Idea → Interview → Seed → Route → Execute → Evaluate
↓ ↓ ↓ ↓ ↓ ↓
Vague Clear Frozen Right Build Verified
Assumptions Spec Model Visibly Quality
5 commands from idea to validated result:
1. ooo interview "your idea" # Expose assumptions
2. ooo seed # Crystallize spec
3. ooo run # Execute with TUI
4. ooo evaluate # 3-stage verification
5. ooo status # Check drift
Ready to try your first real project?---
Your First Real Project awaits! Pick a path: Path A: Start Fresh ooo interview "your actual project idea" Path B: Learn More ooo help # Full command reference Path C: Setup Full Features ooo setup # Enable TUI, evaluation, drift tracking Which path interests you?
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1. **Immediate Value** - Show something useful in the first 30 seconds 2. **Learn by Doing** - Don't just explain, have them experience it 3. **Progressive Disclosure** - Reveal features gradually, not all at once 4. **Quick Wins** - Celebrate small milestones throughout 5. **Clear Next Steps** - Always give them a specific action to take
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Track progress through these checkpoints:
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No problem! Let's use a classic example: a task management CLI. [Continue tutorial with task management CLI example]
It's actually simpler than it sounds. Let me show you the 3 commands you'll use 90% of the time: 1. ooo interview "idea" # Clarify what you want 2. ooo seed # Generate the spec 3. ooo run # Build it Everything else is optional power-user features.
Great question! The difference is: Without Ouroboros: "Build me a task CLI" → Claude guesses → You realize it's wrong → Rewrite prompt → Repeat With Ouroboros: Interview → Hidden assumptions exposed → Precise spec → Claude builds exactly what you want → First try The interview saves you hours of iteration.
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A successful tutorial ends when:
Your final response MUST end with exactly one breadcrumb footer line:
◆ <current state> → next: <recommended action>
Derive `<current state>` from live session state via `ouroboros_sessio
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCode, Copilot, Kiro and more.
Repo: Q00/ouroboros
Automatically converge from goal to A-grade Seed and execute it
Scan and manage brownfield repository/worktree defaults for interviews
Open or drive the Ouroboros settings GUI (browser, TUI, or conversational fallback)
Evaluate execution with three-stage verification pipeline