Agent skill

setup

Guided onboarding wizard for Ouroboros setup

View SKILL.md on GitHub Repository

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Forks 217

Install this agent skill to your Project

npx add-skill https://github.com/Q00/ouroboros/tree/main/skills/setup

SKILL.md

/ouroboros:setup

Guided onboarding wizard that converts users into power users.

Standalone users (Codex, pip install): Use ouroboros setup --runtime codex in your terminal instead. This skill runs inside a Claude Code session. For other runtime backends, the CLI ouroboros setup command handles configuration. For full install and onboarding instructions, see Getting Started.

Usage

ooo setup
/ouroboros:setup
/ouroboros:setup --uninstall

Note: Setup does two things:

MCP server registration (~/.claude/mcp.json) — one-time, global across all projects

CLAUDE.md integration (optional) — per-project, adds an Ouroboros command reference block

After the first run, you only need to re-run setup in new projects if you want the CLAUDE.md integration.

Setup Wizard Flow

When the user invokes this skill, guide them through an enhanced 6-step wizard with progressive disclosure and celebration checkpoints.

Step 0: Welcome & Motivation (The Hook)

Start with energy and clear value:

Welcome to Ouroboros Setup!

Let's unlock your full AI development potential.

What you'll get:
- Visual TUI dashboard for real-time progress tracking
- 3-stage evaluation pipeline for quality assurance
- Drift detection to keep projects on track
- Cost optimization (85% savings on average)

Setup takes ~2 minutes. Let's go!

Step 0.5: Community Support

Before we begin, check ~/.ouroboros/prefs.json for star_asked. If not true, use AskUserQuestion:

json

{
  "questions": [{
    "question": "Ouroboros is free and open-source. A GitHub star helps other developers discover it. Star the repo?",
    "header": "Community",
    "options": [
      {
        "label": "Star on GitHub",
        "description": "Takes 1 second — helps the project grow"
      },
      {
        "label": "Skip for now",
        "description": "Continue with setup"
      }
    ],
    "multiSelect": false
  }]
}

Star on GitHub: Run gh api -X PUT /user/starred/Q00/ouroboros, save {"star_asked": true} to ~/.ouroboros/prefs.json
Skip for now: Save {"star_asked": true} to ~/.ouroboros/prefs.json
Other: Save {"star_asked": true}

Create ~/.ouroboros/ directory if it doesn't exist.

If star_asked is already true, skip this step silently.

Step 1: Environment Detection

Check the user's environment with clear feedback:

bash

python3 --version
which uvx 2>/dev/null && uvx --version 2>/dev/null
which claude 2>/dev/null

IMPORTANT: If system Python is < 3.12 but uvx is available, also check uv-managed Python:

bash

uv python list 2>/dev/null | grep "cpython-3.1[2-9]"

If uv python list shows Python >= 3.12 available, this counts as Full Mode because uvx ouroboros-ai mcp serve automatically uses uv-managed Python >= 3.12 (not system Python).

Report results with personality:

Environment Detected:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

System Python 3.11         [!] Below 3.12
uv Python 3.12+            [✓] Available (uvx will use this)
uvx package runner         [✓] Available
Runtime backend            [✓] Detected

→ Full Mode Available (via uvx + uv-managed Python >= 3.12)

Decision Matrix:

Environment	Mode	Action
uvx + Python >= 3.12	Ready	Proceed to MCP registration (uvx mode — extras always included)
No uvx + `ouroboros` binary in PATH	Check deps	Verify `[claude]` extras, then proceed (binary mode)
No uvx + Python >= 3.12 + `python3 -m ouroboros` works	Check deps	Verify `[claude]` extras, then proceed (pip mode)
uvx + Python < 3.12 only	Install needed	Run `uv python install 3.12` then proceed
No uvx + no ouroboros binary + no pip package	Install needed	Install uv first, then proceed

For binary/pip modes — verify [claude] extras are installed:

Check method depends on how ouroboros was installed:

bash

# Detect install method
pipx list 2>/dev/null | grep -q ouroboros && echo "PIPX" || echo "NOT_PIPX"

pipx users (binary mode, installed via pipx):
bash
```
pipx runpip ouroboros-ai show claude-agent-sdk 2>/dev/null && echo "DEPS_OK" || echo "DEPS_MISSING"
```
If DEPS_MISSING: pipx install --force ouroboros-ai[claude]

pip users (pip mode):

bash

python3 -c "import claude_agent_sdk" 2>/dev/null && echo "DEPS_OK" || echo "DEPS_MISSING"

If DEPS_MISSING: python3 -m pip install ouroboros-ai[claude]

If deps are missing and the user doesn't want to fix manually, recommend uvx:

Or install uvx (recommended — handles deps automatically):
  curl -LsSf https://astral.sh/uv/install.sh | sh
Then re-run: ooo setup

IMPORTANT: The MCP server requires one of: (1) uvx, (2) ouroboros binary in PATH, or (3) ouroboros pip-installed. For options 2 and 3, the [claude] extra must also be installed. If none are available, guide the user to install uv — do NOT write a non-working fallback to mcp.json.

If prerequisites are missing, show:

Ouroboros requires uvx (recommended) or the ouroboros package installed.

Quick install (< 1 minute):
  curl -LsSf https://astral.sh/uv/install.sh | sh
  uv python install 3.12

Then re-run: ooo setup

Celebration Checkpoint 1:

Great news! You're ready for the full Ouroboros experience.

Step 2: MCP Server Registration

Check if ~/.claude/mcp.json exists:

bash

ls -la ~/.claude/mcp.json 2>/dev/null && echo "EXISTS" || echo "NOT_FOUND"

Show progress:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  Registering MCP Server...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Connecting Ouroboros Python core to your runtime backend.
This enables:

  Visual TUI Dashboard    [Watch execution in real-time]
  3-Stage Evaluation     [Mechanical → Semantic → Consensus]
  Drift Detection        [Alert when projects go off-track]
  Session Replay         [Debug any execution from events]

Automatically create or update ~/.claude/mcp.json (user-level, works across all projects).

Choose the MCP command based on how ouroboros is installed (check in order):

If which uvx succeeds: {"command": "uvx", "args": ["--from", "ouroboros-ai[claude]", "ouroboros", "mcp", "serve"]}
If which ouroboros succeeds: {"command": "ouroboros", "args": ["mcp", "serve"]}
If python3 -c "import ouroboros" succeeds: {"command": "python3", "args": ["-m", "ouroboros", "mcp", "serve"]}
If none of the above → do NOT write to mcp.json. Instead show the prerequisites message from Step 1 and stop.

If ~/.claude/mcp.json already exists, read it, always overwrite the ouroboros key with the entry above (to fix stale args from older versions), and preserve all other server entries.

Celebration Checkpoint 2:

MCP Server Registered! You can now:
- Run ooo run for visual TUI execution
- Run ooo evaluate for 3-stage verification
- Run ooo status for drift tracking

Step 3: CLAUDE.md Integration (Optional)

Ask with clear value proposition:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  CLAUDE.md Integration
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Add Ouroboros quick-reference to your CLAUDE.md?

This gives you instant command reminders without leaving
your project context.

What gets added (~40 lines):
- Philosophy and pipeline overview
- Command routing table with lazy-loaded agents
- Agent catalog summary

A backup will be created: CLAUDE.md.bak

[Integrate / Skip / Preview first]

If "Preview first", show:

markdown

<!-- ooo:START -->
<!-- ooo:VERSION:0.28.4 -->
# Ouroboros — Specification-First AI Development

> Before telling AI what to build, define what should be built.
> As Socrates asked 2,500 years ago — "What do you truly know?"
> Ouroboros turns that question into an evolutionary AI workflow engine.

Most AI coding fails at the input, not the output. Ouroboros fixes this by
**exposing hidden assumptions before any code is written**.

1. **Socratic Clarity** — Question until ambiguity ≤ 0.2
2. **Ontological Precision** — Solve the root problem, not symptoms
3. **Evolutionary Loops** — Each evaluation cycle feeds back into better specs

```
Interview → Seed → Execute → Evaluate
    ↑                           ↓
    └─── Evolutionary Loop ─────┘
```

## ooo Commands

Each command loads its agent/MCP on-demand. Details in each skill file.

| Command | Loads |
|---------|-------|
| `ooo` | — |
| `ooo interview` | `ouroboros:socratic-interviewer` |
| `ooo seed` | `ouroboros:seed-architect` |
| `ooo run` | MCP required |
| `ooo evolve` | MCP: `evolve_step` |
| `ooo evaluate` | `ouroboros:evaluator` |
| `ooo unstuck` | `ouroboros:{persona}` |
| `ooo status` | MCP: `session_status` |
| `ooo setup` | — |
| `ooo help` | — |

## Agents

Loaded on-demand — not preloaded.

**Core**: socratic-interviewer, ontologist, seed-architect, evaluator,
wonder, reflect, advocate, contrarian, judge
**Support**: hacker, simplifier, researcher, architect
<!-- ooo:END -->

If Integrate:

Backup existing CLAUDE.md to CLAUDE.md.bak
Append the block above
Confirm successful integration

Celebration Checkpoint 3:

CLAUDE.md updated! You now have instant Ouroboros reference
available in every project.

Step 4: Quick Verification

Run verification with visual feedback:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  Verifying Setup...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Check skills are loadable:

bash

ls skills/ | wc -l  # Should show 12+ skills

Check agents are available:

bash

ls src/ouroboros/agents/*.md | wc -l  # Should show 20+ bundled agents

Check MCP registration (if enabled):

bash

cat ~/.claude/mcp.json | grep -q ouroboros && echo "MCP: ✓" || echo "MCP: ✗"

Step 5: Success Summary

Display with celebration:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  Ouroboros Setup Complete!
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Mode:                     Full Mode (Python >= 3.12 + MCP)
Skills Registered:        15 workflow skills
Agents Available:         9 specialized agents
MCP Server:               ✓ Registered
CLAUDE.md:                ✓ Integrated

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  You're Ready to Go!
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Start your first project:
  ooo interview "your project idea"

Learn what's possible:
  ooo help

Try the interactive tutorial:
  ooo tutorial

Join the community:
  Star us on GitHub! github.com/Q00/ouroboros

Step 5.5: Brownfield Repository Scan

Scan the user's home directory for existing git repositories and register them in the Ouroboros DB. This enables interviews to use brownfield context for existing projects.

Show scanning indicator:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  Scanning for Existing Projects...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Looking for git repositories in your home directory.
Only GitHub-hosted repos will be registered.
This may take a moment...

Implementation — use MCP tools only, do NOT use CLI or Python scripts:

Load the brownfield MCP tool: ToolSearch query: "+ouroboros brownfield"
Call scan+register:
```
Tool: ouroboros_brownfield
Arguments: { "action": "scan" }
```
This scans ~/ for GitHub repos and registers them in DB. Existing defaults are preserved.

The scan response text already contains a pre-formatted numbered list with [default] markers. Do NOT make any additional MCP calls to list or query repos.

Display the repos in a plain-text 2-column grid (NOT a markdown table). Use a code block so columns align. Example:

Scan complete. 8 repositories registered.

 1. repo-alpha                   5. repo-epsilon
 2. repo-bravo *                 6. repo-foxtrot
 3. repo-charlie                 7. repo-golf *
 4. repo-delta                   8. repo-hotel

Include * markers for defaults exactly as they appear in the scan response. Do not summarize or truncate the list. The user needs to see all repo numbers to pick defaults.

If no repos found, skip the default selection prompt and proceed to Step 6.

Default repo selection — IMMEDIATELY after showing the list:

Use AskUserQuestion with the current default numbers from the scan response.

If defaults exist, show them as the recommended option:

json

{
  "questions": [{
    "question": "Which repos to set as default for interviews? Enter numbers like '6, 18, 19'.",
    "header": "Default Repos",
    "options": [
      {"label": "<current default numbers> (Recommended)", "description": "<current default names>"},
      {"label": "None", "description": "Clear all defaults — interviews will run in greenfield mode"},
      {"label": "Select repos", "description": "Type repo numbers to set as default"}
    ],
    "multiSelect": false
  }]
}

If no defaults exist, do NOT show a "(Recommended)" option — offer "None" and "Select repos" instead:

json

{
  "questions": [{
    "question": "Which repos to set as default for interviews? Enter numbers like '6, 18, 19'.",
    "header": "Default Repos",
    "options": [
      {"label": "None", "description": "No default repos — interviews will run in greenfield mode"},
      {"label": "Select repos", "description": "Type repo numbers to set as default"}
    ],
    "multiSelect": false
  }]
}

The user can select the recommended defaults (if any), choose "None", or type custom numbers.

After the user responds, use ONE MCP call to update all defaults at once:

Tool: ouroboros_brownfield
Arguments: { "action": "set_defaults", "indices": "<comma-separated IDs>" }

Example: if the user picks IDs 6, 18, 19 → { "action": "set_defaults", "indices": "6,18,19" }

This clears all existing defaults and sets the selected repos as default in one call.

If "none" → { "action": "set_defaults", "indices": "" } to clear all defaults.

Celebration Checkpoint 5.5:

Brownfield defaults updated!
Defaults: podo-app, podo-backend, grape

These repos will be used as context in interviews.

Or if "none" selected:

No default repos set. interviews will run in greenfield mode.
You can set defaults anytime by running ooo setup again.

Step 6: First Project Nudge

Encourage immediate action:


Your first Ouroboros project is waiting!

The best way to learn is by doing. Try:

  ooo interview "Build a CLI tool for [something you need]"

Or explore examples:
  ooo tutorial

You're going to love seeing vague ideas turn into
crystal-clear specifications. Let's build something amazing!

Progressive Disclosure Schedule

Reveal features gradually to avoid overwhelm:

Immediate (Plugin Mode)

ooo interview - Socratic clarification
ooo seed - Specification generation
ooo unstuck - Lateral thinking

After Setup (MCP Mode)

ooo run - TUI execution
ooo evaluate - 3-stage verification
ooo status - Drift tracking

Power User (Discover organically)

Evolutionary loop and ralph persistence
Cost prediction and optimization
Session replay and debugging
Custom agents and skills

Uninstall

When invoked with --uninstall:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  Ouroboros Uninstall
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

This will remove:
- MCP server registration from ~/.claude/mcp.json
- Ouroboros block from CLAUDE.md

This will NOT remove:
- Plugin files in .claude-plugin/
- Any generated seeds or projects
- Your project data

Uninstall Ouroboros configuration? [Yes / No]

If Yes:

Remove ouroboros entry from ~/.claude/mcp.json (if exists)
Remove  to  block from CLAUDE.md (if exists)
Confirm: "Ouroboros plugin configuration removed. To remove plugin files, run: claude plugin uninstall ouroboros"

Setup Troubleshooting

"python3: command not found"

Plugin mode still works! You can use:
- ooo interview
- ooo seed
- ooo unstuck

For Full Mode, install Python >= 3.12:
  macOS: brew install python@3.12
  Ubuntu: sudo apt install python3.12
  Windows: python.org/downloads

"uvx: command not found"

uvx is recommended but not required. Alternative:

Install Ouroboros globally (see docs/getting-started.md for all options):
  pip install ouroboros-ai

Then update ~/.claude/mcp.json with:
  "command": "python"
  "args": ["-m", "ouroboros", "mcp", "serve"]

"~/.claude/mcp.json conflicts"

Ouroboros will merge with existing MCP servers.
If you see issues, share your ~/.claude/mcp.json content and
we'll help you resolve conflicts.

Conversion Metrics Track

Track these checkpoints for conversion optimization:

Started setup (skill invoked)
Environment detected successfully
MCP server registration accepted
CLAUDE.md integration accepted
Verification passed
Brownfield repos scanned and registered
Default brownfield repo selected
First project started (ooo interview)
First seed generated (ooo seed)
First execution completed (ooo run)

A fully converted user = all checkpoints passed

Maintainer

Q00 Core maintainer

Source details

Full Name: Q00/ouroboros
Branch: main
Path in repo: skills/setup
License: MIT License
Topics: claude-code mcp workflow-automation codex-cli prompt-engineering llm python ai-agent multi-agent devtools evaluation spec-driven-development

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SKILL.md

/ouroboros:setup

Usage

Setup Wizard Flow

Step 0: Welcome & Motivation (The Hook)

Step 0.5: Community Support

Step 1: Environment Detection

Step 2: MCP Server Registration

Step 3: CLAUDE.md Integration (Optional)

Step 4: Quick Verification

Step 5: Success Summary

Step 5.5: Brownfield Repository Scan

Step 6: First Project Nudge

Progressive Disclosure Schedule

Immediate (Plugin Mode)

After Setup (MCP Mode)

Power User (Discover organically)

Uninstall

Setup Troubleshooting

"python3: command not found"

"uvx: command not found"

"~/.claude/mcp.json conflicts"

Conversion Metrics Track

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