Requirement crystallization engine — Socratic interviews, seed generation, and 3-stage evaluation
npx claudepluginhub q00/ouroborosSelf-improving AI workflow system. Crystallize requirements before execution with Socratic interview, ambiguity scoring, and 3-stage evaluation.
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O U R O B O R O S
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Stop prompting. Start specifying.
Specification-first workflow engine for AI coding agents
Quick Start · Why · Results · How It Works · Commands · Philosophy
New: PM Mode —
ooo pmgenerates a PRD through a guided PM-focused interview. Ouroboros now supports product management workflows: stakeholder alignment, user story mapping, and structured PRD generation — all driven by the same Socratic engine.> ooo pm "I want to build a notification system"
Turn a vague idea into a verified, working codebase -- with any AI coding agent.
Ouroboros sits between you and your AI runtime (Claude Code, Codex CLI, or others). It replaces ad-hoc prompting with a structured specification-first workflow: interview, crystallize, execute, evaluate, evolve.
Most AI coding fails at the input, not the output. The bottleneck is not AI capability -- it is human clarity.
| Problem | What Happens | Ouroboros Fix |
|---|---|---|
| Vague prompts | AI guesses, you rework | Socratic interview exposes hidden assumptions |
| No spec | Architecture drifts mid-build | Immutable seed spec locks intent before code |
| Manual QA | "Looks good" is not verification | 3-stage automated evaluation gate |
Install — one command, everything auto-detected:
curl -fsSL https://raw.githubusercontent.com/Q00/ouroboros/main/scripts/install.sh | bash
Build — open your AI coding agent and go:
> ooo interview "I want to build a task management CLI"
Works with Claude Code and Codex CLI. The installer detects your runtime, registers the MCP server, and installs skills automatically.
Claude Code plugin only (no system package):
claude plugin marketplace add Q00/ouroboros && claude plugin install ouroboros@ouroboros
Then run ooo setup inside a Claude Code session.
pip / uv / pipx:
pip install ouroboros-ai # base
pip install ouroboros-ai[claude] # + Claude Code deps
pip install ouroboros-ai[litellm] # + LiteLLM multi-provider
pip install ouroboros-ai[mcp] # + MCP server/client support
pip install ouroboros-ai[tui] # + Textual terminal UI
pip install ouroboros-ai[all] # everything
ouroboros setup # configure runtime
See runtime guides: Claude Code · Codex CLI
ouroboros uninstall
Removes all configuration, MCP registration, and data. See UNINSTALL.md for details.
Python >= 3.12 required. See pyproject.toml for the full dependency list.
After one loop of the Ouroboros cycle, a vague idea becomes a verified codebase:
| Step | Before | After |
|---|---|---|
| Interview | "Build me a task CLI" | 12 hidden assumptions exposed, ambiguity scored to 0.19 |
| Seed | No spec | Immutable specification with acceptance criteria, ontology, constraints |
| Evaluate | Manual review | 3-stage gate: Mechanical (free) -> Semantic -> Multi-Model Consensus |
interview -> Socratic questioning exposed 12 hidden assumptions
seed -> Crystallized answers into an immutable spec (Ambiguity: 0.15)
run -> Executed via Double Diamond decomposition
evaluate -> 3-stage verification: Mechanical -> Semantic -> Consensus
Use
ooo <cmd>inside your AI coding agent session, orouroboros init start,ouroboros run seed.yaml, etc. from the terminal.
The serpent completed one loop. Each loop, it knows more than the last.
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