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Ouroboros Help

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Q00
ouroboros-help

Full reference guide for Ouroboros commands and agents

Overview

PublisherQ00
Repositoryouroboros
Skill nameouroboros-help
Stars
6K
Forks
605
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Q00 on GitHub. Read the source before you install it.

Installation

Install the Ouroboros Help 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/Q00/ouroboros.git /tmp/ouroboros
mkdir -p .claude/skills
cp -r /tmp/ouroboros/skills/help .claude/skills/ouroboros-help
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ouroboros Help 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 Ouroboros Help 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 Ouroboros Help 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.

/ouroboros:ouroboros-help

Full reference guide for Ouroboros power users.

Usage

ooo help
/ouroboros:ouroboros-help

What Is Ouroboros?

Ouroboros is a requirement crystallization engine for AI workflows. It transforms vague ideas into validated specifications through:

  1. Socratic Interview - Exposes hidden assumptions
  2. Seed Generation - Creates immutable specifications
  3. PAL Routing - Auto-escalates/descends model complexity
  4. Lateral Thinking - 5 personas to break stagnation
  5. 3-Stage Evaluation - Mechanical > Semantic > Consensus

All Commands

Core Commands

CommandPurposeMode
oooWelcome + quick startPlugin
ooo interviewSocratic requirement clarificationPlugin
ooo seedGenerate validated seed specPlugin
ooo runExecute seed workflowMCP
ooo evaluate3-stage verificationMCP
ooo unstuck5 lateral thinking personasPlugin
ooo statusSession status + drift checkMCP
ooo resume-sessionList in-flight sessions and re-attach commandsCLI
ooo setupInstallation wizardPlugin
ooo configSettings GUI — per-stage agents & models (browser here, TUI in a terminal)CLI
ooo welcomeFirst-touch welcome guidePlugin
ooo tutorialInteractive hands-on learningPlugin
ooo helpThis reference guidePlugin
ooo pmPM-focused interview + PRD generationMCP
ooo qaGeneral-purpose QA verdict for any artifactPlugin
ooo cancelCancel stuck or orphaned executionsCLI
ooo updateCheck for updates + upgrade to latestPlugin
ooo brownfieldScan and manage brownfield repo defaultsMCP
ooo publishPublish Seed as GitHub Issues for teamsPlugin

Evolutionary Loop

CommandPurposeMode
ooo evolveStart/monitor evolutionary development loopMCP
ooo ralphClient-driven loop until verified (uses background evolve_step jobs)Plugin + MCP

Plugin = Works immediately after ooo setup. MCP = Requires ooo setup (Python >= 3.12 auto-detected). Run setup once to unlock all features.

Natural Language Triggers

PhraseTriggers
"interview me", "clarify requirements", "socratic interview"ooo interview
"crystallize", "generate seed", "create seed", "freeze requirements"ooo seed
"ouroboros run", "execute seed", "run seed", "run workflow"ooo run
"evaluate this", "3-stage check", "verify execution"ooo evaluate
"think sideways", "i'm stuck", "break through", "lateral thinking"ooo unstuck
"am I drifting?", "drift check", "session status"ooo status

Utility Triggers

PhraseTriggers
"write prd", "pm interview", "product requirements", "create prd"ooo pm
"qa check", "quality check"ooo qa
"cancel execution", "stop job", "kill stuck", "abort execution"ooo cancel
"in-flight sessions", "mcp disconnected", "lost Ouroboros execution"ooo resume-session
"update ouroboros", "upgrade ouroboros"ooo update
"open settings", "change model", "change agent", "configure backend"ooo config
"brownfield defaults", "brownfield scan"ooo brownfield
"publish to github", "create issues from seed", "seed to issues"ooo publish

Loop Triggers

PhraseTriggers
"ralph", "don't stop", "must complete", "until it works", "keep going"ooo ralph
"evolve", "evolutionary loop", "iterate until converged"ooo evolve

Available Skills

Core Skills

SkillPurposeMode
/ouroboros:welcomeFirst-touch welcome experiencePlugin
/ouroboros:interviewSocratic requirement clarificationPlugin
/ouroboros:seedGenerate validated seed specPlugin
/ouroboros:ouroboros-runExecute seed workflowMCP
/ouroboros:evaluate3-stage verificationMCP
/ouroboros:unstuck5 lateral thinking personasPlugin
/ouroboros:ouroboros-statusSession status + drift checkMCP
/ouroboros:resume-sessionList in-flight sessions and re-attach commandsCLI
/ouroboros:setupInstallation wizardPlugin
/ouroboros:tutorialInteractive hands-on learningPlugin
/ouroboros:ouroboros-configSettings GUIPlugin
/ouroboros:ouroboros-helpThis guidePlugin
/ouroboros:pmPM-focused interview + PRD generationMCP
/ouroboros:qaGeneral-purpose QA verdict for any artifactPlugin
/ouroboros:cancelCancel stuck or orphaned executionsCLI
/ouroboros:updateCheck for updates + upgrade to latestPlugin
/ouroboros:brownfieldScan and manage brownfield repo defaultsMCP
/ouroboros:publishPublish Seed as GitHub Issues for teamsPlugin

Loop Skills

SkillPurposeBest For
/ouroboros:ralphClient-driven loop over background evolve_step jobs"Don't stop", must complete
/ouroboros:evolveEvolutionary ontology refinementSpec iteration until convergence

Available Agents

AgentPurpose
ouroboros:socratic-interviewerExposes hidden assumptions through questioning
ouroboros:ontologistFinds root problems vs symptoms
ouroboros:seed-architectCrystallizes requirements into seed specs
ouroboros:evaluatorThree-stage verification
ouroboros:contrarian"Are we solving the wrong problem?"
ouroboros:hacker"Make it work first, elegance later"
ouroboros:simplifier"Cut scope to absolute minimum"
ouroboros:researcher"Stop coding, start investigating"
ouroboros:architect"Question the foundation, redesign if needed"

Setup

After installing Ouroboros, run ooo setup once to register the MCP server. This connects your runtime backend to the Ouroboros Python core and unlocks all features.

ooo setup    # One-time setup (~1 minute)

RFC #1392 State Breadcrumb Footer

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_session_status when that MCP projection is available; otherwise derive it from this skill's actual outcome. Never use a linear Step N of M footer because Ouroboros is an evolutionary loop. When the next action is genuinely a choice, list 2-3 honest options in the next: clause. The breadcrumb line must be the last line of the response.

Frequently asked questions

What does the Ouroboros Help AI skill do?

Full reference guide for Ouroboros commands and agents

Why use Ouroboros Help on TypingMind?

Because you install it once and use it with any model. Ouroboros Help 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 Ouroboros Help in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Q00/ouroboros/tree/main/skills/help. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ouroboros Help?

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 Ouroboros Help?

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

Is the Ouroboros Help AI skill free?

Yes. It is published on GitHub by Q00 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.

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