clawdis
Skills for the OpenClaw personal AI assistant, covering browser automation, routing requests to coding agents, presenting canvas widgets, running apps on temporary machines, and sharing diffs.
Turns a rough feature idea into a written spec through guided questions, then has the agent build it and checks the result against that spec. Instead of hand-checking whether the work is finished, you get an automatic evaluation gate that runs in your coding agent.
Auto-invoked ships a router so the right skill fires automatically as you prompt. No remembering which skill to call.
Normal is the plain upstream plugin, installed as-is. You invoke its skills yourself.
Claude Code
The plugin> /plugin marketplace add Q00/ouroboros> /plugin install ouroboros@ouroborosAuto-invocation> /plugin marketplace add flowy-sh/flowy-core> /plugin install flowy-core> /plugin install flowy-ouroboros
Codex
$ npx skills add Q00/ouroboros -a codex
Cursor
$ npx skills add Q00/ouroboros -a cursor
Gemini CLI
$ npx skills add Q00/ouroboros -a gemini-cli
GitHub Copilot
$ copilot plugin marketplace add Q00/ouroboros$ copilot plugin install ouroboros@ouroboros
OpenCode
$ npx skills add Q00/ouroboros -a opencode
Windsurf
$ npx skills add Q00/ouroboros -a windsurf



English | 한국어 | 简体中文
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O U R O B O R O S
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It gets smarter on its own. We just hold the line.
Skip the prompt engineering. The agent runs, fails, and gets smarter every generation. The grading command and expected result never make it into the success contract we hand it.
The Agent OS for replayable AI coding workflows
Quick Start · Why · Results · How It Works · Commands · Philosophy · Guide
# macOS / Linux / WSL 2
curl -fsSL https://raw.githubusercontent.com/Q00/ouroboros/main/scripts/install.sh | OUROBOROS_INSTALL_REF=readme-hero bash
# Windows (PowerShell) — no Python needed; installs Git and uv for you
irm https://raw.githubusercontent.com/Q00/ouroboros/main/scripts/install.ps1 | iex
Demo videos for each runtime.
Turn a vague idea into a verified, working codebase -- across Claude Code, Codex CLI, OpenCode, Hermes, Gemini, Kiro, Copilot, Pi, OMP, Zcode, Goose, GJC, Antigravity, and Grok.
Ouroboros is an Agent OS for AI coding: a local-first runtime layer that turns non-deterministic agent work into a replayable, observable, policy-bound execution contract. It replaces ad-hoc prompting with a structured specification-first workflow: interview, crystallize, execute, evaluate, evolve.
Like any OS, Ouroboros is split into a stable OS layer of primitives, an application layer of domain workflows, and a shell that humans actually sit in front of. Three repos, one stack:
| Layer | Repo | Role | What it gives you |
|---|---|---|---|
| Shell (terminal client) | Ouro-labs/ourocode | Native terminal UI for running ooo workflows across Claude / Codex / Gemini CLIs in one session | TUI, wonderTool decision pickers, MCP pane state, command discovery |
| Apps (domain workflows) | Ouro-labs/ouroboros-plugins | UserLevel plugin contract — composes core primitives into installable domain programs (PR ops, Jira sync, incidents, releases) | Plugin manifest, scoped permissions, audit/provenance, reference plugins |
| OS (this repo) | Q00/ouroboros | Agent OS core — Seed, Ledger, Runtime, MCP, safety boundaries | ooo commands, spec-first workflow engine, multi-runtime adapter |
How they connect:
ourocode ──► ooo / ouroboros-plugins ──► ouroboros core (Seed · Ledger · MCP · Runtime)
shell user-level apps kernel
ouroboros) owns the contract: every action becomes a
Seed-bound, ledger-recorded, replayable event — regardless of which LLM
executes it.ouroboros-plugins) declare scoped capabilities against that
contract, so domain workflows (review a PR, triage a Linear ticket, run a
release) stay auditable and policy-bound instead of being one-off prompts.Use ouroboros alone with any supported CLI, layer plugins on for domain
workflows, or install ourocode when you want a unified terminal cockpit.
Disclaimer. The Ouroboros project and community are not affiliated with any cryptocurrency, token, memecoin, or trading community — including, but not limited to, any "ouroboros" tickers on pump.fun or other launchpads. This is an open-source developer tool. We do not issue, endorse, or hold any coins. Any token claiming association with this project is unauthorized.
Naming note. A separate, unaffiliated open-source project also uses the name "Ouroboros" — Anton Razzhigaev's self-modifying, autonomous-memory agent at
github.com/razzant/ouroboros. No shared code, no relationship. This
Skills for the OpenClaw personal AI assistant, covering browser automation, routing requests to coding agents, presenting canvas widgets, running apps on temporary machines, and sharing diffs.
Gives Claude Code users skills to drive Orca-managed worktrees, terminals and the embedded browser through the orca CLI, plus Jira and Linear ticket work and inline HTML chat visuals. Covers chart, table and mockup output.
Orchestrates teams of AI agents to run work like a company, with a Node.js server and React UI. Adds skills for delegating tasks, following up on results, reviewing team status, and managing Paperclip tasks from Hermes.
Organizes your AI agents for round-the-clock operation, with tools to hire, schedule and report on your agent team. Lets you oversee the agents without staying online yourself.
Install it once and the right skill fires as you prompt, with no slash command to remember. It is listed on Flowy in the Agent Orchestration category. It includes threat-model, triage, vuln-scan. Free and open source.
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