Ouroboros Auto

Ouroboros Auto is an AI Engineering skill for Claude Code, published by Q00 in ouroboros.

5.4K stars550 forkson Q00/ouroborosAdded 2026/08/16+1% in starsRepository updated 2026/08/16

agent-osagentic-aiai-agentai-coding-agentclaude-codeclicodexcoding-agentdeepseekdeepseek-harnessdeveloper-toolsdshdsh-plugingithub-copilotllm-evaluationllm-orchestrationloop-engineeringmcpopencode

Install in seconds

Install Ouroboros Auto

Copy Ouroboros Auto into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Q00/ouroboros/tree/main/skills/auto ~/.claude/skills/auto

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Q00/ouroboros.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/auto/SKILL.md in Q00/ouroboros
Installs to: ~/.claude/skills/auto
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Ouroboros Auto does

Ouroboros Auto automatically converges from a goal to an A-grade Seed and executes it. Run it when you want a single task description to go through Socratic interviews, Seed generation, review/repair, and execution without manual intervention.

Ouroboros Auto is cataloged under AI Engineering on DirSkills. Ouroboros Auto comes from a repository tagged agent-os, agentic-ai, ai-agent, ai-coding-agent and claude-code.

Documentation

README

Excerpt

/ouroboros:auto

Run the full-quality auto pipeline from a single task description.

Dispatch requirement

This skill must be executed by invoking MCP tool ouroboros_start_auto. Do not manually inspect repositories, run shell commands, query GitHub, edit files, or otherwise emulate the auto pipeline as a substitute. Full auto runs routinely exceed interactive MCP tool-call timeouts, so the background starter is the supported default: it returns job_id and auto_session_id quickly. Retain both. When response.meta.job_observer is present, delegate its read-only wait/result contract to exactly one independent child session. The main session keeps only start and explicit on-demand status responsibility.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Ouroboros Auto

What else does Q00 publish alongside Ouroboros Auto?
Ouroboros Auto is one of 25 skills that DirSkills catalogs from Q00/ouroboros, the repository it ships in. Its siblings there include Brownfield, Brownfield and Cancel. Each one is a separate skill with its own page in this directory, installs the same way Ouroboros Auto does, and is maintained by Q00 in that same repository. The rest of the collection is listed on the Q00/ouroboros page.
How does Ouroboros Auto compare to other AI Engineering skills?
Ouroboros Auto ranks #468 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Ouroboros Auto against them. Open each page to compare what they document and how they install.