Agent skill

Omg Autopilot

by zereight in zereight/gitlab-mcp

Full autonomous execution from idea to working code. An agent skill from zereight/gitlab-mcp.

MITAuto-check passed

Install Omg Autopilot

skills CLI
$ npx skills add zereight/gitlab-mcp --skill omg-autopilot -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install zereight/gitlab-mcp omg-autopilot --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/zereight/gitlab-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/omg-autopilot .claude/skills/omg-autopilot && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
omg-autopilot
GitHub stars
2k
Used in
1 other repo
Token cost
~713 tokens
SKILL.md length
311 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

Full autonomous execution from idea to working code. An agent skill from zereight/gitlab-mcp.

  • Works in 6 steps: Expansion → Planning → Execution → …
  • Says: autopilot
  • SKILL.md covers When to Use, When NOT to Use, Execution Pipeline and Stop Conditions, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Omg Autopilot is an agent skill from zereight/gitlab-mcp. Full autonomous execution from idea to working code. Activate when user says: autopilot, auto-pilot, autonomous, build me, create me, make me, full auto, handle it all, or "I want a/an..."

Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: First gitlab mcp for you, building together. The licence is MIT.

When your agent uses it

  • Says: autopilot

Example prompts

  • “I want a/an...”
  • “/omg-autopilot”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Expansion
  2. Planning
  3. Execution
  4. QA
  5. Validation
  6. Cleanup

What it can do on your machine

Read from SKILL.md and the folder at commit 035e9d1. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Omg Autopilot loads about 713 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 311 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~713

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from zereight/gitlab-mcp at commit 035e9d1, republished under its MIT licence (© zereight). 311 words, ~713 tokens.

Download SKILL.mdSave it as .claude/skills/omg-autopilot/SKILL.md (or your agent's skills folder).
name
omg-autopilot
description
Full autonomous execution from idea to working code. Activate when user says: autopilot, auto-pilot, autonomous, build me, create me, make me, full auto, handle it all, or "I want a/an..."
argument-hint
<product idea or task description>

OMG Autopilot

OMG Autopilot takes a brief product idea and autonomously handles the full lifecycle: requirements analysis, technical design, planning, parallel implementation, QA cycling, and multi-perspective validation.

When to Use

  • User wants end-to-end autonomous execution from an idea to working code
  • Task requires multiple phases: planning, coding, testing, and validation
  • User wants hands-off execution

When NOT to Use

  • User wants to explore options → use /plan
  • Single focused code change → use /ralph or delegate to @executor
  • Quick fix or small bug → delegate directly to @executor

Execution Pipeline

Phase 0 - Expansion

Turn the user's idea into a detailed spec.

  • If ralplan consensus plan exists (.omc/plans/ralplan-*.md): Skip Phase 0 AND Phase 1 → jump to Phase 2
  • If deep-interview spec exists (.omc/specs/deep-interview-*.md): Use pre-validated spec, skip to Phase 1
  • If input is vague: Offer redirect to /deep-interview for clarification
  • Otherwise: @analyst extracts requirements, @architect creates technical specification
  • Output: .omc/autopilot/spec.md
  • Track phase: omg_write_state(phase="expansion_done")
Phase 1 - Planning

Create an implementation plan from the spec.

  • @architect creates plan (direct mode)
  • @critic validates plan
  • Output: .omc/plans/autopilot-impl.md
  • Track: omg_write_state(phase="planning_done")
Phase 2 - Execution

Implement the plan using parallel execution.

  • Route tasks by complexity to @executor
  • Run independent tasks in parallel
  • Track: omg_write_state(phase="execution_done")
Phase 3 - QA

Cycle until all tests pass (max 5 cycles).

  • Build, lint, test, fix failures
  • Stop early if the same error repeats 3 times (fundamental issue)
  • Track: omg_write_state(phase="qa_done")
Phase 4 - Validation

Multi-perspective review in parallel.

  • @architect: Functional completeness
  • @security-reviewer: Vulnerability check
  • @code-reviewer: Quality review
  • All must approve; fix and re-validate on rejection
  • Track: omg_write_state(phase="validation_done")
Phase 5 - Cleanup

Delete all state files on successful completion.

  • Run /cancel for clean exit

Stop Conditions

  • Same QA error persists across 3 cycles → report fundamental issue
  • Validation keeps failing after 3 rounds → report issues
  • User says "stop", "cancel", or "abort"

Checklist

  • All 5 phases completed
  • All validators approved in Phase 4
  • Tests pass (verified with fresh output)
  • Build succeeds
  • State files cleaned up

© zereight, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .github/skills/omg-autopilot of zereight/gitlab-mcp.

Open the folder on GitHubat commit 035e9d1

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in zereight/gitlab-mcp, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Omg Autopilot next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Omg Autopilot compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Omg Autopilot this skillzereight/gitlab-mcp2k1 repos~713Automated safety check: PassMIT
AutopilotYeachan-Heo/oh-my-claudecode40k—~4.4kAutomated safety check: PassMIT
Idea Darwinsickn33/agentic-awesome-skills47k2 repos~1.1kAutomated safety check: PassMIT
Idea Refinementaddyosmani/agent-skills104k6 repos~2kAutomated safety check: PassMIT
Modeling Activation MetricsPostHog/posthog40k—~1.4kAutomated safety check: PassCustom licence
Same Idea Both Platformssickn33/agentic-awesome-skills47k1 repos~1.4kAutomated safety check: PassMIT

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    104k GitHub starsUsed in 6 repos~2k tokens
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  • Same Idea Both Platforms

    sickn33/agentic-awesome-skills

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More from zereight/gitlab-mcp

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  • OMG Mode Canceller

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    Detects which autonomous OMG mode is currently active - Autopilot, Ralph, Ultrawork, UltraQA, Team or Self-Improve - and shuts it down cleanly.

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  • CCG Tri-Model Orchestration

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  • Remember Project Knowledge

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    2k GitHub starsUsed in 1 repo~846 tokens
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  • Pre-Commit Security Scan

    zereight/gitlab-mcp

    Runs a fast security sweep of recent code changes before a commit or PR, checking for leaked secrets, vulnerable dependencies, unsafe input handling and auth gaps.

    2k GitHub starsUsed in 1 repo~859 tokens
    Auto-check: notes
  • Skill Inventory Stocktake

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    Audits a project's skill directories for broken frontmatter, missing template sync and quality gaps, then produces a health report of what needs fixing.

    2k GitHub starsUsed in 1 repo~1k tokens
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Questions about Omg Autopilot

What does Omg Autopilot do?

Full autonomous execution from idea to working code. An agent skill from zereight/gitlab-mcp. Omg Autopilot is an agent skill from zereight/gitlab-mcp. Full autonomous execution from idea to working code.

When should I use Omg Autopilot?

Omg Autopilot fits situations like: says: autopilot.

How do I install Omg Autopilot in Claude Code?

Run `npx skills add zereight/gitlab-mcp --skill omg-autopilot -a claude-code`. Or copy the skill folder (.github/skills/omg-autopilot in zereight/gitlab-mcp) into .claude/skills/omg-autopilot in your project. Claude Code loads it when a task matches its description.

How do I install Omg Autopilot in Codex?

Run `npx skills add zereight/gitlab-mcp --skill omg-autopilot -a codex`. Or copy the skill folder (.github/skills/omg-autopilot in zereight/gitlab-mcp) into .agents/skills/omg-autopilot in your project. Codex loads it when a task matches its description.

Can I use Omg Autopilot in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zereight/gitlab-mcp --skill omg-autopilot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/omg-autopilot, .gemini/skills/omg-autopilot, .github/skills/omg-autopilot and .opencode/skills/omg-autopilot in your project.

What does Omg Autopilot need to run?

SKILL.md names no scripts, command-line tools or credentials: Omg Autopilot is instructions for the agent only.

Does Omg Autopilot access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Omg Autopilot safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Omg Autopilot use?

Omg Autopilot is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Omg Autopilot use?

About 713 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Omg Autopilot?

Skills that share tags, products or a category with Omg Autopilot: Autopilot (Yeachan-Heo/oh-my-claudecode, 40k stars), Idea Darwin (sickn33/agentic-awesome-skills, 47k stars), Idea Refinement (addyosmani/agent-skills, 104k stars) and Modeling Activation Metrics (PostHog/posthog, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Omg Autopilot?

zereight (a GitHub user) maintains it in zereight/gitlab-mcp, which has 2,033 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 10, 2026.

Source: zereight/gitlab-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.