Coco Ship logo

Coco Ship

Community
coco-research
coco-ship

Use when finished work needs to reach a coco-managed repository (coco-research/coco or similar) — verifies branch state, commits, pushes through the corporate DLP guard only when actually needed, opens a PR against main, waits for CI, and reports the result. Never merges, never pushes to main directly.

Overview

Publishercoco-research
Repositorycoco
Skill namecoco-ship
Stars
550
Forks
12
Bundled files
Instructions only
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 coco-research on GitHub. Read the source before you install it.

Installation

Install the Coco Ship 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.
    https://github.com/coco-research/coco/tree/main/skills/coco-ship
  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/coco-research/coco.git /tmp/coco
mkdir -p .claude/skills
cp -r /tmp/coco/skills/coco-ship .claude/skills/coco-ship
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coco Ship 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 Coco Ship 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 Coco Ship 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.

Shipping to a CoCo-managed Repo

Overview

Formalizes the branch → commit → guard-aware push → PR → CI-wait → report flow used for shipping work to coco-research/coco (or any repo carrying the same corporate git-guard pre-push hook), so it doesn't have to be re-derived by hand each time.

Core principle: Verify state → commit → detect whether the guard actually applies → confirm → push → open PR → wait for real CI → report. Never merge. Never push to main directly, regardless of how it's asked.

Announce at start: "I'm using the coco-ship skill to ship this branch."

This is the direct formalization of Option 2 ("Push and Create PR") in finishing-a-development-branch, specialized for repos that carry the corporate git-guard. It assumes implementation is already done and reviewed — it doesn't replace planning skills like brainstorming, writing-plans, or GSD's phase workflow, and it doesn't run tests itself (that's finishing-a-development-branch's Step 1, or the project's own CI).

The Process

Step 1: Preflight

bash
git status -sb
git branch --show-current

If the current branch is main or master: stop. Do not commit or push here. Offer to create a feature branch first:

bash
git checkout -b <feature-branch-name>

If there's nothing to commit and the branch isn't already ahead of its upstream: stop and say so — there's nothing to ship.

Step 2: Commit

Use the standard git-commit protocol already in effect for this harness — this isn't a new invention, just invoked from inside the skill:

  1. In parallel: git status, git diff (staged + unstaged), git log (recent messages, for style).
  2. Draft a commit message from the actual diff — why, not just what — matching the repo's existing style.
  3. Stage named files explicitly. Never git add -A or git add ..
  4. Commit with a Co-Authored-By trailer, via a heredoc so formatting survives.
  5. git status again to confirm a clean tree.

If a pre-commit hook fails, fix the issue, re-stage, and create a new commit — never --amend a commit that a failed hook means never actually landed.

Step 3: Detect whether the guard bypass is actually needed

Don't assume — check:

bash
git remote -v
gh repo view <owner>/<repo> --json visibility,owner -q '"\(.visibility) \(.owner.login)"'
git config --show-origin --get core.hooksPath

A GIT_GUARD_REASON bypass is only needed when the repo is PUBLIC and the owner isn't on the guard's allowlist — check the actual guard config or ask the user which org(s) it allows, rather than assuming. If core.hooksPath doesn't point at the guard, don't assume a bypass is relevant on this machine at all — say so.

Step 4: Confirm — every time, no exceptions

This is an outward-facing action (push + open a PR), so it gets the same explicit go-ahead as any other push or PR in this session, regardless of how directly coco-ship was invoked. State plainly:

  • Target repo and branch
  • Whether a guard bypass will be used, and the exact reason string (not a placeholder)
  • That this opens a PR against main — it does not push to main directly

Wait for a clear yes before Step 5. Invoking this skill is not itself that approval.

Step 5: Push

bash
git push -u origin <branch>

Only when Step 3 determined a bypass is needed:

bash
GIT_GUARD_REASON="<specific, real reason>" git push -u origin <branch>

Never --no-verify. Never a plain --force. A --force-with-lease update to an already-open PR's branch is allowed, but still gets its own confirmation, separate from Step 4's.

Step 6: Open the PR

bash
gh pr create --base main --head <branch> --title "<title>" --body "$(cat <<'EOF'
## Summary
<2-3 bullets of what changed and why>

## Test plan
<what was verified, or a checklist of what to verify>
EOF
)"

Keep the title under 70 characters. Put detail in the body, not the title.

Step 7: Wait for CI

bash
gh pr checks <n> --watch

Don't report done while checks are still pending. If a check fails, say so plainly with the failure, don't retry blindly.

Step 8: Report

State the PR URL, the CI result, and the mergeable/review-required status. Say plainly that merging is the user's call — this skill never merges and never self-approves. If the PR author can't self-approve (most repos), say that explicitly rather than implying the PR is ready to merge on its own.

Quick Reference

StepActionConfirmation needed?
1Preflight (refuse on main)—
2Commit—
3Detect guard need—
4State plan, askYes — always
5Push(covered by Step 4)
6Open PR(covered by Step 4)
7Wait for CI—
8Report—

Common Mistakes

Assuming the guard bypass is needed without checking

  • Problem: Sets GIT_GUARD_REASON on every push, even to private or allowlisted repos, or misses that the guard isn't even installed on this machine.
  • Fix: Always run Step 3's checks; only set the env var when the repo is genuinely public and non-allowlisted.

Treating skill invocation as approval

  • Problem: Runs Steps 5–6 immediately because the user said "ship this," without a distinct confirmation of the actual push/PR plan.
  • Fix: Step 4 is a separate, explicit ask every time — state the repo, branch, guard reason (if any), and that a PR (not a direct push to main) will follow.

Reporting success before CI resolves

  • Problem: Says "done" right after gh pr create, while checks are still pending.
  • Fix: Step 7 watches until every check resolves, then Step 8 reports the real result.

Red Flags

Never:

  • Push to main or master directly, no matter how it's requested
  • Use --no-verify or a plain --force
  • Auto-merge or self-approve a PR
  • Fabricate a GIT_GUARD_REASON instead of a specific, true one
  • Skip Step 4's confirmation because the work "seems done"

Always:

  • Refuse and redirect if invoked while on main/master
  • Check whether the guard bypass is actually needed rather than assuming
  • Get explicit confirmation before the push/PR step
  • Wait for and report real CI status, not an assumed one

Integration

Formalizes: Option 2 of finishing-a-development-branch ("Push and Create PR"), specialized for repos carrying the corporate git-guard.

Distinct from: commands/team/ship.md (/team:ship, a full idea-to-product pipeline) and systems/gsd/skills/gsd-ship (GSD milestone-scoped). Neither overlaps with this skill's narrower job — shipping already-finished work through the guard and into a PR.

Pairs with: using-git-worktrees for cleanup after the PR merges (not handled by this skill).

Frequently asked questions

What does the Coco Ship AI skill do?

Use when finished work needs to reach a coco-managed repository (coco-research/coco or similar) — verifies branch state, commits, pushes through the corporate DLP guard only when actually needed, opens a PR against main, waits for CI, and reports the result. Never merges, never pushes to main directly.

Why use Coco Ship on TypingMind?

Because you install it once and use it with any model. Coco Ship 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 Coco Ship in TypingMind?

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

Which AI models can use Coco Ship?

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 Coco Ship?

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

Is the Coco Ship AI skill free?

It is published on GitHub by coco-research. Check the repository for licensing terms. 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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