Shipping A Pr logo

Shipping A Pr

Organization
JetBrains
shipping-a-pr

Use when finished work needs to ship as a pull request, or when creating, syncing, updating metadata, checking status, monitoring CI, or addressing review comments on a PR. Not for reviewing a PR you are not shipping.

Overview

PublisherJetBrains
Repositorythinkrail
Skill nameshipping-a-pr
Stars
514
Forks
42
Bundled files
6
LicenseApache-2.0
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Shipping A Pr 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/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/shipping-a-pr
  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/JetBrains/thinkrail.git /tmp/thinkrail
mkdir -p .claude/skills
cp -r /tmp/thinkrail/packages/pi-thinkrail-workflow/skills/shipping-a-pr .claude/skills/shipping-a-pr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shipping A Pr 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 Shipping A Pr 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 Shipping A Pr 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 a PR

The PR lifecycle: ship the workspace's finished work, maintain PR metadata, and keep the PR healthy when requested. One workflow, six phases as sibling docs — enter at the phase the ask names.

Completion modes

  • Snapshot mode is the default for creating, syncing, or updating a PR and for one-time status requests. Take one fresh checks and merge-state snapshot, report pending/failing/indeterminate state as observed, and stop without polling or fixing unrelated state. A push never upgrades the mode by itself.
  • Wait mode requires an explicit remote-completion ask: monitor or watch checks, investigate CI, wait until green, or make the PR merge-ready. Done means every configured check is green, the head is current with its base, and GitHub reports an affirmative merge state; a requested draft is reported as draft, never merge-ready. A repo with no CI is reported as exactly that, never silently green.

Observed, never assumed (applies to every phase)

Git and GitHub state is concurrent and mutable: the base moves, CI lags, mergeability is computed lazily, and this workflow's own steps dirty the tree they just checked. Four rules hold at every step of every phase:

  • Verify at the point of action. An irreversible step — push, gh pr create, gh pr edit, replying to a thread, declaring done — re-checks the exact state it consumes immediately before running. A gate passed earlier does not survive the mutations made since it passed.
  • Keep verification tied to the final tree. Reuse exact prior results while the inputs they cover remain unchanged. Before every code-affecting push, run project-required checks that are missing or invalidated by later code, configuration, dependency, base, or conflict-resolution changes. If a check, cleanup, or self-review causes another relevant edit, reassess and repeat before pushing.
  • Fetch, don't remember. Remote state is read fresh and completely at the moment it's needed: the current body before editing it, --paginate on every listing, git fetch before reasoning about the base.
  • Indeterminate is not affirmative. In wait mode, a pending or still-computing answer (an UNKNOWN merge state, queued checks) is polled until it resolves; done is declared only from observed affirmative state. In snapshot mode, report it as indeterminate without turning the phase into a watch.

Classify the ask

The askPhase docDefault mode
Create a PR — the work is finishedcreating.mdsnapshot
Bring the PR up to date / resolve conflicts with its basesyncing.mdsnapshot
Update the PR title or bodybody.mdsnapshot
Add or refresh screenshots on a PRscreenshots.mdsnapshot
Report the current checks / merge state oncechecks.mdsnapshot
Monitor CI / investigate or fix failing checkschecks.mdwait
Address review commentsreview-comments.mdsnapshot

Read and follow the selected phase doc — the gates and mechanics live only there; never run a phase from this spine's summary. Carry the completion mode selected above into that doc; a later push does not change it. A compound ask ("rebase, verify, and create a PR") is one flow: start at the earliest phase named; the docs chain forward on their own. If the work itself isn't finished — the ask bundles new design or implementation before the ship — that part is not this workflow's; route it per choosing-a-workflow first and come back here when it lands.

Working files

Ephemeral files this workflow uses, all under the workspace's gitignored .thinkrail/context/:

  • pr-body.md — the PR body draft; always passed via --body-file, never inline.
  • pr-shots/ — staged before/after screenshots awaiting attachment.

Both are deleted when the phase that made them completes (screenshots stay while the user is uploading by hand — see screenshots.md).

Ending

Every phase ends through checks.md in the completion mode selected above.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Shipping A Pr AI skill do?

Use when finished work needs to ship as a pull request, or when creating, syncing, updating metadata, checking status, monitoring CI, or addressing review comments on a PR. Not for reviewing a PR you are not shipping.

Why use Shipping A Pr on TypingMind?

Because you install it once and use it with any model. Shipping A Pr 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 Shipping A Pr in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JetBrains/thinkrail/tree/main/packages/pi-thinkrail-workflow/skills/shipping-a-pr. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Shipping A Pr?

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 Shipping A Pr?

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

Is the Shipping A Pr AI skill free?

Yes. It is published on GitHub by JetBrains under the Apache-2.0 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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