Release logo

Release

OrganizationPopular
vellum-ai
release

Cut a new release: create the release branch (staging bake), then dispatch the production Release run on that branch.

Overview

Publishervellum-ai
Repositoryvellum-assistant
Skill namerelease
Stars
1.4K
Forks
208
Bundled files
Instructions only
LicenseMIT
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 vellum-ai on GitHub. Read the source before you install it.

Installation

Install the Release 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/vellum-ai/vellum-assistant/tree/main/.claude/skills/release
  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/vellum-ai/vellum-assistant.git /tmp/vellum-assistant
mkdir -p .claude/skills
cp -r /tmp/vellum-assistant/.claude/skills/release .claude/skills/release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Release 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 Release 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 Release 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.

Cut a new release. Releases are a two-step process:

  1. Branch cut → staging bake: create-release-branch.yml computes the version from the bump type, deletes any stale release/v<X.Y.Z> branch, cuts a fresh one from main HEAD with the version-bump commit, and pushes it. That push triggers a Release run on the branch which is a staging deploy (push-triggered and main-dispatched Release runs are always staging).
  2. Production: dispatching release.yml on the release/v<X.Y.Z> branch runs the full production release — tag, GitHub Release, DMG sign/notarize/publish, npm packages, Docker Hub images, iOS TestFlight, platform dependency bump, and the merge-back of the release branch to main.

Step 1 is a manual workflow_dispatch of create-release-branch.yml (the Tue/Thu 7:52am ET cron is disabled). A human performs step 2 after the staging bake is green. A release/v<X.Y.Z> branch with no corresponding GitHub Release means a cut was never promoted. Re-running step 1 refreshes it from current main.

The user may pass $ARGUMENTS as the bump type for step 1: patch, minor, major, or hotfix (patch cut from the latest release tag's commit instead of main, pushed [skip ci] for manual cherry-picks). Default to patch.

Steps

1. Pull latest main and show the payload

bash
git checkout main && git pull
git describe --tags --abbrev=0
git log --oneline "$(git describe --tags --abbrev=0)"..origin/main | head -20

Confirm with the user before proceeding unless they already asked for the release explicitly.

2. Cut the release branch (staging bake)

bash
gh workflow run create-release-branch.yml \
  --repo vellum-ai/vellum-assistant \
  --ref main \
  --field bump=<patch|minor|major|hotfix>

Then wait for the branch cut and find the staging Release run its push triggered:

bash
gh run list --workflow="Create Release Branch" --limit 1
gh run list --workflow=Release --branch "release/v<X.Y.Z>" --limit 1

The version appears in the branch name; the staging run takes ~15-20 minutes. Wait for it to succeed — it is the CI bake for the exact release payload. If it fails, fix main and re-run this step (it recuts the branch from main HEAD).

3. Dispatch the production release

bash
gh workflow run release.yml \
  --repo vellum-ai/vellum-assistant \
  --ref "release/v<X.Y.Z>"

The only dispatch input is the optional slack_user_id (--field slack_user_id=U…) for the release notification; omit it when unknown.

4. Verify

The production run takes ~20 minutes. When it completes:

bash
gh release list --limit 1        # v<X.Y.Z> should be Latest
git fetch --tags && git tag -l "v<X.Y.Z>"
git log --oneline origin/main -1 # merge-back commit "Release v<X.Y.Z>"

If the merge-back to main failed, the run's Slack notification includes the manual-merge command.

5. Report

Output:

  • The version number and a link to the production run
  • Confirmation that the GitHub Release, tag, and merge-back all landed

Frequently asked questions

What does the Release AI skill do?

Cut a new release: create the release branch (staging bake), then dispatch the production Release run on that branch.

Why use Release on TypingMind?

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

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

Which AI models can use Release?

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 Release?

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

Is the Release AI skill free?

Yes. It is published on GitHub by vellum-ai under the MIT 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇