Release logo

Release

Organization
cubeplexai
release

Prepare and publish cubeplex releases across backend, frontend, sandbox, Helm, Docker Compose, Git tags, and container registries. Use when cutting a release, bumping release versions, publishing Docker images, promoting image digests, updating deployment values, or troubleshooting release ordering.

Overview

Publishercubeplexai
Repositorycubeplex
Skill namerelease
Stars
533
Forks
46
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by cubeplexai 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/cubeplexai/cubeplex/tree/main/.agents/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/cubeplexai/cubeplex.git /tmp/cubeplex
mkdir -p .claude/skills
cp -r /tmp/cubeplex/.agents/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.

Cubeplex release workflow

Use this skill for a production or self-hosted cubeplex release. The exact version, image, tag, docs, and deployment contracts live in docs/releasing.md — read that file before acting. Do not invent a shorter checklist.

Required sequence

  1. Inspect the current branch, worktree, origin/main, and existing release tags.
  2. Prepare a release PR that bumps every version source in docs/releasing.md (packages, chart, hardcoded code refs, uv.lock, compose .env.example, and the English + Chinese deploy-doc snippets). Add the version's English and Chinese changelog pages and sidebar entry; put upgrade notes after features and fixes.
  3. Run the version-consistency check, changelog renderer/tests, docs checks, and repository CI-equivalent checks. Review the rendered GitHub Release body.
  4. Merge the release PR into main.
  5. Create v<semver> on that exact merged commit and push the tag.
  6. The tag push triggers two concurrent workflows: images.yml builds and pushes version-tagged images; release.yml verifies versions, waits for those images, renders the changelog with a generated PR appendix, writes the release manifest, and creates or updates the GitHub Release.
  7. Deploy using the manifest's release tags or digests. Do not edit chart defaults or use latest for production.

Guardrails

  • Never overwrite an existing application or sandbox version tag.
  • Do not run sandbox runtime compatibility tests from the image release workflow; existing sandbox E2E/nightly workflows remain separate.
  • Keep registry credentials and runtime secrets out of release manifests.
  • If the image build fails, fix the build; do not manually push a replacement image under the same tag.
  • Do not put this process on the user-facing docs site (docs/site/).

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 Release AI skill do?

Prepare and publish cubeplex releases across backend, frontend, sandbox, Helm, Docker Compose, Git tags, and container registries. Use when cutting a release, bumping release versions, publishing Docker images, promoting image digests, updating deployment values, or troubleshooting release ordering.

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/cubeplexai/cubeplex/tree/main/.agents/skills/release. 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 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?

It is published on GitHub by cubeplexai. 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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