Greptimedb Release logo

Greptimedb Release

OrganizationPopular
GreptimeTeam
greptimedb-release

Runbook for publishing a new GreptimeDB version (tag + GitHub release + docs release-note PR) on the upstream GreptimeTeam/greptimedb repo. Use when asked to "release" / "publish" a GreptimeDB version (e.g. v1.1.0, v1.0.3).

Overview

PublisherGreptimeTeam
Repositorygreptimedb
Skill namegreptimedb-release
Stars
6.7K
Forks
562
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Greptimedb 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/GreptimeTeam/greptimedb/tree/main/.agents/skills/greptimedb-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/GreptimeTeam/greptimedb.git /tmp/greptimedb
mkdir -p .claude/skills
cp -r /tmp/greptimedb/.agents/skills/greptimedb-release .claude/skills/greptimedb-release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Greptimedb 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 Greptimedb 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 Greptimedb 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.

GreptimeDB Release Runbook

Publish a formal GreptimeDB release on GreptimeTeam/greptimedb. Always operate against that repo (for gh, pass --repo GreptimeTeam/greptimedb). Changelog generation is a separate, involved task — use the greptimedb-release-note skill for it.

This whole flow touches public infrastructure. Confirm with the user before the outward-facing step (creating the release, which creates the tag and triggers CI).

Prerequisites & remote

  • Tools: gh (check with gh auth status) and git. Changelog generation additionally needs git cliff and Python — see the greptimedb-release-note skill.
  • Resolve the remote first. This runbook writes <remote> for the git remote pointing at GreptimeTeam/greptimedb; substitute your actual name (often upstream, sometimes origin on a direct clone):
    git remote -v | grep -i 'GreptimeTeam/greptimedb' | awk '{print $1}' | head -1

0. Inputs: version and branch

  • Ask the user for the version to release (e.g. 1.1.0, 1.0.3) and, if needed, the branch.
  • Branch is inferred from version: MAJOR.MINOR → release/v<MAJOR>.<MINOR>.
    • v1.0.0 / v1.0.1 / v1.0.2 live on release/v1.0; v1.1.0 lives on release/v1.1.
    • Infer it, then double-check with the user.
  • New minor/major (X.Y.0) is cut from main. If release/vX.Y does not exist on the remote, offer to create it from the intended main commit (with the user's consent): git push <remote> <commit>:refs/heads/release/vX.Y.
  • Patch (X.Y.Z, Z>0) must use the existing release/vX.Y branch (it carries cherry-picked commits).
  • Check what exists on the remote: git ls-remote --heads <remote> 'release/*'.

1. Verify the Cargo version

The workspace version on the release branch must equal the version being released, or stop. Fetch the branch first, then read FETCH_HEAD directly — git fetch <remote> release/vX.Y only opportunistically updates the remote-tracking ref <remote>/release/vX.Y (and only when the remote has a matching configured refspec), so it may be missing or stale (e.g. a custom <remote>, or a branch just created in §0). Reading FETCH_HEAD always reflects the tip just fetched:

git fetch <remote> release/vX.Y
git show FETCH_HEAD:Cargo.toml | grep -A30 '\[workspace.package\]' | grep -m1 version

(For a fresh minor cut from main, <remote>/main and release/vX.Y are usually the same commit.)

2. Generate and curate the changelog

Use the greptimedb-release-note skill. It produces CHANGELOG-vX.Y.Z.md (uncommitted) and the docs-blog variant. Review the highlights with the user and iterate before publishing.

3. Create the GitHub release (creates the tag + triggers CI)

Do NOT pre-create the tag. Creating the release creates the tag and fires the tag-push CI (.github/workflows/release.yml) that builds all binaries (~hours). Confirm with the user, then:

gh release create vX.Y.Z \
  --repo GreptimeTeam/greptimedb \
  --target release/vX.Y \
  --title "Release vX.Y.Z" \
  --notes-file CHANGELOG-vX.Y.Z.md \
  --prerelease
  • Title convention: Release vX.Y.Z.
  • Always create as --prerelease: prerelease here is just a "build in progress" marker. The CI clears it on success (see §5). (The user creating it on the web works too.)
  • Verify: gh release view vX.Y.Z --repo GreptimeTeam/greptimedb --json name,tagName,isPrerelease,draft,targetCommitish.

4. Open the docs release-note PR (do not wait for CI)

Right after triggering the release, open the docs draft PR (see the docs section of the greptimedb-release-note skill). It only needs the finalized changelog.

Then delete the local CHANGELOG-vX.Y.Z.md (its content now lives in the release body and the docs blog post).

5. After the CI build finishes (~hours)

CI's publish-github-release action, for a tag matching ^vX.Y.Z$, runs ncipollo/release-action with allowUpdates: true, prerelease=false, makeLatest=true, omitBody=true (so it keeps our changelog body but finalizes the flags). These flags are described from the current .github/workflows/release.yml — verify against the workflow if behavior differs. Verify success:

gh release view vX.Y.Z --repo GreptimeTeam/greptimedb --json isPrerelease,assets

Latest handling is conditional on whether this is the newest version:

  • Releasing the latest version (e.g. v1.1.0 when nothing newer exists) → CI's finalized state (non-prerelease, latest) is correct; do nothing.
  • Releasing a non-latest line (e.g. a patch v1.0.3 while v1.1.0 is already latest) → set it back to non-latest after CI finishes: gh release edit vX.Y.Z --repo GreptimeTeam/greptimedb --latest=false.

6. Rollback (only on failure, with double confirmation)

Show the user exactly what will be removed first; never delete blindly.

gh release delete vX.Y.Z --repo GreptimeTeam/greptimedb   # remove the release
git push <remote> :refs/tags/vX.Y.Z                        # remove the tag

Conventions / gotchas

  • Remotes: <remote> is whatever points at GreptimeTeam/greptimedb (see Prerequisites). gh defaults can be unreliable in a repo with many remotes — always pass --repo GreptimeTeam/greptimedb.
  • Release title is always Release vX.Y.Z.
  • When reasoning about "previous version", skip nightly / build-suffixed tags (*-nightly-*, vX.Y.Z-rc.N-<sha>-<date>-*).

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 Greptimedb Release AI skill do?

Runbook for publishing a new GreptimeDB version (tag + GitHub release + docs release-note PR) on the upstream GreptimeTeam/greptimedb repo. Use when asked to "release" / "publish" a GreptimeDB version (e.g. v1.1.0, v1.0.3).

Why use Greptimedb Release on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/GreptimeTeam/greptimedb/tree/main/.agents/skills/greptimedb-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 Greptimedb 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 Greptimedb Release?

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

Is the Greptimedb Release AI skill free?

Yes. It is published on GitHub by GreptimeTeam 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.

View all

Set up your own AI workspace now

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