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Agent skill

Release Datafusion Ducklake

by datafusion-contrib in datafusion-contrib/datafusion-ducklake

Prepare and publish a new release of datafusion-ducklake to crates.io

Apache-2.0Auto-check passedDevelopment

Install Release Datafusion Ducklake

skills CLI
$ npx skills add datafusion-contrib/datafusion-ducklake --skill release-datafusion-ducklake -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install datafusion-contrib/datafusion-ducklake release-datafusion-ducklake --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/datafusion-contrib/datafusion-ducklake.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/release .claude/skills/release-datafusion-ducklake && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
release-datafusion-ducklake
GitHub stars
197
Token cost
~903 tokens
SKILL.md length
435 words
Files
1
Skills in repo
1
Repo updated
First seen
Licence
Apache-2.0

At a glance

Prepare and publish a new release of datafusion-ducklake to crates.io

  • Works in 10 steps: Determine version → Ensure clean, up-to-date main branch → Create release branch → …
  • Development work in your project
  • SKILL.md covers Step 1: Determine version, Step 2: Ensure clean,…, Step 3: Create release branch and Step 4: Bump version, plus 6 more sections
  • Calls git, gh and cargo; reaches github.com

What it does

Release Datafusion Ducklake is an agent skill from datafusion-contrib/datafusion-ducklake. Prepare and publish a new release of datafusion-ducklake to crates.io

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. It works with Rust, Git and SQL. The repository describes itself as: A Rust-native DuckLake engine built on Apache DataFusion. The licence is Apache-2.0.

When your agent uses it

  • Development work in your project

Example prompts

  • “/release-datafusion-ducklake”

Requirements

  • Pre-approved tools (allowed-tools): Bash(cargo check*), Bash(cargo build*), Bash(git checkout*), Bash(git pull*), Bash(git log*), Bash(git status*), Bash(git add*), Bash(git commit*), Bash(sleep*)

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Determine version
  2. Ensure clean, up-to-date main branch
  3. Create release branch
  4. Bump version
  5. Update CHANGELOG.md
  6. Update README.md if needed
  7. Commit and push
  8. Create PR
  9. Merge PR, tag, and trigger release
  10. Link to pending deployment

What it can do on your machine

Read from SKILL.md and the folder at commit e566655. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(cargo check*)
    • Bash(cargo build*)
    • Bash(git checkout*)
    • Bash(git pull*)
    • Bash(git log*)
    • Bash(git status*)
    • Bash(git add*)
    • Bash(git commit*)
    • Bash(sleep*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • gh
    • cargo

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    Also links to:

    • crates.io
    • docs.rs

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Release Datafusion Ducklake loads about 903 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 435 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~903

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from datafusion-contrib/datafusion-ducklake at commit e566655, republished under its Apache-2.0 licence (© datafusion-contrib). 435 words, ~903 tokens.

Download SKILL.mdSave it as .claude/skills/release-datafusion-ducklake/SKILL.md (or your agent's skills folder).
name
release-datafusion-ducklake
description
Prepare and publish a new release of datafusion-ducklake to crates.io
allowed-tools
Bash(cargo check*), Bash(cargo build*), Bash(git checkout*), Bash(git pull*), Bash(git log*), Bash(git status*), Bash(git add*), Bash(git commit*), Bash(sleep*)
disable-model-invocation
true
argument-hint
[version]

Release datafusion-ducklake

Prepare and publish a new release. The user may provide a version number as $ARGUMENTS.

Step 1: Determine version

  • If a version was provided ($ARGUMENTS), use it. Strip a leading v if present (e.g. v0.0.7 -> 0.0.7).
  • If no version was provided, read the current version from Cargo.toml and suggest the next patch bump. Ask the user to confirm or provide a different version.

Step 2: Ensure clean, up-to-date main branch

  • Confirm we're on main and the working tree is clean (git status).
  • Pull latest: git pull.
  • If the branch is dirty or not on main, warn the user and stop.

Step 3: Create release branch

  • Create and switch to a new branch: git checkout -b release/v{VERSION}

Step 4: Bump version

  • Update version in Cargo.toml (the [package] section, NOT workspace members).
  • Run cargo check to regenerate Cargo.lock with the new version.
  • Verify both Cargo.toml and Cargo.lock reflect the new version.

Step 5: Update CHANGELOG.md

  • Read CHANGELOG.md and the git log since the last tag (git log $(git describe --tags --abbrev=0)..HEAD --oneline).
  • Add a new ## [VERSION] - YYYY-MM-DD section at the top (below the header), categorized as Added/Changed/Fixed per Keep a Changelog format.
  • Add a comparison link at the bottom: [VERSION]: https://github.com/hotdata-dev/datafusion-ducklake/compare/v{PREV}...v{VERSION}
  • Ask the user to review the changelog entries before committing.

Step 6: Update README.md if needed

  • Check if README.md references a version number (e.g. in dependency examples). If so, update to the new version.

Step 7: Commit and push

  • Stage Cargo.toml, Cargo.lock, CHANGELOG.md, and README.md (if changed).
  • IMPORTANT: Both Cargo.toml AND Cargo.lock must be committed. Missing the lock file will break the deploy.
  • Commit with message: chore(release): prepare v{VERSION}
  • Push the branch: git push -u origin release/v{VERSION}
Show full SKILL.md (157 more words)Show less

Step 8: Create PR

  • Create a PR with gh pr create targeting main.
  • Title: chore(release): prepare v{VERSION}
  • Body should note the version bump and link to the changelog.

Step 9: Merge PR, tag, and trigger release

After creating the PR, ask the user if they'd like to wait for CI or merge now.

When the user is ready, merge the PR:

gh pr merge --squash --delete-branch

Then checkout main, pull, tag, and push:

git checkout main && git pull

Verify the merged changes are present (the new version should be in Cargo.toml). If not, stop and warn the user.

git tag v{VERSION} && git push origin v{VERSION}

After pushing the tag, wait a few seconds, then fetch the workflow run triggered by the tag:

gh run list --workflow=release.yml --limit=1 --json databaseId,status,url

Extract the run URL and print it for the user:

Tag v{VERSION} pushed. Release workflow started.

Approve the deployment here: {RUN_URL}

After approval and deployment:

  • Confirm the new version on crates.io
  • Confirm docs update on docs.rs (may take up to a day due to build queue)

© datafusion-contrib, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/release of datafusion-contrib/datafusion-ducklake.

Open the folder on GitHubat commit e566655

Compare with similar skills

Release Datafusion Ducklake next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Release Datafusion Ducklake compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Release Datafusion Ducklake this skilldatafusion-contrib/datafusion-ducklake197—~903Automated safety check: PassApache-2.0
Refactortermide/termide172—~2.8kAutomated safety check: PassMIT
Release Managementtermide/termide172—~6.8kAutomated safety check: PassMIT
Committermide/termide172—~499Automated safety check: NotesMIT
Mz PR ReviewMaterializeInc/materialize6.4k—~1.6kAutomated safety check: NotesCustom licence
Worktrunk Tend CI Guidancemax-sixty/worktrunk9.1k—~6.4kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Release Datafusion Ducklake

What does Release Datafusion Ducklake do?

Prepare and publish a new release of datafusion-ducklake to crates.io. Release Datafusion Ducklake is an agent skill from datafusion-contrib/datafusion-ducklake.

When should I use Release Datafusion Ducklake?

Release Datafusion Ducklake fits situations like: development work in your project.

How do I install Release Datafusion Ducklake in Claude Code?

Run `npx skills add datafusion-contrib/datafusion-ducklake --skill release-datafusion-ducklake -a claude-code`. Or copy the skill folder (.claude/skills/release in datafusion-contrib/datafusion-ducklake) into .claude/skills/release-datafusion-ducklake in your project. Claude Code loads it when a task matches its description.

How do I install Release Datafusion Ducklake in Codex?

Run `npx skills add datafusion-contrib/datafusion-ducklake --skill release-datafusion-ducklake -a codex`. Or copy the skill folder (.claude/skills/release in datafusion-contrib/datafusion-ducklake) into .agents/skills/release-datafusion-ducklake in your project. Codex loads it when a task matches its description.

Can I use Release Datafusion Ducklake in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add datafusion-contrib/datafusion-ducklake --skill release-datafusion-ducklake -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/release-datafusion-ducklake, .gemini/skills/release-datafusion-ducklake, .github/skills/release-datafusion-ducklake and .opencode/skills/release-datafusion-ducklake in your project.

What does Release Datafusion Ducklake need to run?

Going by SKILL.md and its folder, Release Datafusion Ducklake needs the command-line tools its instructions call (git, gh and cargo). Its frontmatter pre-approves these tools: Bash(cargo check*), Bash(cargo build*), Bash(git checkout*), Bash(git pull*), Bash(git log*), Bash(git status*), Bash(git add*), Bash(git commit*), Bash(sleep*).

Does Release Datafusion Ducklake access the network?

SKILL.md names 3 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: crates.io and docs.rs. This is read from the text; nothing was executed.

Is Release Datafusion Ducklake safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Release Datafusion Ducklake use?

Release Datafusion Ducklake is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Release Datafusion Ducklake use?

About 903 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Release Datafusion Ducklake?

Skills that share tags, products or a category with Release Datafusion Ducklake: Refactor (termide/termide, 172 stars), Release Management (termide/termide, 172 stars), Commit (termide/termide, 172 stars) and Mz PR Review (MaterializeInc/materialize, 6.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Release Datafusion Ducklake?

datafusion-contrib (a GitHub organization) maintains it in datafusion-contrib/datafusion-ducklake, which has 197 GitHub stars. The repository was last updated on October 9, 2026.

Source: datafusion-contrib/datafusion-ducklake on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.