Agent skill

Version Bumper

by godatadriven in godatadriven/whirl

Bump the Airflow or Python version across all project files.

Apache-2.0Auto-check passedData & Analytics

Install Version Bumper

skills CLI
$ npx skills add godatadriven/whirl --skill version-bumper -a claude-code

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

GitHub CLI
$ gh skill install godatadriven/whirl version-bumper --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/godatadriven/whirl.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/version-bumper .claude/skills/version-bumper && 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
version-bumper
GitHub stars
205
Token cost
~1.2k tokens
SKILL.md length
441 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
Apache-2.0

At a glance

Bump the Airflow or Python version across all project files.

  • Works in 6 steps: Discover the current version by… → Exclude false positives — skip matches… → Edit each matched file using the Edit… → …
  • The user wants to update AIRFLOWVERSION
  • SKILL.md covers Instructions, File types to search and Steps
  • Calls curl; reaches airflow.apache.org; needs AIRFLOW__CORE__FERNET_KEY and AIRFLOW__API_AUTH__JWT_SECRET

What it does

Version Bumper is an agent skill from godatadriven/whirl. Bump the Airflow or Python version across all project files. Use when the user wants to update AIRFLOWVERSION or PYTHONVERSION.

Its SKILL.md is about 1.2k 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 Data & Analytics, covering Data pipelines and ETL and Containers. It works with Apache Airflow, Python and Docker. The repository describes itself as: Fast iterative local development and testing of Apache Airflow workflows. The licence is Apache-2.0.

When your agent uses it

  • The user wants to update AIRFLOWVERSION
  • Tasks that involve Data pipelines and ETL
  • Tasks that involve Containers

Example prompts

  • “/version-bumper”

Requirements

  • Python 3
  • Docker
  • A credential in AIRFLOW__CORE__FERNET_KEY
  • A credential in AIRFLOW__API_AUTH__JWT_SECRET

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Discover the current version by searching for the literal version pattern across the relevant file types
  2. Exclude false positives — skip matches where the version is a shell variable reference (e.g. ${AIRFLOW_VERSION}) or a minimum-version…
  3. Edit each matched file using the Edit tool, replacing the old version string with the new one. Use replace_all: true for files where the…
  4. Verify by re-running the discovery grep from step 1 and confirming no occurrences of the old version remain
  5. Report which files were changed and the new version value in each.
  6. Check docker-compose changes against the official Airflow release (Airflow version bumps only)

What it can do on your machine

Read from SKILL.md and the folder at commit f085d57. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl

    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:

    • airflow.apache.org

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • AIRFLOW__CORE__FERNET_KEY
    • AIRFLOW__API_AUTH__JWT_SECRET

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

Context cost

Version Bumper loads about 1.2k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 441 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 godatadriven/whirl at commit f085d57, republished under its Apache-2.0 licence (© godatadriven). 441 words, ~1,160 tokens.

Download SKILL.mdSave it as .claude/skills/version-bumper/SKILL.md (or your agent's skills folder).
name
version-bumper
description
Bump the Airflow or Python version across all project files. Use when the user wants to update AIRFLOW_VERSION or PYTHON_VERSION.
argument-hint
[airflow|python] <new-version>
disable-model-invocation
false

Bump a version across all relevant files in the whirl project.

Instructions

The user will specify which version to bump (airflow or python) and the new version number.

If the version type or target version is unclear, ask the user before proceeding.

The version string appears as a hardcoded literal (not a shell variable reference like ${AIRFLOW_VERSION}) in these file types:

  • **/.whirl.env — as AIRFLOW_VERSION=<version> or PYTHON_VERSION=<version>
  • **/Dockerfile and **/Dockerfile.* — as ARG AIRFLOW_VERSION=<version> or ARG PYTHON_VERSION=<version>
  • **/*.yml — as airflow_version: ["<version>"] or in python_version: [...] lists
  • CLAUDE.md — as prose references to the current version

Steps

  1. Discover the current version by searching for the literal version pattern across the relevant file types:

    # For AIRFLOW_VERSION
    grep -rn "AIRFLOW_VERSION=[0-9]" --include="*.env" --include="Dockerfile*" .
    grep -rn "airflow_version:" --include="*.yml" .
    grep -rn "AIRFLOW_VERSION" CLAUDE.md
    
    # For PYTHON_VERSION
    grep -rn "PYTHON_VERSION=[0-9]" --include="*.env" --include="Dockerfile*" .
    grep -rn "python_version:" --include="*.yml" .

    This reveals the current version and every file that needs updating.

  2. Exclude false positives — skip matches where the version is a shell variable reference (e.g. ${AIRFLOW_VERSION}) or a minimum-version guard (MINIMAL_AIRFLOW_VERSION). These must not be changed.

  3. Edit each matched file using the Edit tool, replacing the old version string with the new one. Use replace_all: true for files where the string appears multiple times (e.g. Dockerfiles with two ARG lines, CI workflows with multiple matrix blocks).

  4. Verify by re-running the discovery grep from step 1 and confirming no occurrences of the old version remain:

    grep -rn "<old-version>" --include="*.env" --include="Dockerfile*" --include="*.yml" .
    grep -n "<old-version>" CLAUDE.md
  5. Report which files were changed and the new version value in each.

  6. Check docker-compose changes against the official Airflow release (Airflow version bumps only):

    Fetch the official docker-compose for the new version:

    curl -Lf 'https://airflow.apache.org/docs/apache-airflow/<NEW_VERSION>/docker-compose.yaml'

    Then read each envs/*/docker-compose.yml in this repo and compare the Airflow service definitions (api-server, scheduler, dagprocessor, triggerer) against the official file. Focus on:

    • New or removed environment variables in the x-airflow-common block
    • New or removed volume mounts
    • Changed healthcheck commands or intervals
    • Changed service dependencies (depends_on)
    • Changed ports or commands

    Known intentional differences to ignore — these are whirl-specific and must NOT be "fixed":

    TopicOfficial docker-composeWhirl envs
    Imageapache/airflow:<version>docker-whirl-airflow:py-${PYTHON_VERSION}-local
    Portapi-server on 8080api-server on 5000 (with -p 5000 command arg)
    ExecutorCeleryExecutor with worker + RedisNo executor set (uses LocalExecutor via .whirl.env)
    Env vars (official only)AIRFLOW__CORE__EXECUTOR, AIRFLOW__DATABASE__SQL_ALCHEMY_CONN, AIRFLOW__CELERY__*, AIRFLOW__CORE__FERNET_KEY, AIRFLOW__CORE__DAGS_ARE_PAUSED_AT_CREATION, AIRFLOW__CORE__LOAD_EXAMPLES, AIRFLOW_CONFIG, _PIP_ADDITIONAL_REQUIREMENTSSourced from .whirl.env via env_file
    Env vars (whirl only)—WHIRL_SETUP_FOLDER, AIRFLOW__FAB__AUTH_BACKENDS, AIRFLOW__API_AUTH__JWT_SECRET
    Volume mounts (official only)logs/, config/, plugins/ directoriesNot mounted
    Volume mounts (whirl only)—whirl.setup.d → env.d/ and dag.d/, src/ + setup.py → /opt/airflow/custom/, named build volumes per service
    Init serviceairflow-init for DB migration + user creationHandled by whirl entrypoint scripts
    Restart policyrestart: alwaysNot set
    User"${AIRFLOW_UID:-50000}:0"Not set

    Report any differences that are NOT in the table above — those may indicate new config or behaviour in the Airflow release that should be adopted in the whirl envs.

© godatadriven, 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/version-bumper of godatadriven/whirl.

Open the folder on GitHubat commit f085d57

Compare with similar skills

Version Bumper 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.

Version Bumper compared with similar skills
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Version Bumper this skillgodatadriven/whirl205—~1.2kAutomated safety check: PassApache-2.0
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Managing Astro Local Envastronomer/agents451—~2kAutomated safety check: PassApache-2.0
Upgrading Mwaa Environmentsaws/agent-toolkit-for-aws2.8k—~7.3kAutomated safety check: PassApache-2.0
Veomni ReviewByteDance-Seed/VeOmni2.2k—~1.9kAutomated safety check: PassApache-2.0
Time Series Analytics Useropen-edge-platform/edge-ai-libraries169—~3.1kAutomated safety check: PassApache-2.0

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Questions about Version Bumper

What does Version Bumper do?

Bump the Airflow or Python version across all project files. Version Bumper is an agent skill from godatadriven/whirl. Bump the Airflow or Python version across all project files.

When should I use Version Bumper?

Version Bumper fits situations like: the user wants to update AIRFLOWVERSION; tasks that involve Data pipelines and ETL; tasks that involve Containers.

How do I install Version Bumper in Claude Code?

Run `npx skills add godatadriven/whirl --skill version-bumper -a claude-code`. Or copy the skill folder (.claude/skills/version-bumper in godatadriven/whirl) into .claude/skills/version-bumper in your project. Claude Code loads it when a task matches its description.

How do I install Version Bumper in Codex?

Run `npx skills add godatadriven/whirl --skill version-bumper -a codex`. Or copy the skill folder (.claude/skills/version-bumper in godatadriven/whirl) into .agents/skills/version-bumper in your project. Codex loads it when a task matches its description.

Can I use Version Bumper 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 godatadriven/whirl --skill version-bumper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/version-bumper, .gemini/skills/version-bumper, .github/skills/version-bumper and .opencode/skills/version-bumper in your project.

What does Version Bumper need to run?

Going by SKILL.md and its folder, Version Bumper needs the command-line tools its instructions call (curl) and credentials named AIRFLOW__CORE__FERNET_KEY and AIRFLOW__API_AUTH__JWT_SECRET. Our summary lists: Python 3; Docker; A credential in AIRFLOW__CORE__FERNET_KEY; A credential in AIRFLOW__API_AUTH__JWT_SECRET.

Does Version Bumper access the network?

SKILL.md names 1 domain. In commands or code: airflow.apache.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Version Bumper 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 Version Bumper use?

Version Bumper 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 Version Bumper use?

About 1.2k tokens (SKILL.md is roughly 4.6k 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 Version Bumper?

Skills that share tags, products or a category with Version Bumper: Deploying Go SDK Bundles (astronomer/agents, 451 stars), Managing Astro Local Env (astronomer/agents, 451 stars), Upgrading Mwaa Environments (aws/agent-toolkit-for-aws, 2.8k stars) and Veomni Review (ByteDance-Seed/VeOmni, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Version Bumper?

godatadriven (a GitHub organization) maintains it in godatadriven/whirl, which has 205 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 1, 2026.

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