Deploying Go SDK Bundles
astronomer/agents
Builds, packs, and deploys compiled Airflow Go SDK bundles so the ExecutableCoordinator can run them.
Bump the Airflow or Python version across all project files.
$ npx skills add godatadriven/whirl --skill version-bumper -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install godatadriven/whirl version-bumper --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "version-bumper" agent skill from https://github.com/godatadriven/whirl/tree/master/.claude/skills/version-bumper into .claude/skills/version-bumper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "version-bumper", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/godatadriven/whirl/tree/master/.claude/skills/version-bumperType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add godatadriven/whirl --skill version-bumper -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install godatadriven/whirl version-bumper --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/godatadriven/whirl.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/version-bumper .agents/skills/version-bumper && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "version-bumper" agent skill from https://github.com/godatadriven/whirl/tree/master/.claude/skills/version-bumper into .agents/skills/version-bumper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "version-bumper", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add godatadriven/whirl --skill version-bumper -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install godatadriven/whirl version-bumper --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/godatadriven/whirl.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/version-bumper .cursor/skills/version-bumper && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "version-bumper" agent skill from https://github.com/godatadriven/whirl/tree/master/.claude/skills/version-bumper into .cursor/skills/version-bumper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "version-bumper", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/godatadriven/whirl.git --path .claude/skills/version-bumper--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add godatadriven/whirl --skill version-bumper -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install godatadriven/whirl version-bumper --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/godatadriven/whirl.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/version-bumper .gemini/skills/version-bumper && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "version-bumper" agent skill from https://github.com/godatadriven/whirl/tree/master/.claude/skills/version-bumper into .gemini/skills/version-bumper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "version-bumper", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install godatadriven/whirl version-bumperInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add godatadriven/whirl --skill version-bumper -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/godatadriven/whirl.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/version-bumper .github/skills/version-bumper && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "version-bumper" agent skill from https://github.com/godatadriven/whirl/tree/master/.claude/skills/version-bumper into .github/skills/version-bumper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "version-bumper", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add godatadriven/whirl --skill version-bumper -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install godatadriven/whirl version-bumper --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/godatadriven/whirl.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/version-bumper .opencode/skills/version-bumper && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "version-bumper" agent skill from https://github.com/godatadriven/whirl/tree/master/.claude/skills/version-bumper into .opencode/skills/version-bumper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "version-bumper", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
version-bumperBump 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. 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.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f085d57. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
curlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
airflow.apache.orgFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AIRFLOW__CORE__FERNET_KEYAIRFLOW__API_AUTH__JWT_SECRETFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from godatadriven/whirl at commit f085d57, republished under its Apache-2.0 licence (© godatadriven). 441 words, ~1,160 tokens.
.claude/skills/version-bumper/SKILL.md (or your agent's skills folder).Bump a version across all relevant files in the whirl project.
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: [...] listsCLAUDE.md — as prose references to the current versionDiscover 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.
Exclude false positives — skip matches where the version is a shell variable reference (e.g. ${AIRFLOW_VERSION}) or a minimum-version guard (MINIMAL_AIRFLOW_VERSION). These must not be changed.
Edit each matched file using the Edit tool, replacing the old version string with the new one. Use replace_all: true for files where the string appears multiple times (e.g. Dockerfiles with two ARG lines, CI workflows with multiple matrix blocks).
Verify by re-running the discovery grep from step 1 and confirming no occurrences of the old version remain:
grep -rn "<old-version>" --include="*.env" --include="Dockerfile*" --include="*.yml" .
grep -n "<old-version>" CLAUDE.mdReport which files were changed and the new version value in each.
Check docker-compose changes against the official Airflow release (Airflow version bumps only):
Fetch the official docker-compose for the new version:
curl -Lf 'https://airflow.apache.org/docs/apache-airflow/<NEW_VERSION>/docker-compose.yaml'Then read each envs/*/docker-compose.yml in this repo and compare the Airflow service definitions (api-server, scheduler, dagprocessor, triggerer) against the official file. Focus on:
x-airflow-common blockdepends_on)Known intentional differences to ignore — these are whirl-specific and must NOT be "fixed":
| Topic | Official docker-compose | Whirl envs |
|---|---|---|
| Image | apache/airflow:<version> | docker-whirl-airflow:py-${PYTHON_VERSION}-local |
| Port | api-server on 8080 | api-server on 5000 (with -p 5000 command arg) |
| Executor | CeleryExecutor with worker + Redis | No 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_REQUIREMENTS | Sourced 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/ directories | Not 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 service | airflow-init for DB migration + user creation | Handled by whirl entrypoint scripts |
| Restart policy | restart: always | Not 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
Just SKILL.md in .claude/skills/version-bumper of godatadriven/whirl.
Open the folder on GitHubat commit f085d57
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Version Bumper this skillgodatadriven/whirl | 205 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Deploying Go SDK Bundlesastronomer/agents | 451 | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Managing Astro Local Envastronomer/agents | 451 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Upgrading Mwaa Environmentsaws/agent-toolkit-for-aws | 2.8k | — | ~7.3k | Automated safety check: Pass | Apache-2.0 | |
| Veomni ReviewByteDance-Seed/VeOmni | 2.2k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Time Series Analytics Useropen-edge-platform/edge-ai-libraries | 169 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 |
astronomer/agents
Builds, packs, and deploys compiled Airflow Go SDK bundles so the ExecutableCoordinator can run them.
astronomer/agents
Manage local Airflow environment with Astro CLI (Docker and standalone modes).
aws/agent-toolkit-for-aws
Upgrades an MWAA environment to a newer Airflow version — within 2.x, within 3.x, or across the 2.x-to-3.x boundary.
ByteDance-Seed/VeOmni
Pre-PR code review gate. An agent skill from ByteDance-Seed/VeOmni.
open-edge-platform/edge-ai-libraries
Build a new time-series analytics use case on top of the deployed Time Series Analytics microservice — bring it up with Docker Compose (from a repo clone, or by fetching the compose files from…
astronomer/agents
Deploys Airflow DAGs and projects. An agent skill from astronomer/agents.
godatadriven/whirl
Before committing, work out which Whirl examples need a CI run to verify changes still work, then run them after confirming with the user.
godatadriven/whirl
Create a new Whirl environment in the envs/ directory. An agent skill from godatadriven/whirl.
godatadriven/whirl
Create a new Whirl example project in the examples/ directory.
Works with
Categories
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.
Version Bumper fits situations like: the user wants to update AIRFLOWVERSION; tasks that involve Data pipelines and ETL; tasks that involve Containers.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.