Chart Tests
astronomer/airflow-chart
A skill your agent uses when writing, editing, reviewing, or running Helm chart tests for the Astronomer airflow-chart repository.
Generate airflow dag generator operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Install Airflow Dag Generator
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill airflow-dag-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace airflow-dag-generator --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/11-data-pipelines/airflow-dag-generator .claude/skills/airflow-dag-generator && 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 "airflow-dag-generator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/airflow-dag-generator into .claude/skills/airflow-dag-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airflow-dag-generator", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/airflow-dag-generatorType 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 jeremylongshore/tons-of-skills-marketplace --skill airflow-dag-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace airflow-dag-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/11-data-pipelines/airflow-dag-generator .agents/skills/airflow-dag-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "airflow-dag-generator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/airflow-dag-generator into .agents/skills/airflow-dag-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airflow-dag-generator", 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 jeremylongshore/tons-of-skills-marketplace --skill airflow-dag-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace airflow-dag-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/11-data-pipelines/airflow-dag-generator .cursor/skills/airflow-dag-generator && 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 "airflow-dag-generator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/airflow-dag-generator into .cursor/skills/airflow-dag-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airflow-dag-generator", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/11-data-pipelines/airflow-dag-generator--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 jeremylongshore/tons-of-skills-marketplace --skill airflow-dag-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace airflow-dag-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/11-data-pipelines/airflow-dag-generator .gemini/skills/airflow-dag-generator && 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 "airflow-dag-generator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/airflow-dag-generator into .gemini/skills/airflow-dag-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airflow-dag-generator", 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 jeremylongshore/tons-of-skills-marketplace airflow-dag-generatorInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill airflow-dag-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/11-data-pipelines/airflow-dag-generator .github/skills/airflow-dag-generator && 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 "airflow-dag-generator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/airflow-dag-generator into .github/skills/airflow-dag-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airflow-dag-generator", 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 jeremylongshore/tons-of-skills-marketplace --skill airflow-dag-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace airflow-dag-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/11-data-pipelines/airflow-dag-generator .opencode/skills/airflow-dag-generator && 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 "airflow-dag-generator" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/11-data-pipelines/airflow-dag-generator into .opencode/skills/airflow-dag-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "airflow-dag-generator", 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.
Facts
- Skill name
airflow-dag-generator- GitHub stars
- 2.8k
- Token cost
- ~571 tokens
- SKILL.md length
- 196 words
- Files
- 1
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate airflow dag generator operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
- Works in 4 steps: Provides step-by-step guidance for… → Follows industry best practices and… → Generates production-ready code and… → …
- : airflow dag generator
- SKILL.md covers Overview, When to Use, Instructions and Examples, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Airflow Dag Generator is an agent skill from jeremylongshore/tons-of-skills-marketplace. Generate airflow dag generator operations. Auto-activating skill for Data Pipelines. Triggers on: airflow dag generator, airflow dag generator Part of the Data Pipelines skill category. Use when working with airflow dag generator functionality. Trigger with phrases like "airflow dag generator", "airflow generator", "airflow".
Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code
It sits in Data & Analytics, covering Data pipelines and ETL. It works with Apache Airflow. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- : airflow dag generator
- Airflow dag generator Part of the Data Pipelines skill category
- Working with airflow dag generator functionality
- With phrases like airflow dag generator
Example prompts
- “airflow dag generator”
- “airflow generator”
- “airflow”
- “/airflow-dag-generator”
Requirements
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(cmd:*), Grep
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Provides step-by-step guidance for airflow dag generator
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. 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:
ReadWriteEditBash(cmd:*)Grep
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Airflow Dag Generator loads about 571 tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 196 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.
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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 196 words, ~571 tokens.
Download SKILL.mdSave it as
.claude/skills/airflow-dag-generator/SKILL.md (or your agent's skills folder).- name
- airflow-dag-generator
- description
- Generate airflow dag generator operations. Auto-activating skill for Data Pipelines. Triggers on: airflow dag generator, airflow dag generator Part of the Data Pipelines skill category. Use when working with airflow dag generator functionality. Trigger with phrases like "airflow dag generator", "airflow generator", "airflow".
- allowed-tools
- Read, Write, Edit, Bash(cmd:*), Grep
- compatibility
- Designed for Claude Code
- version
- 1.0.0
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- data, data-engineering
Airflow Dag Generator
Overview
This skill provides automated assistance for airflow dag generator tasks within the Data Pipelines domain.
When to Use
This skill activates automatically when you:
- Mention "airflow dag generator" in your request
- Ask about airflow dag generator patterns or best practices
- Need help with data pipeline skills covering etl, data transformation, workflow orchestration, and streaming data processing.
Instructions
- Provides step-by-step guidance for airflow dag generator
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with airflow dag generator" Result: Provides step-by-step guidance and generates appropriate configurations
Prerequisites
- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of data pipelines concepts
Output
- Generated configurations and code
- Best practice recommendations
- Validation results
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Resources
- Official documentation for related tools
- Best practices guides
- Community examples and tutorials
Related Skills
Part of the Data Pipelines skill category. Tags: etl, airflow, spark, streaming, data-engineering
© jeremylongshore, MIT. 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 skills/11-data-pipelines/airflow-dag-generator of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Compare with similar skills
Airflow Dag Generator 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 |
|---|---|---|---|---|---|---|
| Airflow Dag Generator this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~571 | Automated safety check: Pass | MIT | |
| Chart Testsastronomer/airflow-chart | 297 | — | ~2.8k | Automated safety check: Pass | Custom licence | |
| Airflowastronomer/agents | 451 | 1 repos | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Migrating Dagster To Airflowastronomer/agents | 451 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Authoring Dagsastronomer/agents | 451 | 1 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Functional Testsastronomer/airflow-chart | 297 | — | ~2.2k | Automated safety check: Pass | Custom licence |
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Related
Works with
Categories
Questions about Airflow Dag Generator
What does Airflow Dag Generator do?
Generate airflow dag generator operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Airflow Dag Generator is an agent skill from jeremylongshore/tons-of-skills-marketplace. Generate airflow dag generator operations.
When should I use Airflow Dag Generator?
Airflow Dag Generator fits situations like: : airflow dag generator; airflow dag generator Part of the Data Pipelines skill category; working with airflow dag generator functionality; with phrases like airflow dag generator.
How do I install Airflow Dag Generator in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill airflow-dag-generator -a claude-code`. Or copy the skill folder (skills/11-data-pipelines/airflow-dag-generator in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/airflow-dag-generator in your project. Claude Code loads it when a task matches its description.
How do I install Airflow Dag Generator in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill airflow-dag-generator -a codex`. Or copy the skill folder (skills/11-data-pipelines/airflow-dag-generator in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/airflow-dag-generator in your project. Codex loads it when a task matches its description.
Can I use Airflow Dag Generator 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 jeremylongshore/tons-of-skills-marketplace --skill airflow-dag-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/airflow-dag-generator, .gemini/skills/airflow-dag-generator, .github/skills/airflow-dag-generator and .opencode/skills/airflow-dag-generator in your project.
What does Airflow Dag Generator need to run?
SKILL.md names no scripts, command-line tools or credentials: Airflow Dag Generator is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(cmd:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
Does Airflow Dag Generator access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Airflow Dag Generator 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 Airflow Dag Generator use?
Airflow Dag Generator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Airflow Dag Generator use?
About 571 tokens (SKILL.md is roughly 2.3k 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 Airflow Dag Generator?
Skills that share tags, products or a category with Airflow Dag Generator: Chart Tests (astronomer/airflow-chart, 297 stars), Airflow (astronomer/agents, 451 stars), Migrating Dagster To Airflow (astronomer/agents, 451 stars) and Authoring Dags (astronomer/agents, 451 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Airflow Dag Generator?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.