Agent skill

Pp Airflow Admin

by mvanhorn in mvanhorn/printing-press-library

Printing Press CLI for Airflow Admin. An agent skill from mvanhorn/printing-press-library.

Apache-2.0Auto-check: notesData & Analytics

Install Pp Airflow Admin

skills CLI
$ npx skills add mvanhorn/printing-press-library --skill pp-airflow-admin -a claude-code

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

GitHub CLI
$ gh skill install mvanhorn/printing-press-library pp-airflow-admin --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/mvanhorn/printing-press-library.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-skills/pp-airflow-admin .claude/skills/pp-airflow-admin && 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
pp-airflow-admin
GitHub stars
2.1k
Token cost
~2.8k tokens
SKILL.md length
1,020 words
Files
1
Skills in repo
505
Repo updated
First seen
Licence
Apache-2.0

At a glance

Printing Press CLI for Airflow Admin. An agent skill from mvanhorn/printing-press-library.

  • Works in 3 steps: Install via the Printing Press installer → Verify: airflow-admin-pp-cli --version → Ensure $GOPATH/bin (or $HOME/go/bin) is…
  • Tasks that involve Data pipelines and ETL
  • SKILL.md covers Prerequisites: Install the CLI, Common Airflow Workflows, Command Reference and Auth Setup, plus 8 more sections
  • Calls go, claude and npx

What it does

Pp Airflow Admin is an agent skill from mvanhorn/printing-press-library. Printing Press CLI for Airflow Admin. Focused read-first API surface for inspecting Apache Airflow DAGs, DAG runs, task instances, pools, variables

Its SKILL.md is about 2.8k 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. It works with Apache Airflow. The repository describes itself as: Official library of CLIs generated by the CLI Printing Press. Endorsed, tested, and community-contributed. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Data pipelines and ETL

Example prompts

  • “/pp-airflow-admin”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Read, Bash

Workflow steps

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

  1. Install via the Printing Press installer
  2. Verify: airflow-admin-pp-cli --version
  3. Ensure $GOPATH/bin (or $HOME/go/bin) is on $PATH.

What it can do on your machine

Read from SKILL.md and the folder at commit 0fdcc7a. 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:

    • Read
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • go
    • claude
    • npx

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

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    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

Pp Airflow Admin loads about 2.8k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 1,020 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash

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 mvanhorn/printing-press-library at commit 0fdcc7a, republished under its Apache-2.0 licence (© mvanhorn). 1,020 words, ~2,757 tokens.

Download SKILL.mdSave it as .claude/skills/pp-airflow-admin/SKILL.md (or your agent's skills folder).
name
pp-airflow-admin
description
Printing Press CLI for Airflow Admin. Focused read-first API surface for inspecting Apache Airflow DAGs, DAG runs, task instances, pools, variables
allowed-tools
Read, Bash
author
Dhilip Subramanian
license
Apache-2.0
argument-hint
<command> [args] | install cli|mcp
<!-- GENERATED FILE — DO NOT EDIT.
     This file is a verbatim mirror of library/developer-tools/airflow-admin/SKILL.md,
     regenerated post-merge by tools/generate-skills/. Hand-edits here are
     silently overwritten on the next regen. Edit the library/ source instead.
     See the repository agent guide, section "Generated artifacts: registry.json, cli-skills/". -->

Airflow Admin — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the airflow-admin-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:

  1. Install via the Printing Press installer:
    bash
    npx -y @mvanhorn/printing-press-library install airflow-admin --cli-only
  2. Verify: airflow-admin-pp-cli --version
  3. Ensure $GOPATH/bin (or $HOME/go/bin) is on $PATH.

If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer):

bash
go install github.com/mvanhorn/printing-press-library/library/developer-tools/airflow-admin/cmd/airflow-admin-pp-cli@latest

If --version reports "command not found" after install, the install step did not put the binary on $PATH. Do not proceed with skill commands until verification succeeds.

Apache Airflow is a workflow orchestrator used by data teams to schedule and monitor data pipelines. Data engineers usually model each pipeline as a DAG, then watch DAG runs, task instances, retries, pools, and scheduler health to understand whether daily loads, API extracts, dbt jobs, reports, and other data workflows are running correctly.

Use this skill when a user needs an operational readout from Airflow: list DAGs, inspect failed DAG runs, check task instance status, review pools, verify API health, or sync/search Airflow metadata locally. The CLI is read-first and intended for investigation, triage, and reporting. Avoid implying that it deploys DAGs, edits schedules, clears tasks, or mutates Airflow state.

Common Airflow Workflows

Local Airflow auth

For a local Airflow webserver at http://localhost:8080, get a token and store it:

bash
airflow-admin-pp-cli apache-airflow-admin-auth --username airflow --password airflow --json
airflow-admin-pp-cli auth set-token <access_token>
airflow-admin-pp-cli doctor --json

For a remote Airflow environment, set the base URL first:

bash
export AIRFLOW_ADMIN_BASE_URL="https://airflow.example.com"
export AIRFLOW_ADMIN_BEARER_AUTH="<access_token>"

Never ask the user to paste Airflow credentials into a repository, issue, PR, or shared log.

Pipeline health triage

Start broad, then drill down:

bash
airflow-admin-pp-cli monitor --agent
airflow-admin-pp-cli dags list --agent --select dag_id,is_active,is_paused,last_parsed_time
airflow-admin-pp-cli dags dag-runs list <dag_id> --state failed --agent --select dag_id,dag_run_id,state,start_date,end_date
airflow-admin-pp-cli dags dag-runs list-task-instances <dag_id> <dag_run_id> --state failed --agent --select task_id,state,try_number,start_date,end_date
Local search and analysis

When a user wants repeated investigation without paging the Airflow API each time:

bash
airflow-admin-pp-cli sync --resources dags,pools --agent
airflow-admin-pp-cli search "failed" --data-source local --agent --limit 20
airflow-admin-pp-cli analytics count --type dag-runs --agent

Command Reference

apache-airflow-admin-auth — Manage apache airflow admin auth

  • airflow-admin-pp-cli apache-airflow-admin-auth — Authenticate with an Airflow username and password and return a JWT access token.

apache-airflow-admin-version — Manage apache airflow admin version

  • airflow-admin-pp-cli apache-airflow-admin-version — Get Airflow version

connections — Airflow connection metadata.

  • airflow-admin-pp-cli connections — List connections

dags — DAG inventory and metadata.

  • airflow-admin-pp-cli dags get — Get DAG
  • airflow-admin-pp-cli dags list — List DAGs
  • airflow-admin-pp-cli dags dag-runs list — List DAG runs
  • airflow-admin-pp-cli dags dag-runs get — Get DAG run
  • airflow-admin-pp-cli dags dag-runs list-task-instances — List task instances
  • airflow-admin-pp-cli dags dag-runs get-task-instance — Get task instance
  • airflow-admin-pp-cli dags tasks list — List DAG tasks
  • airflow-admin-pp-cli dags details — Get detailed DAG metadata

monitor — Manage monitor

  • airflow-admin-pp-cli monitor — Get health

pools — Airflow pool capacity and occupancy.

  • airflow-admin-pp-cli pools get — Get pool
  • airflow-admin-pp-cli pools list — List pools

variables — Airflow variable metadata.

  • airflow-admin-pp-cli variables — List variables
Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

bash
airflow-admin-pp-cli which "<capability in your own words>"

which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query.

Auth Setup

Airflow JWT tokens can be created through the API token endpoint when the Airflow environment allows username/password auth:

bash
airflow-admin-pp-cli apache-airflow-admin-auth --username <username> --password <password> --json

Store the returned access_token:

bash
airflow-admin-pp-cli auth set-token YOUR_TOKEN_HERE

Or set AIRFLOW_ADMIN_BEARER_AUTH as an environment variable. Set AIRFLOW_ADMIN_BASE_URL when the Airflow webserver is not http://localhost:8080.

Run airflow-admin-pp-cli doctor to verify setup.

Agent Mode

Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.

  • Pipeable — JSON on stdout, errors on stderr

  • Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:

    bash
    airflow-admin-pp-cli apache-airflow-admin-version --agent --select id,name,status
  • Previewable — --dry-run shows the request without sending

  • Offline-friendly — sync/search commands can use the local SQLite store when available

  • Non-interactive — never prompts, every input is a flag

  • Explicit retries — use --idempotent only when an already-existing create should count as success

Show full SKILL.md (430 more words)Show less
Response envelope

Commands that read from the local store or the API wrap output in a provenance envelope:

json
{
  "meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
  "results": <data>
}

Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

airflow-admin-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
airflow-admin-pp-cli feedback --stdin < notes.txt
airflow-admin-pp-cli feedback list --json --limit 10

Entries are stored locally at ~/.local/share/airflow-admin-pp-cli/feedback.jsonl. They are never POSTed unless AIRFLOW_ADMIN_FEEDBACK_ENDPOINT is set AND either --send is passed or AIRFLOW_ADMIN_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.

Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.

Output Delivery

Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:

SinkEffect
stdoutDefault; write to stdout only
file:<path>Atomically write output to <path> (tmp + rename)
webhook:<url>POST the output body to the URL (application/json or application/x-ndjson when --compact)

Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.

Named Profiles

A profile is a saved set of flag values, reused across invocations. Use it when a scheduled agent calls the same command every run with the same configuration - HeyGen's "Beacon" pattern.

airflow-admin-pp-cli profile save briefing --json
airflow-admin-pp-cli --profile briefing apache-airflow-admin-version
airflow-admin-pp-cli profile list --json
airflow-admin-pp-cli profile show briefing
airflow-admin-pp-cli profile delete briefing --yes

Explicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.

Exit Codes

CodeMeaning
0Success
2Usage error (wrong arguments)
3Resource not found
4Authentication required
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show airflow-admin-pp-cli --help output
  2. Starts with install → ends with mcp → MCP installation; otherwise → see Prerequisites above
  3. Anything else → Direct Use (execute as CLI command with --agent)

MCP Server Installation

  1. Install the MCP server:
    bash
    go install github.com/mvanhorn/printing-press-library/library/developer-tools/airflow-admin/cmd/airflow-admin-pp-mcp@latest
  2. Register with Claude Code:
    bash
    claude mcp add airflow-admin-pp-mcp -- airflow-admin-pp-mcp
  3. Verify: claude mcp list

Direct Use

  1. Check if installed: which airflow-admin-pp-cli If not found, offer to install (see Prerequisites at the top of this skill).
  2. Match the user query to the best command from the Unique Capabilities and Command Reference above.
  3. Execute with the --agent flag:
    bash
    airflow-admin-pp-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: airflow-admin-pp-cli <command> --help.

© mvanhorn, 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 cli-skills/pp-airflow-admin of mvanhorn/printing-press-library.

Open the folder on GitHubat commit 0fdcc7a

Compare with similar skills

Pp Airflow Admin 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.

Pp Airflow Admin compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pp Airflow Admin this skillmvanhorn/printing-press-library2.1k—~2.8kAutomated safety check: NotesApache-2.0
Chart Testsastronomer/airflow-chart297—~2.8kAutomated safety check: PassCustom licence
Airflowastronomer/agents4511 repos~3.8kAutomated safety check: PassApache-2.0
Migrating Dagster To Airflowastronomer/agents451—~3.8kAutomated safety check: PassApache-2.0
Authoring Dagsastronomer/agents4511 repos~1.8kAutomated safety check: PassApache-2.0
Functional Testsastronomer/airflow-chart297—~2.2kAutomated safety check: PassCustom licence

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Works with

Questions about Pp Airflow Admin

What does Pp Airflow Admin do?

Printing Press CLI for Airflow Admin. An agent skill from mvanhorn/printing-press-library. Pp Airflow Admin is an agent skill from mvanhorn/printing-press-library. Printing Press CLI for Airflow Admin.

When should I use Pp Airflow Admin?

Pp Airflow Admin fits situations like: tasks that involve Data pipelines and ETL.

How do I install Pp Airflow Admin in Claude Code?

Run `npx skills add mvanhorn/printing-press-library --skill pp-airflow-admin -a claude-code`. Or copy the skill folder (cli-skills/pp-airflow-admin in mvanhorn/printing-press-library) into .claude/skills/pp-airflow-admin in your project. Claude Code loads it when a task matches its description.

How do I install Pp Airflow Admin in Codex?

Run `npx skills add mvanhorn/printing-press-library --skill pp-airflow-admin -a codex`. Or copy the skill folder (cli-skills/pp-airflow-admin in mvanhorn/printing-press-library) into .agents/skills/pp-airflow-admin in your project. Codex loads it when a task matches its description.

Can I use Pp Airflow Admin 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 mvanhorn/printing-press-library --skill pp-airflow-admin -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pp-airflow-admin, .gemini/skills/pp-airflow-admin, .github/skills/pp-airflow-admin and .opencode/skills/pp-airflow-admin in your project.

What does Pp Airflow Admin need to run?

Going by SKILL.md and its folder, Pp Airflow Admin needs the command-line tools its instructions call (go, claude and npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.

Does Pp Airflow Admin access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pp Airflow Admin safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Pp Airflow Admin use?

Pp Airflow Admin is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pp Airflow Admin use?

About 2.8k tokens (SKILL.md is roughly 11k 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 Pp Airflow Admin?

Skills that share tags, products or a category with Pp Airflow Admin: 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 Pp Airflow Admin?

mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,053 GitHub stars. The repository holds 505 skills in this directory. The repository was last updated on October 7, 2026.

Source: mvanhorn/printing-press-library on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.