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Pp Airbyte Admin

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mvanhorn
pp-airbyte-admin

Printing Press CLI for Airbyte Admin. Inspect Airbyte workspaces, sources, destinations, connections, jobs, connector definitions, users, organizations, permissions, and tags.

Overview

Publishermvanhorn
Repositoryprinting-press-library
Skill namepp-airbyte-admin
Stars
2K
Forks
614
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mvanhorn on GitHub. Read the source before you install it.

Installation

Install the Pp Airbyte Admin AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git /tmp/printing-press-library
mkdir -p .claude/skills
cp -r /tmp/printing-press-library/cli-skills/pp-airbyte-admin .claude/skills/pp-airbyte-admin
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pp Airbyte Admin in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pp Airbyte Admin on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pp Airbyte Admin is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Airbyte Admin — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the airbyte-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 airbyte-admin --cli-only
  2. Verify: airbyte-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/cloud/airbyte-admin/cmd/airbyte-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.

Airbyte is a data integration platform used by data teams to move data from sources into warehouses, lakes, and operational destinations. This CLI exposes Airbyte's official Public API as a read-only terminal and MCP surface for inspecting pipeline inventory, sync jobs, connector metadata, workspaces, users, organizations, permissions, and tags.

Use it when an engineer or agent needs to answer operational questions such as "which sources and destinations are configured?", "what does this connection look like?", "which jobs are failing or running?", or "what workspaces and permissions can this account see?"

When Not to Use This CLI

Do not activate this CLI for requests that require creating, updating, deleting, publishing, commenting, upvoting, inviting, ordering, sending messages, booking, purchasing, or changing remote state. This printed CLI exposes read-only commands for inspection, export, sync, and analysis.

Unique Capabilities

These capabilities aren't available in any other tool for this API.

  • public list-sources — Lists Airbyte sources, with sibling destination and connection-detail commands for inspecting configured data movement.
  • public list-jobs — Lists sync jobs with connection filters and pagination for troubleshooting recent ELT activity.
  • public list-connector-definitions — Shows available source or destination connector definitions for a workspace or organization.
  • public list-workspaces — Surfaces workspaces, users, organizations, permissions, and tags for Airbyte operational review.
  • sync — Caches Airbyte read endpoints locally for offline search, export, and repeatable agent analysis.

Command Reference

public — Manage public

  • airbyte-admin-pp-cli public get-application — Get an Application detail
  • airbyte-admin-pp-cli public get-connection — Get Connection details
  • airbyte-admin-pp-cli public get-destination — Get Destination details
  • airbyte-admin-pp-cli public get-documentation — Root path, currently returns a redirect to the documentation
  • airbyte-admin-pp-cli public get-health-check — Health Check
  • airbyte-admin-pp-cli public get-job — Get Job status and details
  • airbyte-admin-pp-cli public get-source — Get Source details
  • airbyte-admin-pp-cli public get-stream-properties — Get stream properties
  • airbyte-admin-pp-cli public list-applications — List Applications
  • airbyte-admin-pp-cli public list-connector-definitions — List connector definitions
  • airbyte-admin-pp-cli public list-destinations — List destinations
  • airbyte-admin-pp-cli public list-jobs — List Jobs
  • airbyte-admin-pp-cli public list-organizations-for-user — List all organizations for a user
  • airbyte-admin-pp-cli public list-permissions — List permissions
  • airbyte-admin-pp-cli public list-sources — List sources
  • airbyte-admin-pp-cli public list-tags — Lists all tags
  • airbyte-admin-pp-cli public list-users — Organization Admin user can list all users within the same organization.
  • airbyte-admin-pp-cli public list-workspaces — List workspaces
  • airbyte-admin-pp-cli public oauth-callback — Redirected to by identity providers after authentication.

Finding the right command

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

bash
airbyte-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

The health endpoint is public, but most Airbyte Cloud and self-managed Public API commands require an Authorization header. Do not store credentials in GitHub or in prompts.

Preferred environment variables:

bash
export AIRBYTE_ADMIN_BASE_URL="https://cloud.airbyte.com/api"
export AIRBYTE_ADMIN_TOKEN="<airbyte-token>"

For local self-managed Airbyte or deployments that need a complete header:

bash
export AIRBYTE_ADMIN_BASE_URL="http://localhost:8000/api"
export AIRBYTE_ADMIN_AUTH_HEADER="Basic <base64-user-pass>"

AIRBYTE_ADMIN_TOKEN is converted to Bearer <token> unless it already starts with Bearer . AIRBYTE_ADMIN_AUTH_HEADER wins when both are set.

Run airbyte-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
    airbyte-admin-pp-cli public list-sources --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

  • Read-only — do not use this CLI for create, update, delete, publish, comment, upvote, invite, order, send, or other mutating requests

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:

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

Entries are stored locally at ~/.local/share/airbyte-admin-pp-cli/feedback.jsonl. They are never POSTed unless AIRBYTE_ADMIN_FEEDBACK_ENDPOINT is set AND either --send is passed or AIRBYTE_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.

airbyte-admin-pp-cli profile save briefing --json
airbyte-admin-pp-cli --profile briefing public list-sources
airbyte-admin-pp-cli profile list --json
airbyte-admin-pp-cli profile show briefing
airbyte-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
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show airbyte-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/cloud/airbyte-admin/cmd/airbyte-admin-pp-mcp@latest
  2. Register with Claude Code:
    bash
    claude mcp add airbyte-admin-pp-mcp -- airbyte-admin-pp-mcp
  3. Verify: claude mcp list

Direct Use

  1. Check if installed: which airbyte-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
    airbyte-admin-pp-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: airbyte-admin-pp-cli <command> --help.

Frequently asked questions

What does the Pp Airbyte Admin AI skill do?

Printing Press CLI for Airbyte Admin. Inspect Airbyte workspaces, sources, destinations, connections, jobs, connector definitions, users, organizations, permissions, and tags.

Why use Pp Airbyte Admin on TypingMind?

Because you install it once and use it with any model. Pp Airbyte Admin is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pp Airbyte Admin in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-airbyte-admin. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pp Airbyte Admin?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pp Airbyte Admin?

As many as you like. As long as a model supports skills, you can use Pp Airbyte Admin with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pp Airbyte Admin AI skill free?

Yes. It is published on GitHub by mvanhorn under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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