Official agent skill

Discovering Connectors

by airbytehq in airbytehq/airbyte-agent-sdk

Discovers available Airbyte connectors, explores their entities/actions/schemas, and checks auth requirements.

OfficialCustom licenceAuto-check passedAI & LLM Engineering

Install Discovering Connectors

skills CLI
$ npx skills add airbytehq/airbyte-agent-sdk --skill discovering-connectors -a claude-code

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

GitHub CLI
$ gh skill install airbytehq/airbyte-agent-sdk discovering-connectors --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/airbytehq/airbyte-agent-sdk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/discovering-connectors .claude/skills/discovering-connectors && 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
discovering-connectors
GitHub stars
135
Token cost
~582 tokens
SKILL.md length
126 words
Files
2
Skills in repo
4
Repo updated
First seen
Licence
Custom licence

At a glance

Discovers available Airbyte connectors, explores their entities/actions/schemas, and checks auth requirements.

  • Asking what connectors exist
  • SKILL.md covers Programmatic Discovery, Exploring a Connector's…, Runtime Introspection and Auth Requirements, plus 1 more section
  • Calls uv; needs AIRBYTE_CLIENT_SECRET
  • What a connector can do

What it does

Discovering Connectors is an agent skill from airbytehq/airbyte-agent-sdk, published by the product's own GitHub organization. Discovers available Airbyte connectors, explores their entities/actions/schemas, and checks auth requirements. Use when asking what connectors exist, what a connector can do, or what fields/entities are available.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in AI & LLM Engineering. It works with Airbyte. The repository describes itself as: 🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.

When your agent uses it

  • Asking what connectors exist
  • What a connector can do
  • What fields/entities are available

Example prompts

  • “Use the discovering-connectors skill to discover available Airbyte connectors, explores their entities/actions/schemas, and checks auth requirements”
  • “/discovering-connectors”

Requirements

  • Python 3
  • A credential in AIRBYTE_CLIENT_SECRET

What it can do on your machine

Read from SKILL.md and the folder at commit ae1a33c. 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:

    • uv

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

  • Network

    No URLs in SKILL.md. Its commands use uv, 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 these keys or tokens, usually read from environment variables:

    • AIRBYTE_CLIENT_SECRET

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

Context cost

Discovering Connectors loads about 582 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 126 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~582

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 126 words (~582 tokens).

“Each connector has documentation at: https://github.com/airbytehq/airbyte-agent-sdk/tree/main/connectors/{name}”

— opening of SKILL.md by airbytehq, Custom licence
name
discovering-connectors

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in .codex/skills/discovering-connectors of airbytehq/airbyte-agent-sdk.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit ae1a33c

Compare with similar skills

Discovering Connectors 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.

Discovering Connectors compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Discovering Connectors this skillairbytehq/airbyte-agent-sdk135—~582Automated safety check: PassCustom licence
Bootstrapping AgentKilo-Org/kilo-marketplace190—~1kAutomated safety check: NotesCustom licence
Agent BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT

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    Auto-check passed

Works with

Questions about Discovering Connectors

What does Discovering Connectors do?

Discovers available Airbyte connectors, explores their entities/actions/schemas, and checks auth requirements. Discovering Connectors is an agent skill from airbytehq/airbyte-agent-sdk, published by the product's own GitHub organization. Discovers available Airbyte connectors, explores their entities/actions/schemas, and checks auth requirements.

When should I use Discovering Connectors?

Discovering Connectors fits situations like: asking what connectors exist; what a connector can do; what fields/entities are available.

How do I install Discovering Connectors in Claude Code?

Run `npx skills add airbytehq/airbyte-agent-sdk --skill discovering-connectors -a claude-code`. Or copy the skill folder (.codex/skills/discovering-connectors in airbytehq/airbyte-agent-sdk) into .claude/skills/discovering-connectors in your project. Claude Code loads it when a task matches its description.

How do I install Discovering Connectors in Codex?

Run `npx skills add airbytehq/airbyte-agent-sdk --skill discovering-connectors -a codex`. Or copy the skill folder (.codex/skills/discovering-connectors in airbytehq/airbyte-agent-sdk) into .agents/skills/discovering-connectors in your project. Codex loads it when a task matches its description.

Can I use Discovering Connectors 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 airbytehq/airbyte-agent-sdk --skill discovering-connectors -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/discovering-connectors, .gemini/skills/discovering-connectors, .github/skills/discovering-connectors and .opencode/skills/discovering-connectors in your project.

What does Discovering Connectors need to run?

Going by SKILL.md and its folder, Discovering Connectors needs the command-line tools its instructions call (uv) and credentials named AIRBYTE_CLIENT_SECRET. Our summary lists: Python 3; A credential in AIRBYTE_CLIENT_SECRET.

Does Discovering Connectors access the network?

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

Is Discovering Connectors 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 Discovering Connectors use?

Discovering Connectors has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Discovering Connectors use?

About 582 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 Discovering Connectors?

Skills that share tags, products or a category with Discovering Connectors: Bootstrapping Agent (Kilo-Org/kilo-marketplace, 190 stars), Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars) and LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Discovering Connectors?

airbytehq (a GitHub organization, an official publisher) maintains it in airbytehq/airbyte-agent-sdk, which has 135 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 8, 2026.

Source: airbytehq/airbyte-agent-sdk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.