Bootstrapping Agent
Kilo-Org/kilo-marketplace
Wires up an Airbyte connector for use in a PydanticAI or Claude SDK agent.
Discovers available Airbyte connectors, explores their entities/actions/schemas, and checks auth requirements.
$ npx skills add airbytehq/airbyte-agent-sdk --skill discovering-connectors -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install airbytehq/airbyte-agent-sdk discovering-connectors --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/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-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 "discovering-connectors" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/discovering-connectors into .claude/skills/discovering-connectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovering-connectors", 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/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/discovering-connectorsType 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 airbytehq/airbyte-agent-sdk --skill discovering-connectors -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install airbytehq/airbyte-agent-sdk discovering-connectors --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/airbytehq/airbyte-agent-sdk.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/discovering-connectors .agents/skills/discovering-connectors && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "discovering-connectors" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/discovering-connectors into .agents/skills/discovering-connectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovering-connectors", 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 airbytehq/airbyte-agent-sdk --skill discovering-connectors -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install airbytehq/airbyte-agent-sdk discovering-connectors --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/airbytehq/airbyte-agent-sdk.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/discovering-connectors .cursor/skills/discovering-connectors && 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 "discovering-connectors" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/discovering-connectors into .cursor/skills/discovering-connectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovering-connectors", 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/airbytehq/airbyte-agent-sdk.git --path .codex/skills/discovering-connectors--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 airbytehq/airbyte-agent-sdk --skill discovering-connectors -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install airbytehq/airbyte-agent-sdk discovering-connectors --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/airbytehq/airbyte-agent-sdk.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/discovering-connectors .gemini/skills/discovering-connectors && 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 "discovering-connectors" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/discovering-connectors into .gemini/skills/discovering-connectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovering-connectors", 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 airbytehq/airbyte-agent-sdk discovering-connectorsInstalls 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 airbytehq/airbyte-agent-sdk --skill discovering-connectors -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/airbytehq/airbyte-agent-sdk.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/discovering-connectors .github/skills/discovering-connectors && 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 "discovering-connectors" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/discovering-connectors into .github/skills/discovering-connectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovering-connectors", 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 airbytehq/airbyte-agent-sdk --skill discovering-connectors -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install airbytehq/airbyte-agent-sdk discovering-connectors --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/airbytehq/airbyte-agent-sdk.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/discovering-connectors .opencode/skills/discovering-connectors && 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 "discovering-connectors" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/discovering-connectors into .opencode/skills/discovering-connectors/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "discovering-connectors", 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.
discovering-connectorsDiscovers 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. 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.
Read from SKILL.md and the folder at commit ae1a33c. 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:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names these keys or tokens, usually read from environment variables:
AIRBYTE_CLIENT_SECRETFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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}”
SKILL.md and 1 other file in .codex/skills/discovering-connectors of airbytehq/airbyte-agent-sdk.
Open the folder on GitHubat commit ae1a33c
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Discovering Connectors this skillairbytehq/airbyte-agent-sdk | 135 | — | ~582 | Automated safety check: Pass | Custom licence | |
| Bootstrapping AgentKilo-Org/kilo-marketplace | 190 | — | ~1k | Automated safety check: Notes | Custom licence | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT |
Kilo-Org/kilo-marketplace
Wires up an Airbyte connector for use in a PydanticAI or Claude SDK agent.
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
airbytehq/airbyte-agent-sdk
Wires up an Airbyte connector for use in a PydanticAI, Claude SDK, or other agent.
airbytehq/airbyte-agent-sdk
Builds a complete agent with multiple Airbyte connectors using PydanticAI or Claude SDK.
airbytehq/airbyte-agent-sdk
Reference documentation for the Airbyte per-connector typed SDK packages
Works with
Categories
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.
Discovering Connectors fits situations like: asking what connectors exist; what a connector can do; what fields/entities are available.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.