Edgeone Makers Tools
TencentEdgeOne/edgeone-makers-tools
EdgeOne Makers platform development router — the single entry point for building, storing data, and deploying on Tencent EdgeOne Makers.
Builds a complete agent with multiple Airbyte connectors using PydanticAI or Claude SDK.
Install Building Multi Connector Agent
$ npx skills add airbytehq/airbyte-agent-sdk --skill building-multi-connector-agent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install airbytehq/airbyte-agent-sdk building-multi-connector-agent --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/building-multi-connector-agent .claude/skills/building-multi-connector-agent && 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 "building-multi-connector-agent" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/building-multi-connector-agent into .claude/skills/building-multi-connector-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-multi-connector-agent", 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/building-multi-connector-agentType 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 building-multi-connector-agent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install airbytehq/airbyte-agent-sdk building-multi-connector-agent --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/building-multi-connector-agent .agents/skills/building-multi-connector-agent && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "building-multi-connector-agent" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/building-multi-connector-agent into .agents/skills/building-multi-connector-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-multi-connector-agent", 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 building-multi-connector-agent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install airbytehq/airbyte-agent-sdk building-multi-connector-agent --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/building-multi-connector-agent .cursor/skills/building-multi-connector-agent && 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 "building-multi-connector-agent" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/building-multi-connector-agent into .cursor/skills/building-multi-connector-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-multi-connector-agent", 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/building-multi-connector-agent--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 building-multi-connector-agent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install airbytehq/airbyte-agent-sdk building-multi-connector-agent --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/building-multi-connector-agent .gemini/skills/building-multi-connector-agent && 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 "building-multi-connector-agent" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/building-multi-connector-agent into .gemini/skills/building-multi-connector-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-multi-connector-agent", 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 building-multi-connector-agentInstalls 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 building-multi-connector-agent -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/building-multi-connector-agent .github/skills/building-multi-connector-agent && 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 "building-multi-connector-agent" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/building-multi-connector-agent into .github/skills/building-multi-connector-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-multi-connector-agent", 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 building-multi-connector-agent -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 building-multi-connector-agent --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/building-multi-connector-agent .opencode/skills/building-multi-connector-agent && 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 "building-multi-connector-agent" agent skill from https://github.com/airbytehq/airbyte-agent-sdk/tree/main/.codex/skills/building-multi-connector-agent into .opencode/skills/building-multi-connector-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-multi-connector-agent", 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
building-multi-connector-agent- GitHub stars
- 135
- Token cost
- ~1.7k tokens
- SKILL.md length
- 349 words
- Files
- 2
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Builds a complete agent with multiple Airbyte connectors using PydanticAI or Claude SDK.
- Works in 3 steps: Build a single AirbyteAuthConfig(...) so… → Construct one typed connector per… → Define execute, inspect, and docs…
- Building an agent with multiple connectors
- SKILL.md covers Going from Single to Multi, Install the SDK, Core Pattern (PydanticAI) and Three Progressive Tools Per…, plus 5 more sections
- Calls uv; needs AIRBYTE_CLIENT_SECRET
What it does
Building Multi Connector Agent is an agent skill from airbytehq/airbyte-agent-sdk, published by the product's own GitHub organization. Builds a complete agent with multiple Airbyte connectors using PydanticAI or Claude SDK. Scaffolds project structure, wires up connectors, composes tools, and creates a run loop. Use when building an agent with multiple connectors or scaffolding a new agent project.
Its SKILL.md is about 1.7k 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, covering Project scaffolding and Building AI agents. It works with Airbyte, Anthropic API, LangChain and OpenAI. The repository describes itself as: 🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.
When your agent uses it
- Building an agent with multiple connectors
- Scaffolding a new agent project
Example prompts
- “Use the building-multi-connector-agent skill to build a complete agent with multiple Airbyte connectors using PydanticAI or Claude SDK”
- “/building-multi-connector-agent”
Requirements
- Python 3
- A credential in AIRBYTE_CLIENT_SECRET
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Build a single AirbyteAuthConfig(...) so credentials are shared across connectors.
- Construct one typed connector per service (e.g. JiraConnector(auth_config=auth)).
- Define execute, inspect, and docs functions for each connector, each with its own @Connector.agent_tool(...) decorator.
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
Building Multi Connector Agent loads about 1.7k tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 349 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:152
├── .env # AIRBYTE_CLIENT_ID, AIRBYTE_CLIENT_SECRET, AIRBYTE_WORKSPACE_NAME
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 349 words (~1,669 tokens).
“Use this when an agent needs two or more Airbyte connectors.”
- name
- building-multi-connector-agent
Files
SKILL.md and 1 other file in .codex/skills/building-multi-connector-agent of airbytehq/airbyte-agent-sdk.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit ae1a33c
Compare with similar skills
Building Multi Connector Agent 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 |
|---|---|---|---|---|---|---|
| Building Multi Connector Agent this skillairbytehq/airbyte-agent-sdk | 135 | — | ~1.7k | Automated safety check: Notes | Custom licence | |
| Edgeone Makers ToolsTencentEdgeOne/edgeone-makers-tools | 1.9k | 1 repos | ~646 | Automated safety check: Pass | MIT | |
| Scaffolding Openai Agentsaiskillstore/marketplace | 433 | — | ~3.3k | Automated safety check: Pass | None | |
| Agent Squad Python Guide2FastLabs/agent-squad | 7.8k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Add Example AgentGetBindu/Bindu | 10k | — | ~1.1k | Automated safety check: Notes | Custom licence | |
| Omnigent Framework Detectionomnigent-ai/omnigent | 11k | — | ~610 | Automated safety check: Pass | Apache-2.0 |
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Scaffolding Openai Agents
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Agent Squad Python Guide
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Map of the agent-squad Python framework for async multi-agent orchestration: which agent, classifier, storage and tool provider to pick, and the pitfalls to avoid.
Add Example Agent
GetBindu/Bindu
Add a new self-contained example agent under examples/. An agent skill from GetBindu/Bindu.
Omnigent Framework Detection
omnigent-ai/omnigent
Scans Python agent code for framework imports and recommends the matching Omnigent executor type, or says when the framework is not natively supported yet.
Upgrade Stripe
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Guide for upgrading Stripe API versions and SDKs. An agent skill from kanchengw/cnllm.
More from airbytehq/airbyte-agent-sdk
- Official
Bootstrapping Agent
airbytehq/airbyte-agent-sdk
Wires up an Airbyte connector for use in a PydanticAI, Claude SDK, or other agent.
- Official
Discovering Connectors
airbytehq/airbyte-agent-sdk
Discovers available Airbyte connectors, explores their entities/actions/schemas, and checks auth requirements.
- Official
Airbyte SDK Reference
airbytehq/airbyte-agent-sdk
Reference documentation for the Airbyte per-connector typed SDK packages
Related
Works with
Categories
Questions about Building Multi Connector Agent
What does Building Multi Connector Agent do?
Builds a complete agent with multiple Airbyte connectors using PydanticAI or Claude SDK. Building Multi Connector Agent is an agent skill from airbytehq/airbyte-agent-sdk, published by the product's own GitHub organization. Builds a complete agent with multiple Airbyte connectors using PydanticAI or Claude SDK.
When should I use Building Multi Connector Agent?
Building Multi Connector Agent fits situations like: building an agent with multiple connectors; scaffolding a new agent project.
How do I install Building Multi Connector Agent in Claude Code?
Run `npx skills add airbytehq/airbyte-agent-sdk --skill building-multi-connector-agent -a claude-code`. Or copy the skill folder (.codex/skills/building-multi-connector-agent in airbytehq/airbyte-agent-sdk) into .claude/skills/building-multi-connector-agent in your project. Claude Code loads it when a task matches its description.
How do I install Building Multi Connector Agent in Codex?
Run `npx skills add airbytehq/airbyte-agent-sdk --skill building-multi-connector-agent -a codex`. Or copy the skill folder (.codex/skills/building-multi-connector-agent in airbytehq/airbyte-agent-sdk) into .agents/skills/building-multi-connector-agent in your project. Codex loads it when a task matches its description.
Can I use Building Multi Connector Agent 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 building-multi-connector-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/building-multi-connector-agent, .gemini/skills/building-multi-connector-agent, .github/skills/building-multi-connector-agent and .opencode/skills/building-multi-connector-agent in your project.
What does Building Multi Connector Agent need to run?
Going by SKILL.md and its folder, Building Multi Connector Agent 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 Building Multi Connector Agent 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 Building Multi Connector Agent safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Building Multi Connector Agent use?
Building Multi Connector Agent 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 Building Multi Connector Agent use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Building Multi Connector Agent?
Skills that share tags, products or a category with Building Multi Connector Agent: Edgeone Makers Tools (TencentEdgeOne/edgeone-makers-tools, 1.9k stars), Scaffolding Openai Agents (aiskillstore/marketplace, 433 stars), Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars) and Add Example Agent (GetBindu/Bindu, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Building Multi Connector Agent?
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.