Aliyun Openclaw Setup logo

Aliyun Openclaw Setup

Community
cinience
aliyun-openclaw-setup

Use when installing or configuring OpenClaw with DingTalk, Feishu, Discord, and additional channels with Bailian/DashScope models on Linux hosts. Use when provisioning a new OpenClaw node, troubleshooting gateway/channel startup, standardizing openclaw.json mapping, or automatically discovering extra channels from https://docs.openclaw.ai/channels.

Overview

Publishercinience
Repositoryalicloud-skills
Skill namealiyun-openclaw-setup
Stars
397
Forks
34
Bundled files
6
LicenseMIT
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Aliyun Openclaw Setup 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.
    https://github.com/cinience/alicloud-skills/tree/main/skills/platform/openclaw/aliyun-openclaw-setup
  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/cinience/alicloud-skills.git /tmp/alicloud-skills
mkdir -p .claude/skills
cp -r /tmp/alicloud-skills/skills/platform/openclaw/aliyun-openclaw-setup .claude/skills/aliyun-openclaw-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aliyun Openclaw Setup 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 Aliyun Openclaw Setup 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 Aliyun Openclaw Setup 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.

OpenClaw Setup

Deploy OpenClaw on Linux, enable DingTalk, Feishu, Discord, or other documented channels, and verify gateway health.

Use This Workflow

Run this sequence in order:

  1. Prepare Linux runtime and install OpenClaw.
  2. Discover channels from official docs (required for new channel requests).
  3. Install and verify channel integrations.
  4. Create/merge ~/.openclaw/openclaw.json.
  5. Configure and start gateway service.
  6. Run health checks and collect logs.

Prerequisites

  • SSH access to target Linux host (Debian/Ubuntu preferred).
  • DingTalk enterprise app credentials (AppKey, AppSecret) for the official connector, or Feishu app credentials (App ID, App Secret), or Discord bot token.
  • DashScope API key.

Step 1: Prepare Runtime

bash
ssh root@<server>
curl -fsSL https://deb.nodesource.com/setup_20.x | bash -
apt-get install -y nodejs
node --version
npm --version

Step 2: Install OpenClaw and Channel Integrations

bash
npm install -g openclaw@latest
openclaw --version

# DingTalk official connector
openclaw plugins install @dingtalk-real-ai/dingtalk-connector --pin
# or install from official GitHub repo
openclaw plugins install https://github.com/DingTalk-Real-AI/dingtalk-openclaw-connector.git
openclaw plugins list | grep dingtalk

# Feishu channel
openclaw plugins install @openclaw/feishu
openclaw plugins list | grep feishu

# Discord channel (built-in, no extra plugin needed)
# Configure token in Step 3 and start gateway in Step 4

If upgrading from old DingTalk plugins, uninstall legacy plugin IDs first and keep only the official connector in plugins.allow.

Step 3: Auto-Discover Additional Channels from Official Docs

When user asks for any extra channel beyond current setup, do this first:

  1. Open https://docs.openclaw.ai/channels/index.
  2. Identify requested channel pages from the "Supported channels" list.
  3. Open each channel page and extract:
    • Whether it is built-in or plugin-based.
    • Exact install command (do not guess package names).
    • Required credentials/tokens and config keys.
  4. Apply installation/configuration on host.
  5. Record channel-specific notes into ~/.openclaw/openclaw.json.

Use the exact workflow in references/channel-discovery.md.

Step 4: Configure openclaw.json

Create or update ~/.openclaw/openclaw.json with:

  • models.providers.bailian for DashScope endpoint and models.
  • agents.defaults.model.primary in provider/model format, default to bailian/glm-5.
  • models.providers.bailian.models ordered as:
    1. qwen3-plus
    2. glm-5
    3. minimax-m2.5
    4. kimi-k2.5
  • agents.defaults.model.fallbacks ordered as:
    1. bailian/qwen3-plus
    2. bailian/minimax-m2.5
    3. bailian/kimi-k2.5
  • channels.dingtalk-connector, channels.feishu, or channels.discord credentials and policy.
  • plugins.allow including installed channel plugins.

Important:

  • Agent-level model config at ~/.openclaw/agents/main/agent/models.json can override ~/.openclaw/openclaw.json.
  • Keep provider definitions aligned in both files when defaults appear not to take effect.
  • Protocol must match endpoint:
    • api: openai-completions -> use https://dashscope.aliyuncs.com/compatible-mode/v1
    • api: openai-responses -> use https://dashscope.aliyuncs.com/api/v2/apps/protocols/compatible-mode/v1

Use the full template in references/config.md. Use DingTalk field mapping in references/dingtalk-setup.md. Use Feishu setup and field mapping in references/feishu-setup.md. Use Discord setup and field mapping in references/discord-setup.md. Use channel discovery workflow in references/channel-discovery.md.

Step 5: Install and Start Gateway

bash
openclaw gateway install
openclaw gateway start
openclaw gateway status

If running with user-level systemd, reload after config changes:

bash
systemctl --user import-environment DASHSCOPE_API_KEY
systemctl --user daemon-reload
systemctl --user restart openclaw-gateway

Step 6: Verify and Troubleshoot

bash
openclaw doctor
openclaw gateway status
openclaw gateway logs -f

Common failures:

  • Plugin not loaded: re-run plugin install and check plugins.allow.
  • Unknown model: check agents.defaults.model.primary format (provider/model-id).
  • API key error: verify models.providers.bailian.apiKey and DASHSCOPE_API_KEY imported in systemd.
  • Config changed but runtime model unchanged: check and update ~/.openclaw/agents/main/agent/models.json.
  • Empty payload / unexpected fallback: verify protocol-endpoint pair (openai-completions vs openai-responses) and clear stale session if needed.
  • DingTalk no response: use openclaw logs --follow and check gateway/channels/dingtalk-connector lines for stream reconnect or credential issues.
  • Official connector installed but old probes inconsistent: rely on runtime logs and real message send/receive as source of truth.
  • Feishu no response: check event subscription mode is WebSocket and gateway is running.
  • Discord no response: verify bot intents, token, and first-DM pairing approval.

Security Notes

  • Do not hardcode real secrets in repository files.
  • Keep production keys in server-local configs or secret managers.
  • Redact logs before sharing in tickets or chat.

Validation

bash
mkdir -p output/aliyun-openclaw-setup
echo "validation_placeholder" > output/aliyun-openclaw-setup/validate.txt

Pass criteria: command exits 0 and output/aliyun-openclaw-setup/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/aliyun-openclaw-setup/.
  • Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Workflow

  1. Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
  2. Run one minimal read-only query first to verify connectivity and permissions.
  3. Execute the target operation with explicit parameters and bounded scope.
  4. Verify results and save output/evidence files.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aliyun Openclaw Setup AI skill do?

Use when installing or configuring OpenClaw with DingTalk, Feishu, Discord, and additional channels with Bailian/DashScope models on Linux hosts. Use when provisioning a new OpenClaw node, troubleshooting gateway/channel startup, standardizing openclaw.json mapping, or automatically discovering extra channels from https://docs.openclaw.ai/channels.

Why use Aliyun Openclaw Setup on TypingMind?

Because you install it once and use it with any model. Aliyun Openclaw Setup 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 Aliyun Openclaw Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cinience/alicloud-skills/tree/main/skills/platform/openclaw/aliyun-openclaw-setup. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aliyun Openclaw Setup?

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 Aliyun Openclaw Setup?

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

Is the Aliyun Openclaw Setup AI skill free?

Yes. It is published on GitHub by cinience under the MIT 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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