alicloud-platform-openclaw-setup▌
cinience/alicloud-skills · updated Apr 8, 2026
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Deploy OpenClaw on Linux, enable DingTalk, Feishu, Discord, or other documented channels, and verify gateway health.
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:
- Prepare Linux runtime and install OpenClaw.
- Discover channels from official docs (required for new channel requests).
- Install and verify channel integrations.
- Create/merge
~/.openclaw/openclaw.json. - Configure and start gateway service.
- 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
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
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:
- Open
https://docs.openclaw.ai/channels/index. - Identify requested channel pages from the "Supported channels" list.
- 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.
- Apply installation/configuration on host.
- 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.bailianfor DashScope endpoint and models.agents.defaults.model.primaryinprovider/modelformat, default tobailian/glm-5.models.providers.bailian.modelsordered as:qwen3-plusglm-5minimax-m2.5kimi-k2.5
agents.defaults.model.fallbacksordered as:bailian/qwen3-plusbailian/minimax-m2.5bailian/kimi-k2.5
channels.dingtalk-connector,channels.feishu, orchannels.discordcredentials and policy.plugins.allowincluding installed channel plugins.
Important:
- Agent-level model config at
~/.openclaw/agents/main/agent/models.jsoncan 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-> usehttps://dashscope.aliyuncs.com/compatible-mode/v1api: openai-responses-> usehttps://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
openclaw gateway install
openclaw gateway start
openclaw gateway status
If running with user-level systemd, reload after config changes:
systemctl --user import-environment DASHSCOPE_API_KEY
systemctl --user daemon-reload
systemctl --user restart openclaw-gateway
Step 6: Verify and Troubleshoot
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.primaryformat (provider/model-id). - API key error: verify
models.providers.bailian.apiKeyandDASHSCOPE_API_KEYimported 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-completionsvsopenai-responses) and clear stale session if needed. - DingTalk no response: use
openclaw logs --followand checkgateway/channels/dingtalk-connectorlines 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
mkdir -p output/alicloud-platform-openclaw-setup
echo "validation_placeholder" > output/alicloud-platform-openclaw-setup/validate.txt
Pass criteria: command exits 0 and output/alicloud-platform-openclaw-setup/validate.txt is generated.
Output And Evidence
- Save artifacts, command outputs, and API response summaries under
output/alicloud-platform-openclaw-setup/. - Include key parameters (region/resource id/time range) in evidence files for reproducibility.
Workflow
- Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
- Run one minimal read-only query first to verify connectivity and permissions.
- Execute the target operation with explicit parameters and bounded scope.
- Verify results and save output/evidence files.
How to use alicloud-platform-openclaw-setup on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add alicloud-platform-openclaw-setup
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches alicloud-platform-openclaw-setup from GitHub repository cinience/alicloud-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate alicloud-platform-openclaw-setup. Access the skill through slash commands (e.g., /alicloud-platform-openclaw-setup) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★33 reviews- ★★★★★Pratham Ware· Dec 20, 2024
alicloud-platform-openclaw-setup has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aditi Martinez· Dec 20, 2024
alicloud-platform-openclaw-setup is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Jin Flores· Dec 4, 2024
Useful defaults in alicloud-platform-openclaw-setup — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Valentina Abbas· Nov 23, 2024
I recommend alicloud-platform-openclaw-setup for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Olivia Martinez· Nov 15, 2024
alicloud-platform-openclaw-setup has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aditi Anderson· Nov 15, 2024
Keeps context tight: alicloud-platform-openclaw-setup is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Camila Srinivasan· Nov 11, 2024
alicloud-platform-openclaw-setup reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Jin Garcia· Oct 14, 2024
alicloud-platform-openclaw-setup reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ren Rahman· Oct 6, 2024
Keeps context tight: alicloud-platform-openclaw-setup is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Henry Garcia· Oct 6, 2024
alicloud-platform-openclaw-setup has been reliable in day-to-day use. Documentation quality is above average for community skills.
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