awesome-openclaw-tutorial

name	awesome-openclaw-tutorial
description	OpenClaw AI工作助手完整中文教程 - 安装配置、Skills扩展、自动化工作流和实战案例
triggers	["how do I install and configure OpenClaw","show me OpenClaw skills and automation examples","help me set up OpenClaw with custom models","how to use OpenClaw for file management and knowledge base","OpenClaw integration with Feishu Slack or WeChat","troubleshoot OpenClaw gateway or API connection issues","OpenClaw Task Flow and webhooks configuration","create OpenClaw workflows for productivity automation"]

awesome-openclaw-tutorial

Skill by ara.so — Hermes Skills collection.

Complete Chinese tutorial for OpenClaw - an AI-powered work assistant. Covers installation, configuration, Skills ecosystem, automation workflows, API integration, and practical use cases for solo entrepreneurs and teams.

What is OpenClaw?

OpenClaw is an AI assistant framework that runs locally or in cloud, providing:

• File management, knowledge base, and scheduling automation
• 1800+ Skills for extending capabilities
• Multi-platform integration (Feishu, Slack, WeChat, DingTalk, QQ)
• Task automation with cron, Task Flow, and webhooks
• Media generation (images, video, audio, TTS) via openclaw infer
• Active Memory and Memory Wiki for context retention

Current stable version: v2026.4.14
Recommended runtime: Node 24 (minimum Node 22.16+)

Quick Installation

Method 1: One-Click Deployment (Recommended for Beginners)

Feishu Miaoda (Free, 1M tokens/day):

# Visit https://awesome.tryopenclaw.asia/
# Click "Feishu Miaoda" deployment
# Complete in 1 minute, no server needed

Baota Panel (Free plugin, visual management):

# Install Baota Panel first
# Add "OpenClaw" plugin from marketplace
# One-click install and configure

Method 2: Standard Installation

# Install via npm (Node 22.16+ required)
npm install -g openclaw

# Or via yarn
yarn global add openclaw

# Initialize and onboard
openclaw onboard

# Start gateway
openclaw gateway start

Method 3: Docker

# Pull latest image
docker pull openclaw/openclaw:latest

# Run with environment variables
docker run -d \
  -e OPENCLAW_TZ=Asia/Shanghai \
  -e OPENCLAW_API_KEY=$OPENCLAW_API_KEY \
  -p 3000:3000 \
  -v ~/.openclaw:/root/.openclaw \
  openclaw/openclaw:latest

# Check status
docker ps

Configuration

Model Authentication (2026.4+ Standard)

# Login to model providers (replaces old local-* skills)
openclaw models auth login --provider anthropic
openclaw models auth login --provider openai
openclaw models auth login --provider gemini

# List authenticated providers
openclaw models auth list

# Set default model
openclaw config set model.default "claude-3-5-sonnet-20241022"

# Enable fast mode (cheaper, faster for OpenAI/Anthropic)
# User says: /fast

Gateway Authentication (Required since v2026.3.7)

# Set authentication mode (token or password)
openclaw config set gateway.auth.mode token
openclaw config set gateway.auth.token "${OPENCLAW_GATEWAY_TOKEN}"

# Restart gateway
openclaw gateway restart

Tools Profile (Fix "AI can't do anything" issue)

# Set to 'full' for complete toolset including command execution
openclaw config set tools.profile full

# Profile options:
# - messaging: only chat and session management
# - default: standard tools (no command exec)
# - coding: programming tools
# - full: complete toolset (RECOMMENDED)
# - all: everything enabled

openclaw gateway restart

Active Memory and Memory Wiki (2026.4+ Mainline)

# Enable Active Memory (retrieves context before replies)
openclaw config set memory.active.enabled true

# Enable Dreaming (background memory consolidation)
openclaw config set memory.dreaming.enabled true

# Enable Memory Wiki (structured knowledge claims)
openclaw config set memory.wiki.enabled true

# Configure memory retention
openclaw config set memory.retention.days 90

Key Commands

Core CLI

# Check version
openclaw --version

# Show current config
openclaw config list

# Set config value
openclaw config set <key> <value>

# Gateway control
openclaw gateway start
openclaw gateway stop
openclaw gateway restart
openclaw gateway status

# Model inference (unified interface)
openclaw infer text "Explain quantum computing"
openclaw infer image "A red panda in space" --model dall-e-3
openclaw infer video "Ocean waves" --provider runway
openclaw infer audio "Calm piano music" --provider suno
openclaw infer tts "Hello world" --voice nova
openclaw infer web "https://example.com"
openclaw infer embedding "Document text to embed"

# Skills management (DEPRECATED in 2026.4+, use models auth instead)
# clawhub search <query>
# clawhub info <skill-name>
# clawhub install <skill-name>

Task Automation

# Create cron task (scheduled)
openclaw tasks create \
  --name "daily-summary" \
  --schedule "0 18 * * *" \
  --command "Generate daily summary and send to Feishu"

# Create Task Flow (persistent workflow)
openclaw tasks flow create \
  --name "content-pipeline" \
  --trigger webhook \
  --steps "research,write,review,publish"

# List tasks
openclaw tasks list

# Create webhook endpoint
openclaw webhooks create \
  --name "github-pr-review" \
  --url "/webhooks/github" \
  --action "Review PR and comment"

# List webhooks
openclaw webhooks list

Real Code Examples

Example 1: File Management Automation (Shell)

#!/bin/bash
# Auto-organize downloads folder

# User prompt to OpenClaw:
# "Organize my Downloads folder: move images to Images/, 
#  PDFs to Documents/, and delete files older than 30 days"

# OpenClaw executes internally via file management tools
# No manual scripting needed - AI handles the logic

# For custom automation, use Task Flow:
openclaw tasks flow create \
  --name "organize-downloads" \
  --schedule "0 2 * * *" \
  --steps "scan_downloads,categorize_files,move_files,cleanup_old"

Example 2: Knowledge Base Integration (JavaScript/Node)

// Add document to knowledge base
const { OpenClawClient } = require('openclaw-sdk');

const client = new OpenClawClient({
  apiKey: process.env.OPENCLAW_API_KEY,
  baseUrl: 'http://localhost:3000'
});

async function addToKnowledgeBase(filePath, metadata) {
  try {
    const result = await client.knowledge.add({
      file: filePath,
      metadata: {
        tags: metadata.tags,
        source: metadata.source,
        category: metadata.category
      },
      activeMemory: true, // Enable Active Memory indexing
      memoryWiki: true    // Add to Memory Wiki
    });
    
    console.log('Document added:', result.id);
    return result;
  } catch (error) {
    console.error('Failed to add document:', error.message);
    throw error;
  }
}

// Query knowledge base
async  () {
   results =  client..({
    : query,
    : ,
    : , 
    :     
  });
  
   results;
}


(, {
  : [, ],
  : ,
  : 
});

().( {
  .(, results., );
});

Example 3: Feishu Bot Integration (JavaScript)

// Feishu bot webhook handler
const express = require('express');
const app = express();

app.post('/feishu/webhook', async (req, res) => {
  const event = req.body;
  
  if (event.type === 'message') {
    const userMessage = event.message.content;
    
    // Send to OpenClaw for processing
    const response = await fetch('http://localhost:3000/api/chat', {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'Authorization': `Bearer ${process.env.OPENCLAW_API_KEY}`
      },
      body: JSON.stringify({
        message: userMessage,
        sessionId: event.message.chat_id,
        platform: 'feishu',
        useActiveMemory: true // Retrieve relevant context
      })
    });
    
    const result = await response.json();
    
    // Send response back to Feishu
    await sendFeishuMessage(event.., result.);
  }
  
  res.({ :  });
});

app.();

Example 4: Media Generation Workflow (Shell)

#!/bin/bash
# Generate content pipeline: text -> image -> video

# Step 1: Generate article
ARTICLE=$(openclaw infer text "Write a 500-word article about sustainable energy" \
  --model gpt-4-turbo)

# Step 2: Generate cover image
openclaw infer image "Sustainable energy concept art, vibrant, professional" \
  --model dall-e-3 \
  --size 1792x1024 \
  --output cover.png

# Step 3: Generate promotional video
openclaw infer video "Solar panels in a green field, golden hour" \
  --provider runway \
  --duration 5 \
  --output promo.mp4

# Step 4: Generate background music
openclaw infer audio "Uplifting corporate background music" \
  --provider suno \
  --duration 30 \
  --output bgm.mp3

# Step 5: Combine and publish
echo "Content pipeline complete!"
ls -lh cover.png promo.mp4 bgm.mp3

Example 5: Task Flow with Webhooks (YAML)

# ~/.openclaw/flows/content-approval.yaml
name: content-approval-flow
trigger:
  type: webhook
  path: /webhooks/content-submit
  
steps:
  - name: review-content
    action: infer
    input: "Review the submitted content for quality and compliance"
    model: claude-3-5-sonnet-20241022
    
  - name: check-approval
    action: conditional
    condition: "review.score > 8"
    
  - name: publish
    action: webhook
    url: https://cms.example.com/publish
    method: POST
    headers:
      Authorization: "Bearer ${CMS_API_KEY}"
    body:
      content: "{{ steps.review.content }}"
      status: approved
      
  - name: notify
    action: send-message
    platform: feishu
    channel: "${FEISHU_CHANNEL_ID}"
    message: 

Load flow:

openclaw tasks flow load ~/.openclaw/flows/content-approval.yaml
openclaw tasks flow start content-approval-flow

Common Patterns

Pattern 1: Daily Automation Routine

# Create morning briefing task
openclaw tasks create \
  --name "morning-briefing" \
  --schedule "0 8 * * *" \
  --command "Generate morning briefing: check emails, calendar, news, weather. Send to Feishu."

# Create evening summary task
openclaw tasks create \
  --name "evening-summary" \
  --schedule "0 18 * * *" \
  --command "Summarize today's work: meetings attended, tasks completed, files created. Archive to knowledge base."

Pattern 2: Multi-Platform Sync

// Sync message across platforms
async function syncMessage(message, platforms) {
  const results = await Promise.all(
    platforms.map(platform => 
      client.messaging.send({
        platform: platform,
        channelId: process.env[`${platform.toUpperCase()}_CHANNEL_ID`],
        message: message,
        useActiveMemory: true
      })
    )
  );
  
  return results;
}

// Usage
syncMessage('Deployment complete for v2.0', ['feishu', 'slack', 'wechat']);

Pattern 3: Knowledge Base -> Memory Wiki Pipeline

# User uploads document
openclaw knowledge add ./research-paper.pdf \
  --tags "AI,research" \
  --auto-extract-claims

# OpenClaw automatically:
# 1. Extracts text content
# 2. Creates Memory Wiki claims with evidence
# 3. Indexes for Active Memory retrieval
# 4. Checks for contradictions with existing claims

# Query across knowledge base and memory
openclaw infer text "What are the latest findings on transformer models?" \
  --use-active-memory \
  --use-memory-wiki

Troubleshooting

Gateway Won't Start (2026.3.7+)

Symptom: Error: gateway.auth.mode must be set

Fix:

openclaw config set gateway.auth.mode token
openclaw config set gateway.auth.token "$(openssl rand -hex 32)"
openclaw gateway restart

AI Only Chats, Can't Execute Commands (2026.3.2+)

Symptom: OpenClaw responds to questions but won't manage files or run commands

Fix:

# Check current profile
openclaw config get tools.profile

# Set to 'full' for complete toolset
openclaw config set tools.profile full
openclaw gateway restart

Model Authentication Errors

Symptom: Model provider not authenticated

Fix:

# Re-authenticate (2026.4+ method)
openclaw models auth login --provider openai
openclaw models auth login --provider anthropic

# Verify
openclaw models auth list

# Set default
openclaw config set model.default "claude-3-5-sonnet-20241022"

High API Costs

Solutions:

# 1. Enable fast mode for OpenAI/Anthropic (cheaper)
openclaw config set model.fast_mode true

# 2. Use local models with Ollama
openclaw models auth login --provider ollama
openclaw config set model.default "llama3:70b"

# 3. Set token limits
openclaw config set model.max_tokens 4000

# 4. Use Chinese domestic models (95% cost savings)
openclaw models auth login --provider deepseek
openclaw config set model.default "deepseek-chat"

Active Memory Not Working

Symptom: AI doesn't recall previous context

Fix:

# Enable Active Memory
openclaw config set memory.active.enabled true
openclaw config set memory.dreaming.enabled true

# Force memory refresh
openclaw memory rebuild

# Check memory stats
openclaw memory stats

# Restart gateway
openclaw gateway restart

Task Flow Execution Failures

Symptom: Workflows stuck or fail silently

Debug:

# Check task logs
openclaw tasks logs <task-name>

# Validate flow definition
openclaw tasks flow validate ~/.openclaw/flows/my-flow.yaml

# Test individual steps
openclaw tasks flow test my-flow --step review-content

# Enable debug mode
openclaw config set debug.tasks true
openclaw gateway restart

ComfyUI Integration Issues

Symptom: infer image fails with ComfyUI backend

Fix:

# Install ComfyUI skill (if using pre-2026.4 setup)
# Note: In 2026.4+, use built-in infer command instead

# Verify ComfyUI is running
curl http://localhost:8188/system_stats

# Set ComfyUI endpoint
openclaw config set comfyui.endpoint "http://localhost:8188"

# Test connection
openclaw infer image "test" --provider comfyui

Windows Specific Issues

Symptom: Black console window pops up on gateway restart

Fix: Upgrade to v2026.3.13+ which fixes this issue

# Update OpenClaw
npm update -g openclaw

# Verify version
openclaw --version  # Should be >= v2026.3.13

Configuration Reference

Key config paths in ~/.openclaw/config.json:

{
  "model": {
    "default": "claude-3-5-sonnet-20241022",
    "fast_mode": true,
    "max_tokens": 4000
  },
  "gateway": {
    "auth": {
      "mode": "token",
      "token": "${OPENCLAW_GATEWAY_TOKEN}"
    },
    "port": 3000
  },
  "tools": {
    "profile": "full"
  },
  "memory": {
    "active": {
      "enabled": true
    },
     
       
       
    
     
       
    
     
       
    
  
   
     
       
       
    
     
       
    
  

Resources

• Official Tutorial: https://awesome.tryopenclaw.asia/
• GitHub Repo: https://github.com/xianyu110/awesome-openclaw-tutorial
• Skills Marketplace: Search via openclaw models auth (2026.4+) or legacy clawhub search
• Quick Start Guide: Chapter 3 - Quick Start
• API Integration: Chapter 10 - API & External Capabilities
• Task Flow Guide: Chapter 13 - Advanced Automation

Important: This tutorial tracks v2026.4.14 stable. Some legacy content (old skill names, deprecated commands) remains for reference. Always verify against current openclaw --version and official docs.