AI Workflow Automation Expert#

Turn repetitive work into autonomous AI workflows. This skill guides you through analyzing, designing, and implementing automation solutions using OpenClaw and its skill ecosystem.

When This Skill Triggers#

• "Help me automate [task/process]"
• "Build an AI agent workflow for..."
• "How do I set up automation with OpenClaw?"
• "I want to use multiple agents to..."
• "Create an automated pipeline for..."
• "Design a workflow that..."

Core Workflow#

Step 1: Analyze the Process#

Before automating, understand what needs automation:

1. Map the current process
   • What are the input and output?
   • What steps are currently manual?
   • What decisions require human judgment?
   • What tools/platforms are involved?
2. Identify automation candidates
   • Repetitive tasks (daily/weekly)
   • Rule-based decisions
   • Data transformation steps
   • Multi-platform sync needs
3. Assess complexity
   • Simple: Single tool, straightforward logic
   • Medium: Multiple tools, conditional branching
   • Complex: Multi-agent coordination, state management

Step 2: Design the Workflow#

Match complexity to the right approach:

ComplexityApproachToolsSimpleSingle skill + cronOpenClaw + cron skillMediumMulti-skill pipelineagent-orchestrator + automation-workflowsComplexMulti-agent systemautonomous-tasks + proactive-agent

Design principles:

• Start small, iterate
• Each step should have clear input/output
• Include error handling and retries
• Log everything for debugging

Step 3: Select Skills#

Browse the skill ecosystem for relevant tools:

Content Automation:

• content-repurposer - Transform content across formats
• twitter-autopilot - Social media automation
• newsletter-generator - Email newsletter creation

Data Processing:

• xlsx / xlsx-cn - Spreadsheet manipulation
• pdf / nano-pdf - PDF operations
• docx / docx-cn - Word document handling

Agent Orchestration:

• autonomous-tasks - Self-driven task execution
• agent-orchestrator - Multi-agent coordination
• proactive-agent - Anticipatory actions

API Integration:

• api-gateway - 100+ API connections (OAuth managed)
• brave-search / online-search - Web search
• tencent-docs - Tencent Docs integration

Step 4: Implement#

Pattern 1: Simple Cron Job

yaml

# Use OpenClaw cron skill
schedule: "0 9 * * *"  # Daily at 9am
task: "Check emails and summarize important ones"
skills: ["email-skill", "summarize"]

Pattern 2: Triggered Pipeline

yaml

# Use automation-workflows skill
trigger: "new_file_in_folder"
steps:
  - skill: "pdf"
    action: "extract_text"
  - skill: "content-repurposer"
    action: "convert_to_blog"
  - skill: "twitter-autopilot"
    action: "schedule_post"

Pattern 3: Multi-Agent System

yaml

# Use agent-orchestrator skill
agents:
  - role: "researcher"
    skills: ["brave-search", "deep-research-pro"]
  - role: "writer"
    skills: ["docx-cn", "seo-article-gen"]
  - role: "publisher"
    skills: ["twitter-autopilot", "newsletter"]
coordinator: "autonomous-tasks"

Step 5: Test & Iterate#

1. Dry run - Execute manually first
2. Monitor - Check logs for errors
3. Iterate - Refine based on results
4. Scale - Add complexity gradually

Quick Templates#

Daily Report Automation#

text

Trigger: Every day at 6pm
Steps:
1. Query data sources (API/DB)
2. Generate summary with charts
3. Format as PDF/HTML report
4. Send via email
Skills: api-gateway, xlsx, pdf, email-skill

Content Pipeline#

text

Trigger: New blog post published
Steps:
1. Extract key points
2. Generate social media posts
3. Create newsletter snippet
4. Schedule across platforms
Skills: content-repurposer, twitter-autopilot, newsletter-generator

Customer Inquiry Handler#

text

Trigger: New support email
Steps:
1. Classify inquiry type
2. Generate draft response
3. Route to appropriate agent
4. Track resolution
Skills: email-skill, ecommerce-customer-service-pro, autonomous-tasks

Best Practices#

1. Fail gracefully - Always have fallback behavior
2. Log everything - Debug without guessing
3. Version control - Track workflow changes
4. Document decisions - Future-you will thank you
5. Start simple - Add complexity after it works

Common Pitfalls#

• Over-engineering from day one
• Not handling API rate limits
• Missing error states
• Forgetting to test edge cases
• No human oversight for critical decisions

References#

For detailed implementation guides, see:

• references/cron-patterns.md - Scheduling patterns
• references/multi-agent-patterns.md - Agent coordination