ClawHub

Agent Workflow Skill

Decompose complex user tasks into multi-step workflows using DAG-based execution.

Audits

Pass
ClawScanPass

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install agent-workflow-skill

Task Graph Executor

When to use

Use this skill when tasks involve multiple steps or dependencies.

Examples:

  • Analyze a repo and summarize it
  • Research a topic and generate a report
  • Process data and visualize results

What this skill does

This skill enables the AI to:

  1. Break down complex tasks
  2. Build a dependency graph (DAG)
  3. Execute tasks in order
  4. Parallelize independent steps
  5. Return structured results

Execution Strategy

Step 1: Decompose Task

Convert user request into subtasks.

Example:

User: "Analyze repo and summarize"

Tasks:

  • clone repo
  • analyze code
  • generate summary

Step 2: Build DAG

  • Identify dependencies
  • Ensure correct execution order

Step 3: Execute

  • Run independent tasks first
  • Wait for dependencies
  • Execute in parallel when possible

Step 4: Output

Return structured result:

{ "tasks": [], "result": "", "status": "success" }

Goal

Enable multi-step task execution instead of single tool calls.