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.