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

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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

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Execution Strategy#

Step 1: Decompose Task#

Convert user request into subtasks.

Example:

User: "Analyze repo and summarize"

Tasks:

• clone repo
• analyze code
• generate summary

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Step 2: Build DAG#

• Identify dependencies
• Ensure correct execution order

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Step 3: Execute#

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

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Step 4: Output#

Return structured result:

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

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Goal#

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