dare-dag

Analyze and visualize static Directed Acyclic Graphs of tasks from DARE project configurations.

Updated Jul 20, 2026
One-click install
npx skills add https://github.com/darelabs-tech/dare-cli --skill dare-dag
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dare-dag
Source: https://github.com/darelabs-tech/dare-cli/tree/main/.agents/skills/dare-dag
Command: npx skills add https://github.com/darelabs-tech/dare-cli --skill dare-dag

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates uncertainty in complex software development workflows by providing clear visibility into task dependencies, execution ranks, and the critical path of your project.

Core Features & Use Cases

  • DAG Visualization: Export and view the static task graph defined in your project.
  • Dependency Analysis: Identify which tasks can run in parallel and which must wait for others to complete.
  • Use Case: Before executing a complex multi-step build or deployment, use this skill to verify that your task topology is correctly configured and optimized for parallel execution.

Quick Start

Run the dare dag viz command to generate and display the visual representation of your current task graph.

Frequently Asked Questions about dare-dag

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize a Directed Acyclic Graph of task dependencies in a software workflow?

A Directed Acyclic Graph is a static structure of tasks where dependencies form a non-cyclic topology, allowing you to identify which tasks can run in parallel and which must wait for others to complete during software builds.

How do I identify the critical path and execution ranks in a task dependency graph?

To identify the critical path and execution ranks, analyze the static Directed Acyclic Graph of your task definitions to map out dependency chains and highlight the sequence of tasks that determine the minimum completion time.

Do I need the DARE CLI to parse YAML task definitions and render graph outputs?

Yes, the DARE CLI binary is required to parse YAML task definitions and render the static Directed Acyclic Graph outputs for your software development workflows.

What is the best way to verify task topology before executing a multi-step build?

The best way to verify task topology before a multi-step build is to generate and display a visual representation of your task graph, confirming that dependencies are correctly configured and optimized for parallel execution.

Can I check which tasks can run in parallel from a YAML task definition file?

Yes, by analyzing the static Directed Acyclic Graph parsed from YAML task definitions, you can identify execution ranks and dependency chains to determine exactly which tasks can run in parallel.

Why does my DAG visualization not show the correct task dependencies?

Your DAG visualization may show incorrect task dependencies if the underlying YAML task definitions contain misconfigured topology, which visual analysis helps identify by mapping execution ranks and highlighting dependency chains.