dare-dag-run

Execute YAML-defined DAG tasks with the DARE CLI orchestrator.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of managing complex software development workflows by automating the execution of tasks defined in a directed acyclic graph (DAG), ensuring that dependencies are respected and human-in-the-loop checkpoints are maintained.

Core Features & Use Cases

  • Topological Execution: Automatically runs tasks in the correct order based on the DARE DAG definition.
  • State Management: Tracks task status, handles failures with cascade-skipping, and provides a live visual canvas for progress monitoring.
  • Use Case: When building a complex feature, use this skill to systematically execute implementation tasks, run tests, and validate code contracts without manually tracking which sub-tasks are ready for development.

Quick Start

Invoke the dare-dag-run skill to begin executing the next ready tasks in your project workflow.

Frequently Asked Questions about dare-dag-run

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

FAQPage Schema
How do I automate complex software development workflows with task dependencies?

Automating complex software development workflows involves executing tasks defined in a YAML-based directed acyclic graph. The DARE orchestrator manages task dependencies and topological ordering to ensure correct execution sequences for implementation workflows.

How does DAG orchestration handle task failures and state transitions?

DAG orchestration handles task failures by tracking task status and applying cascade-skipping to dependent nodes. It manages state transitions automatically, ensuring that failed upstream tasks prevent downstream execution while providing a live visual canvas for progress monitoring.

Do I need the dare-cli binary installed to run YAML-based DAG tasks?

Yes, you need the dare-cli binary installed in your system path to run YAML-based DAG tasks. You also require a valid DARE/dare-dag.yaml configuration file to define the execution workflow before invoking the orchestration skill.

What is the best way to execute implementation tasks in topological order?

The best way to execute implementation tasks in topological order is using a YAML-based DAG orchestrator. It automatically sequences development tasks, runs tests, and validates code contracts based on defined dependencies without manually tracking sub-task readiness.

When do I need a directed acyclic graph for software implementation workflows?

You need a directed acyclic graph for software implementation workflows when building complex features with multiple interdependent sub-tasks. It systematically executes implementation tasks while respecting dependency order and maintaining human-in-the-loop checkpoints.