dare-dag-build

Name: dare-dag-build
Availability: InStock
Author: darelabs-tech

Regenerate dare-dag.yaml from BLUEPRINT.md with validated task dependencies.

Updated Jul 20, 2026

Search Tags:#automation #workflow #architecture #graph #dag #dare

Ready to run

npx skills add https://github.com/darelabs-tech/dare-cli --skill dare-dag-build

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dare-dag-build
Source: https://github.com/darelabs-tech/dare-cli/tree/main/.agents/skills/dare-dag-build
Command: npx skills add https://github.com/darelabs-tech/dare-cli --skill dare-dag-build

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the inconsistency between high-level architectural blueprints and the granular task execution graph, ensuring the DARE DAG accurately reflects the current project state without requiring a full manual rebuild.

Core Features & Use Cases

Automated DAG Reconstruction: Rebuilds the dare-dag.yaml file based on the latest approved BLUEPRINT.md.
Consistency Enforcement: Validates task IDs, dependencies, and complexity levels to prevent architectural drift.
Use Case: When you modify your project architecture in the BLUEPRINT.md file, use this skill to automatically update your task graph and execution specs to match the new design.

Quick Start

Invoke the dare-dag-build skill to synchronize your execution graph with the latest blueprint changes.

Frequently Asked Questions about dare-dag-build

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

FAQPage Schema

How do I generate a directed acyclic graph from an architectural blueprint?▼

To generate a directed acyclic graph from a blueprint, you must parse the architectural definitions to construct a valid DAG of development tasks. This process preserves existing execution specifications while validating task dependencies and complexity metrics.

How do I keep my task execution graph synchronized with my project architecture?▼

You can keep your task execution graph synchronized by regenerating the DAG configuration file based on the latest architectural blueprint. This enforces consistency by validating task IDs and dependencies to prevent architectural drift without a full manual rebuild.

What is automated DAG reconstruction for development workflows?▼

Automated DAG reconstruction is the process of rebuilding a YAML task graph configuration from a markdown architectural definition. It ensures structural integrity by validating task dependencies, complexity metrics, and anti-stub compliance for generated subtask prompts.

Does DAG generation validate task dependencies and complexity metrics?▼

Yes, DAG generation validates task dependencies and complexity metrics during the configuration rebuild. This validation ensures structural integrity and enforces anti-stub compliance for all generated subtask prompts.

When should I regenerate my development task graph?▼

You should regenerate your development task graph whenever you modify your project architecture in the blueprint file. This automatically updates your task graph and execution specifications to match the new design and prevents architectural drift.

What are the limitations of using architectural blueprints for DAG generation?▼

The limitation of using architectural blueprints for DAG generation is that the output configuration is strictly bound to the blueprint's structural definitions. You must maintain a valid markdown architectural definition file with explicit task dependencies to ensure successful generation.