dependency-mapping

Build directed graphs from task dependencies and validate DAG constraints.

Updated Mar 16, 2026
One-click install
npx skills add https://github.com/hoshiyar-singh8/SprintPlanner --skill dependency-mapping-hoshiyar-singh8
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dependency-mapping
Source: https://github.com/hoshiyar-singh8/SprintPlanner/tree/main/skills/dependency-mapping
Command: npx skills add https://github.com/hoshiyar-singh8/SprintPlanner --skill dependency-mapping-hoshiyar-singh8

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dependency-mapping provides a formal framework for defining and validating dependencies between tasks, ensuring clean orchestration.

Core Features & Use Cases

  • Validates DAG constraints such as no cycles, no self-dependencies, and no dangling references.
  • Presents standard dependency types (blocks, depends_on, parallel) and recommended topologies for common architectures.
  • Use Case: Model software builds, feature work streams, or labeling tasks to guarantee coherent execution order.

Quick Start

Provide a list of tasks with their dependencies and let the system validate cycles and produce a topological ordering.

Frequently Asked Questions about dependency-mapping

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

FAQPage Schema
How do I validate task dependencies and detect cycles in a directed graph?

To validate task dependencies and detect cycles, build a directed graph from tasks and their depends_on relationships to enforce topological ordering and identify circular references.

What is topological sorting and when do I need it for project task coordination?

Topological sorting organizes tasks in a linear order based on dependencies, needed for project task coordination to guarantee coherent execution order and prevent blocked work streams.

How do I create a cycle-free execution plan for software architecture design?

Create a cycle-free execution plan by mapping tasks to a directed acyclic graph, validating constraints like no self-dependencies or dangling references, and applying topological ordering.

Can I use dependency mapping to validate DAG constraints for software builds?

Yes, you can use dependency mapping to validate DAG constraints for software builds by checking for cycles, self-dependencies, and dangling references to ensure a coherent execution order.

What is the best way to model feature work streams without circular dependencies?

The best way to model feature work streams without circular dependencies is defining tasks with depends_on relationships and applying cycle detection to produce a valid topological ordering.

Why does my task coordination fail with dangling references in the dependency graph?

Task coordination fails with dangling references because the dependency graph contains undefined relationships, breaking validation rules and preventing the generation of a coherent topological execution order.