Dependency Tracking

SkillAI & models

Map, track, and manage project dependencies across teams, systems, and organizations. Identify critical path items and prevent blocking issues through proactive dependency management.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Dependency Tracking skill

What this skill tells your AI

The instructions your AI receives, as published by aj-geddes/useful-ai-prompts in skills/dependency-tracking/SKILL.md and read by ahel’s review.

Table of Contents

  • Overview
  • When to Use
  • Quick Start
  • Reference Guides
  • Best Practices

Overview

Dependency tracking ensures visibility of task relationships, identifies blocking issues early, and enables better resource planning and risk mitigation.

When to Use

  • Multi-team projects and programs
  • Complex technical integrations
  • Cross-organizational initiatives
  • Identifying critical path items
  • Resource allocation planning
  • Preventing schedule delays
  • Onboarding new team members

Quick Start

Minimal working example:

# Dependency mapping and tracking

class DependencyTracker:
    DEPENDENCY_TYPES = {
        'Finish-to-Start': 'Task B cannot start until Task A is complete',
        'Start-to-Start': 'Task B cannot start until Task A starts',
        'Finish-to-Finish': 'Task B cannot finish until Task A is complete',
        'Start-to-Finish': 'Task B cannot finish until Task A starts'
    }

    def __init__(self):
        self.tasks = []
        self.dependencies = []
        self.critical_path = []

    def create_dependency_map(self, tasks):
        """Create visual dependency network"""
        dependency_graph = {
            'nodes': [],
            'edges': [],
            'critical_items': []
        }

        for task in tasks:
            dependency_graph['nodes'].append({
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
Dependency MappingDependency Mapping
Dependency Management BoardDependency Management Board
Dependency ResolutionDependency Resolution
Dependency Dashboard MetricsDependency Dashboard Metrics

Best Practices

✅ DO

  • Map dependencies early in planning
  • Update dependency tracking weekly
  • Identify and monitor critical path items
  • Proactively communicate blockers
  • Have contingency plans for key dependencies
  • Break complex dependencies into smaller pieces
  • Track external dependencies separately
  • Escalate blocked critical path items immediately
  • Remove unnecessary dependencies
  • Build in buffer time for risky dependencies

❌ DON'T

  • Ignore external dependencies
  • Leave circular dependencies unresolved
  • Assume dependencies will "work out"
  • Skip daily monitoring of critical path
  • Communicate issues only in status meetings
  • Create too many dependencies (couples systems)
  • Forget to document dependency rationale
  • Avoid escalating blocked critical work
  • Plan at 100% utilization (no buffer for dependencies)
  • Treat all dependencies as equal priority

Signals

GitHub stars
336
Forks
55
Last commit
Mar 2026
Advanced
Catalog kind
skill
Gateway key
dependency-tracking
Source
github.com/aj-geddes/useful-ai-prompts