Dependency Tracking

Handles dependency mapping and tracking across teams and systems with a focus on identifying critical path items before they become blockers. You get dependency type categorization (finish-to-start, start-to-start, etc.), visualization tools, and metrics dashboards. Most useful when coordinating multi-team projects or complex integrations where one delay cascades into others. The approach is straightforward: map early, update weekly, and escalate critical path blocks immediately. It won't magically resolve organizational silos, but it does surface the "Task B is waiting on Team C" problems that usually hide in status meetings until it's too late.

skills.sh installs: 440
GitHub stars: 379
last updated: Aug 21, 2026

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Install

$ npx -y skills add aj-geddes/useful-ai-prompts --skill dependency-tracking --agent claude-code

Installs into .claude/skills of the current project.

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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 = []

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