Can it detect circular dependencies?

Yes, the skill analyzes the dependency graph to flag circular relationships that could prevent successful project implementation.

What is the primary benefit of using AC Feature Analyzer?

It identifies the most efficient order to build features, ensuring foundational elements are completed first and minimizing downtime caused by blockers.

Does it support parallel development planning?

Yes, it identifies 'parallel opportunities'—groups of features that do not depend on each other and can be developed simultaneously to save time.

How does it integrate with other Claude Code skills?

It typically processes data from ac-state-tracker and provides analysis used by ac-session-manager and complexity-assessor for project orchestration.

AC Feature Analyzer

Name: AC Feature Analyzer
Author: adaptationio

byadaptationio

Productivity & Workflow

Maps feature dependencies and calculates critical paths to optimize the implementation order for complex software projects.

About

AC Feature Analyzer is a specialized utility designed to streamline autonomous development by mapping intricate feature relationships and dependencies. It builds a comprehensive dependency graph to identify bottlenecks, detect circular dependencies, and calculate the critical path for feature completion. By analyzing progress across different categories and suggesting parallel implementation opportunities, it enables developers and AI agents to determine the most efficient build sequence, ensuring that foundational components are prioritized and blockers are resolved before they stall production.

Key Features

0 GitHub stars
Automated dependency graph construction and circular dependency detection.
Real-time blocker identification with suggested unblocking sequences.
Category-based progress tracking and completion time prediction.
Parallel execution mapping to maximize development velocity and team output.
Critical path calculation to identify the longest chain of blocking features.

Use Cases

Optimizing the build order for a new microservices architecture with complex interdependencies.
Planning parallel development tasks for multi-agent autonomous implementation workflows.
Identifying bottleneck features in a large-scale software migration or refactoring project.

About

Key Features

0 GitHub stars
Automated dependency graph construction and circular dependency detection.
Real-time blocker identification with suggested unblocking sequences.
Category-based progress tracking and completion time prediction.
Parallel execution mapping to maximize development velocity and team output.
Critical path calculation to identify the longest chain of blocking features.

Use Cases

Optimizing the build order for a new microservices architecture with complex interdependencies.
Planning parallel development tasks for multi-agent autonomous implementation workflows.
Identifying bottleneck features in a large-scale software migration or refactoring project.