How are status changes handled?

The skill uses a dedicated Status Progression system that checks prerequisites and detects cascade events, ensuring features only move forward when quality gates are met.

Does it support parallel task execution?

Yes, the skill includes a Planning Specialist that generates execution graphs with parallel batches, allowing for concurrent development of independent tasks.

How does this differ from standard task management?

Unlike basic task lists, this skill uses intelligent orchestration, complexity assessment, and specialized subagents to handle the specific nuances and dependencies of software feature lifecycles.

When should I use the Feature Architect subagent?

You should launch the Feature Architect for complex features involving multiple components, deep integration requirements, or projects expected to exceed five tasks.

What are the benefits of tag-based filtering?

Tag-based filtering allows Claude to read only specific sections (like requirements or commands), reducing token consumption by 50-60% and improving response accuracy.

Feature Orchestration

Name: Feature Orchestration
Author: Angriff36

byAngriff36

Productividad y Flujo de Trabajo

Manages the entire feature development lifecycle through intelligent task breakdown, parallel execution planning, and automated workflow state tracking.

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The Feature Orchestration skill provides a comprehensive framework for managing software features from initial conception to final completion within Claude Code. It intelligently assesses feature complexity to determine the best execution path, leveraging specialized subagents like the Feature Architect and Planning Specialist for complex projects. With built-in token optimization through tagged section reading and automated 'cascade event' detection for status changes, it streamlines the development process, ensures quality gate enforcement, and coordinates parallel task execution to accelerate delivery and maintain architectural integrity.

Características Principales

Token-optimized documentation reading using granular tag-based filtering
Dependency-aware task breakdown and execution graph generation
0 GitHub stars
Automated workflow state tracking with proactive cascade event detection
Intelligent feature complexity assessment and automated agent routing
Standardized quality gate enforcement and status progression management

Casos de Uso

Transforming high-level feature requests into detailed, domain-isolated task breakdowns
Managing complex status transitions and prerequisites across large development projects
Optimizing LLM token usage when processing large-scale technical specifications

Acerca de

Características Principales

Token-optimized documentation reading using granular tag-based filtering
Dependency-aware task breakdown and execution graph generation
0 GitHub stars
Automated workflow state tracking with proactive cascade event detection
Intelligent feature complexity assessment and automated agent routing
Standardized quality gate enforcement and status progression management

Casos de Uso

Transforming high-level feature requests into detailed, domain-isolated task breakdowns
Managing complex status transitions and prerequisites across large development projects
Optimizing LLM token usage when processing large-scale technical specifications