Can it handle complex dependency mapping?

Yes, it automatically identifies technical and logical dependencies to ensure tasks are completed in the most efficient and logical order.

What format does the output take?

The skill generates a structured EXECUTION_PLAN.json file that serves as a machine-readable single source of truth for the AI's execution steps.

Is it suitable for large-scale software projects?

Absolutely; it is specifically designed to manage complex requirements by establishing quality gates and risk control mechanisms for long-term project stability.

How does this skill improve project success?

It breaks down complex goals into granular, 1-4 hour tasks with clear acceptance criteria, reducing ambiguity and improving execution accuracy for AI agents.

Execution Planning

Name: Execution Planning
Author: x-rush

byx-rush

생산성 및 워크플로

Transforms complex project requirements into detailed, actionable execution plans with clear milestones and quality gates.

소개

This skill provides professional-grade task decomposition and strategic planning for autonomous project execution. By breaking down large requirements into manageable 1-4 hour tasks, it ensures clear dependency mapping, precise acceptance criteria, and robust risk mitigation. It is particularly valuable for developers using Claude Code to automate complex workflows where rigorous structure and quality control are essential, producing a standardized EXECUTION_PLAN.json file to guide the entire development lifecycle.

주요 기능

0 GitHub stars
Hierarchical task decomposition into 1-4 hour executable units
Integrated quality gate and acceptance criteria definition
Standardized JSON-based execution plan generation
Comprehensive risk assessment and contingency planning
Automated dependency analysis and sequence optimization

사용 사례

Establishing verifiable quality benchmarks for autonomous AI development cycles
Converting abstract software requirements into a structured technical roadmap
Recalibrating project tasks when scope changes or roadblocks occur

소개

주요 기능

0 GitHub stars
Hierarchical task decomposition into 1-4 hour executable units
Integrated quality gate and acceptance criteria definition
Standardized JSON-based execution plan generation
Comprehensive risk assessment and contingency planning
Automated dependency analysis and sequence optimization

사용 사례

Establishing verifiable quality benchmarks for autonomous AI development cycles
Converting abstract software requirements into a structured technical roadmap
Recalibrating project tasks when scope changes or roadblocks occur