What is Wave-based execution?

It uses Kahn's Algorithm to group tasks into execution 'waves' based on their dependencies, allowing Claude to process independent tasks in parallel for maximum efficiency.

How does the skill handle simple tasks without over-planning?

It features built-in skip keywords like 'just', 'quick', or '바로' that automatically bypass the multi-phase planning workflow for immediate execution of trivial requests.

Can I use this for existing large-scale projects?

Yes, its parallel exploration agents are specifically designed to traverse large codebases to identify patterns, imports, and module relationships before proposing changes.

Where are the generated implementation plans stored?

Plans are saved as structured Markdown files in the .plans/ directory, or integrated within the .taskmaster/ folder if Task Master integration is enabled.

Jelly Plan Executor

Name: Jelly Plan Executor
Author: dev-jelly

bydev-jelly

Productivity & Workflow

Automates complex software development workflows through parallel codebase exploration, multi-perspective planning, and dependency-aware execution.

About

Jelly Plan Executor transforms Claude Code into a structured project manager by automatically initiating a rigorous planning cycle for every implementation request. It utilizes parallel agents to analyze the codebase from multiple angles—such as simplicity, robustness, and architectural patterns—and generates persistent plan files in the .plans directory. By mapping task dependencies using Kahn's Algorithm, it optimizes execution speed while ensuring architectural consistency, making it an essential tool for large-scale refactors, new feature development, and complex debugging sessions.

Key Features

Automated dependency mapping and parallel task execution waves
Persistent plan storage in Markdown format for auditability and reuse
Multi-perspective planning focusing on simplicity, robustness, and consistency
Parallel codebase exploration using multiple specialized agents
Smart skip logic for simple tasks using natural language keywords
0 GitHub stars

Use Cases

Deep contextual analysis and structured planning for critical bug fixes
Large-scale codebase refactoring requiring systematic dependency management
Implementation of complex features spanning multiple modules and layers

About

Key Features

Automated dependency mapping and parallel task execution waves
Persistent plan storage in Markdown format for auditability and reuse
Multi-perspective planning focusing on simplicity, robustness, and consistency
Parallel codebase exploration using multiple specialized agents
Smart skip logic for simple tasks using natural language keywords
0 GitHub stars

Use Cases

Deep contextual analysis and structured planning for critical bug fixes
Large-scale codebase refactoring requiring systematic dependency management
Implementation of complex features spanning multiple modules and layers