How does it handle project progress?

It generates Markdown-compatible checklists and high-level progress summaries that can be updated throughout the development lifecycle.

Does it generate implementation code directly?

No, it generates a strategic plan with file paths, interfaces, and validation criteria, leaving the specific logic to the developer while providing the blueprint.

What is the benefit of dependency mapping in this skill?

It prevents bottlenecks by clearly identifying which tasks are 'blockers' and which can be started immediately, optimizing the overall development timeline.

When should I use the Implementation Planner?

Use this skill immediately after feature research is complete but before you start writing code to ensure a structured and efficient execution workflow.

Can this skill help with team collaboration?

Yes, it specifically identifies parallelizable tasks and creates clear dependency maps, making it easy to split work across multiple developers or teams.

Implementation Planner

Name: Implementation Planner
Author: LaizyIO

byLaizyIO

Productivity & Workflow

Generates structured, step-by-step implementation plans with dependency tracking and parallelization insights for software features.

About

The Implementation Planner skill bridges the gap between feature research and execution by transforming technical findings into actionable, checkbox-driven roadmaps. It helps developers break down complex requirements into logical phases, identify tasks that can be performed in parallel, and maintain clear visibility through systematic progress tracking. By formalizing dependencies and validation criteria for every step, it ensures that technical projects are executed with precision, whether by a solo developer or a coordinated team, while reducing the risk of architectural bottlenecks.

Key Features

Comprehensive dependency mapping between technical tasks
Built-in validation and acceptance criteria for quality assurance
0 GitHub stars
Identification of parallelizable work tracks to speed up development
Phase-based task decomposition for incremental delivery
Standardized progress tracking using Markdown checkboxes

Use Cases

Organizing a complex backend migration into manageable, testable stages
Coordinating frontend and backend development by identifying independent work streams
Creating a transparent execution roadmap for feature implementation after research

About

Key Features

Comprehensive dependency mapping between technical tasks
Built-in validation and acceptance criteria for quality assurance
0 GitHub stars
Identification of parallelizable work tracks to speed up development
Phase-based task decomposition for incremental delivery
Standardized progress tracking using Markdown checkboxes

Use Cases

Organizing a complex backend migration into manageable, testable stages
Coordinating frontend and backend development by identifying independent work streams
Creating a transparent execution roadmap for feature implementation after research