soda-plan

Generates structured software implementation plans with task classification and risk assessment.

Updated Jan 31, 2026

Search Tags:#planning #task management #development workflow #AI assistant #code generation #sub-agents

Ready to run

npx skills add https://github.com/whatasoda/agent-extensions --skill soda-plan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: soda-plan
Source: https://github.com/whatasoda/agent-extensions/tree/main/plugins/dev-workflow/skills/soda-plan
Command: npx skills add https://github.com/whatasoda/agent-extensions --skill soda-plan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of detailed implementation plans, ensuring a structured and efficient development workflow by leveraging AI for investigation and planning.

Core Features & Use Cases

Automated Planning: Generates comprehensive implementation plans based on task descriptions.
Sub-agent Integration: Utilizes specialized sub-agents for code surveying and focused investigation.
Design Review: Incorporates design decisions directly into the plan for user approval.
Use Case: When tasked with implementing a new feature, use this Skill to automatically generate a step-by-step plan, including commit strategies, potential risks, and necessary code changes, before starting development.

Quick Start

Use the soda-plan skill to create a detailed implementation plan for migrating to a design that considers HMR and live reload.

Frequently Asked Questions about soda-plan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate a structured implementation plan for a new software feature?▼

Generate a structured implementation plan by providing a task description to an AI assistant, which surveys code via sub-agents and outputs a step-by-step plan with commit strategies, risks, and necessary code changes for approval.

What is the best way to break down large development tasks for parallel execution?▼

Break down large development tasks by classifying task scale into S, M, or L sizes, allowing the planning system to optimize sub-agent utilization and group specific tasks for parallel execution.

How does AI task management handle design decisions during the planning phase?▼

AI task management handles design decisions by incorporating design callouts directly into the generated plan, ensuring users can review and approve critical architectural choices before development begins.

Can I use sub-agents to investigate code before writing an implementation plan?▼

You can use specialized sub-agents to survey existing code and conduct focused investigation, feeding the gathered context into an AI-driven plan mode framework to structure your development workflow.

Does automated planning support incremental commits for complex code changes?▼

Automated planning supports incremental commits by mapping out specific commit strategies within the generated plan, allowing you to safely stage complex code changes throughout the development workflow.