synthesis-code-planning

Plan code tasks by evaluating multiple approaches before implementation.

15|2|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/synthesisengineering/synthesis-skills --skill synthesis-code-planning-synthesisengineering
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: synthesis-code-planning
Source: https://github.com/synthesisengineering/synthesis-skills/tree/main/synthesis-code-planning
Command: npx skills add https://github.com/synthesisengineering/synthesis-skills --skill synthesis-code-planning-synthesisengineering

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Structured approach to code tasks that produces higher-quality implementations by evaluating multiple approaches before committing to one.

Core Features & Use Cases

  • Inputs: Gather three inputs: task description, existing code, and contextual documentation to inform planning.
  • Process: Analyze the task, generate at least two approaches with pros/cons, evaluate and select, then implement.
  • Use Case: A developer needs to decide between an implementation strategy before coding to ensure maintainability and performance.

Quick Start

Provide task description, the relevant existing code, and contextual documentation to begin planning.

Frequently Asked Questions about synthesis-code-planning

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

FAQPage Schema
How do I plan code tasks by evaluating multiple implementation approaches?

To plan code tasks, you provide a task description, existing code, and contextual documentation. The process analyzes the task, generates multiple approaches with pros and cons, evaluates them, and yields an implement-ready plan with a final recommendation.

What is the best way to decide between architecture trade-offs before starting a refactor?

Evaluating architecture trade-offs requires inputting your task description and existing code. The planning process generates at least two approaches, outlines the specific pros and cons of each, and selects the optimal path to ensure maintainability and performance.

How do I structure feature development planning to ensure high-quality implementation?

Feature development planning should follow a structured approach: analyze the task, generate multiple approaches, evaluate the trade-offs, and select the best one. This yields an implement-ready plan that guides decisions from initial analysis to final selection.

Can I use this code planning approach across different programming languages and projects?

Yes, this code planning approach applies to feature development, refactors, and architecture decisions across languages and projects. You simply supply the relevant task description, existing code, and contextual documentation to generate a tailored implementation plan.

What inputs do I need to generate an implement-ready plan for a new feature?

You need three inputs to generate an implement-ready plan: a clear task description, the relevant existing code, and contextual documentation. These inform the analysis and enable the generation of multiple approaches with evaluated trade-offs.

When should I not use a multi-approach evaluation for code planning?

Multi-approach evaluation is designed for complex feature development, refactors, and architecture decisions. If a task is trivial or requires immediate, single-path execution, generating multiple approaches with trade-offs may add unnecessary overhead to the planning process.