zthink

Surface assumptions, control scope, and verify goals before code changes.

Updated Jul 29, 2026
One-click install
npx skills add https://github.com/2lab-ai/soma-work --skill zthink
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zthink
Source: https://github.com/2lab-ai/soma-work/tree/main/src/local/skills/zthink
Command: npx skills add https://github.com/2lab-ai/soma-work --skill zthink

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps in reducing common LLM coding mistakes by ensuring assumptions are explicitly stated, scope is controlled, and goals are verified before making any code changes.

Core Features & Use Cases

  • Assumption Surfacing: Explicitly states assumptions before any coding, preventing potential issues.
  • Scope Control: Helps in keeping the scope of changes minimal and focused.
  • Goal Verification: Ensures that the final outcome meets the intended goal.
  • Use Case: Ideal for situations where a developer wants to ensure that code changes are well-considered and meet the necessary requirements.

Quick Start

Trigger the zthink Skill before making any code changes to get an intent memo and follow the structured process.

Frequently Asked Questions about zthink

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

FAQPage Schema
How do I reduce LLM coding mistakes during code generation?

Reduce LLM coding mistakes by enforcing assumption surfacing, scope control, and goal verification before applying code modifications. This structured pre-code planning approach ensures a deliberate and thoughtful coding process.

What is assumption surfacing in pre-code planning?

Assumption surfacing is a pre-code planning technique that requires explicitly stating assumptions before any coding begins. This practice prevents potential issues by ensuring the language model's baseline understanding aligns with the developer's intent.

How do I enforce scope control when modifying code with an LLM?

Enforce scope control by generating an intention memo and applying structured goal verification before modifications. This keeps the scope of changes minimal and focused, preventing unintended edits during code reviews and optimizations.

Do I need external libraries to verify LLM code generation goals?

No, you do not need external libraries to verify LLM code generation goals. This coding discipline and goal verification process operates independently without requiring any external dependencies or library installations.

When should I apply intention memos for code reviews and optimizations?

Apply intention memos for code reviews and optimizations whenever you need to ensure changes are well-considered. They are ideal for situations requiring strict goal verification and minimal scope deviation before finalizing modifications.

What is the best way to structure pre-code planning for AI code modifications?

The best way to structure pre-code planning for AI code modifications is to trigger a structured thinking process that surfaces assumptions and controls scope. This ensures the final outcome meets the intended goal through deliberate verification.