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coding-guidelines

Enforce minimal, well-scoped coding changes with explicit reasoning and traceable steps.

5.0k|454|Updated Jan 19, 2026
Search Tags:#refactoring#LLM#coding#goals#guidelines#code-review#surgical-changes
One-click install
npx skills add https://github.com/tech-leads-club/agent-skills --skill coding-guidelines-tech-leads-club
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coding-guidelines
Source: https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/%28development%29/coding-guidelines
Command: npx skills add https://github.com/tech-leads-club/agent-skills --skill coding-guidelines-tech-leads-club

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enforces best-practice coding guidelines to reduce common LLM coding mistakes during software tasks.

Core Features & Use Cases

  • Think Before Coding: explicitly surface assumptions, trade-offs, and questions before implementing.
  • Simplicity First: require minimal, well-scoped changes with no unnecessary abstractions.
  • Surgical Changes: modify only the necessary code without altering unrelated parts.
  • Goal-Driven Execution: define verifiable outcomes and iterate until criteria are met.
  • Use Case: when asked to implement a feature, apply these guidelines to produce a safe, concise patch and a justification.

Quick Start

Provide the current coding task and ask the AI to apply coding guidelines to produce a minimal, well-justified change.

Frequently Asked Questions about coding-guidelines

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

FAQPage Schema
How do I prevent LLMs from making unnecessary code changes during refactoring?▼

To prevent unnecessary LLM code changes during refactoring, enforce surgical edits that modify only the necessary code without altering unrelated parts. This approach requires minimal, well-scoped changes with no extra abstractions.

What is the best way to ensure AI-generated code is safe and testable?▼

The best way to ensure safe, testable AI-generated code is to enforce plan-driven execution. This requires the AI to surface assumptions, define verifiable outcomes, and iterate until those specific criteria are met.

How do I apply minimal coding guidelines to AI bug fixes?▼

To apply minimal coding guidelines to AI bug fixes, provide the current coding task and ask the AI to produce a concise patch. The AI must deliver traceable steps and provide a justification for the safe edit.

Does this coding guidelines approach work for general code review tasks?▼

Yes, this coding guidelines approach works for code review tasks across software projects. It guides the AI to explicitly think before coding, evaluate trade-offs, and ensure any surgical changes are well-justified.

Why does my AI coding assistant overcomplicate simple feature implementations?▼

AI coding assistants overcomplicate feature implementations when simplicity-first guidelines are absent. Requiring explicit thinking, minimal scope, and traceable steps forces the AI to avoid unnecessary abstractions and deliver safe edits.

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