code-quality-foundations — code-quality-foundations install code-quality-foundations, code-spice, community, code-quality-foundations install, ide skills, code-quality-foundations for robust code, code-quality-foundations for adaptable code, code-quality-foundations for maintainable code, Claude Code, Cursor, Windsurf

Name: code-quality-foundations
Availability: InStock
Author: smileynet

v1.0.0

Ideal for Code Review Agents seeking to enforce high-quality coding standards and best practices. Code-quality-foundations is a set of principles and guidelines for writing high-quality code that achieves four key goals: it works, it keeps working, it's adaptable, and it meets requirements.

Achieves the goal of 'it works' by solving problems correctly and handling edge cases

Ensures code 'keeps working' by surviving changes and avoiding brittle dependencies

Enables adaptability by allowing requirements to change without a rewrite

Avoids rigid coupling, over-engineering, and hardcoded assumptions

# Core Topics

code-quality-foundations install code-quality-foundations for robust code code-quality-foundations for adaptable code code-quality-foundations for maintainable code

smileynet

[0]

Updated: 3/8/2026

GitHub

Agent Capability Analysis

The code-quality-foundations skill by smileynet is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for code-quality-foundations install, code-quality-foundations for robust code, code-quality-foundations for adaptable code.

Ideal Agent Persona

Ideal for Code Review Agents seeking to enforce high-quality coding standards and best practices.

Core Value

Empowers agents to evaluate code against four key goals: it works, it keeps working, it's adaptable, and meets requirements, ensuring robustness and maintainability through rigorous testing and modular design.

↓ Capabilities Granted for code-quality-foundations

Automating code reviews for adherence to quality foundations

Generating test suites to ensure code works and keeps working

Debugging brittle dependencies and hidden assumptions in legacy code

! Prerequisites & Limits

Requires comprehensive codebase access
May necessitate additional testing frameworks and tools

Labs Demo

Browser Sandbox Environment

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code-quality-foundations

Install code-quality-foundations, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command...

SKILL.md

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Code Quality Foundations

The Four Goals of High-Quality Code

Goal	Question to Ask	Failure Mode
It works	Does it solve the problem correctly?	Bugs, unhandled edge cases, unmet requirements
It keeps working	Will it survive changes around it?	Brittle dependencies, no tests, hidden assumptions
It's adaptable	Can requirements change without a rewrite?	Rigid coupling, over-engineering, hardcoded assumptions
It doesn't reinvent the wheel	Are we reusing proven solutions?	Custom code for solved problems, duplicated effort

The Six Pillars of Code Quality

Pillar	What It Means	Key Technique
Readable	Other engineers can understand it quickly	Descriptive names, clean layers, consistent style
No surprises	Behavior matches expectations (POLA)	Explicit contracts, no magic values, no hidden side effects
Hard to misuse	Difficult to use incorrectly	Type safety, immutability, validated construction
Modular	Components can be swapped independently	Interfaces, DI, separation of concerns, cohesion
Reusable & generalizable	Solves problems broadly, not just one case	Focused parameters, generics, avoiding assumptions
Testable	Can be verified in isolation	Modularity enables testability; design for it from the start

POLA = Principle of Least Astonishment. If a function does something a reasonable caller wouldn't expect, it's a bug in the design, even if it "works."

Modern Additions (2024-2026 Industry Consensus)

Concern	Why It's Now Explicit	Original Coverage
Secure	Shift-left security; threat model at design time	Implicit in "works"
Efficient	Resource optimization is a design choice, not afterthought	Subsumed under "works"
Reliable	Explicit error recovery and graceful degradation	Subsumed under "keeps working"

Decision Tables

"Should I Abstract This?"

Signal	Action
Same logic appears in 2+ places	Extract to shared function/class
Function can't be described in one sentence	Split into smaller functions
Class has method groups that use different fields	Consider splitting into separate classes
Changing one feature requires touching many files	Improve modularity and layer boundaries
Only one use case exists	Wait — don't abstract prematurely

"Where Should I Invest Quality Effort?"

Situation	Focus On	Rationale
Greenfield project	Modularity, clean interfaces	Foundation decisions compound; structure early
Legacy codebase	Testing, readability	Understand before changing safely
High-traffic service	Reliability, efficiency, testing	Production failures are expensive
Prototype / spike	Working code, speed	Validate the idea; plan to rewrite
Shared library / API	Hard to misuse, no surprises	You can't predict how consumers will use it
Security-sensitive code	Security, testability	Breaches are catastrophic and trust-destroying

Checklists

Before Writing Code

Problem clearly understood (requirements, constraints, edge cases)
Existing solutions checked (libraries, shared code, prior art)
Testing strategy considered (how will this be verified?)
Key tradeoffs identified (what are we choosing, and what are we giving up?)

Code Quality Self-Review

Functions translate to single sentences
No surprises: behavior matches names and types
Hard to misuse: invalid states are unrepresentable where possible
Modular: changes are localized, not scattered
Testable: can be unit tested without complex setup
Clean abstractions: API doesn't leak implementation details

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is code-quality-foundations?

How do I install code-quality-foundations?

Run the command: npx killer-skills add smileynet/code-spice. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for code-quality-foundations?

Key use cases include: Automating code reviews for adherence to quality foundations, Generating test suites to ensure code works and keeps working, Debugging brittle dependencies and hidden assumptions in legacy code.

Which IDEs are compatible with code-quality-foundations?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for code-quality-foundations?

Requires comprehensive codebase access. May necessitate additional testing frameworks and tools.

↓ How To Install

1. Open your terminal

Open the terminal or command line in your project directory.
2. Run the install command

Run: npx killer-skills add smileynet/code-spice. The CLI will automatically detect your IDE or AI agent and configure the skill.
3. Start using the skill

The skill is now active. Your AI agent can use code-quality-foundations immediately in the current project.

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