pikes-filter

Evaluate source code against Rob Pike's five principles and output a structured review report.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/TeamSPWK/nova-algorithm --skill pikes-filter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pikes-filter
Source: https://github.com/TeamSPWK/nova-algorithm/tree/main/skills/pikes-filter
Command: npx skills add https://github.com/TeamSPWK/nova-algorithm --skill pikes-filter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates objective evaluation of code against Rob Pike's five principles to surface inefficiencies and design flaws without subjective bias.

Core Features & Use Cases

  • Automated Pike's five-principles assessment across languages and project sizes.
  • Structured output designed for downstream AI pipelines, enabling automated refactoring suggestions.
  • Real-world use: analyze a module to identify premature optimization and complexity hotspots, then propose targeted improvements.

Quick Start

Provide an objective Pike's Five Principles evaluation of the given code and output a structured, machine-parseable report.

Frequently Asked Questions about pikes-filter

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

FAQPage Schema
How do I automate code reviews using Rob Pike's principles?

Automate code reviews using Rob Pike's principles by evaluating source code against the five rules to surface inefficiencies and design flaws. This generates a structured, actionable report covering readability, performance, and maintainability without subjective bias.

What is the best way to analyze code complexity and refactoring opportunities?

Analyze code complexity and refactoring opportunities by diagnosing violations of Rob Pike's five principles. The process outputs a standardized report including a Complexity Analysis and Data Driven Refactoring section to propose targeted improvements.

Can I use static analysis to identify premature optimization in any programming language?

Yes, you can apply this static analysis to standalone functions, modules, or small codebases in any language. It evaluates the source code to identify premature optimization and complexity hotspots without requiring external dependencies beyond the local environment.

How do I generate a machine-parseable report for downstream AI refactoring pipelines?

Generate a machine-parseable report for downstream AI pipelines by requesting an objective evaluation of your code against Pike's five principles. The output is a structured report featuring Rule Violation, Complexity Analysis, and Data Driven Refactoring sections.

Does this code review approach work for large enterprise codebases?

This code review approach is designed for standalone functions, modules, or small codebases rather than large enterprise codebases. It focuses on diagnosing design flaws and inefficiencies within these smaller scopes to provide actionable refactoring suggestions.