logic-thinker

Analyze system logic to surface strengths, weaknesses, and recommendations.

Updated Dec 13, 2025
One-click install
npx skills add https://github.com/Posteriot/makalah-app --skill logic-thinker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: logic-thinker
Source: https://github.com/Posteriot/makalah-app/tree/main/.codex/skills/project/logic-thinker
Command: npx skills add https://github.com/Posteriot/makalah-app --skill logic-thinker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Logic Thinker removes guesswork from architectural and feature reviews by diving into code structure, decision points, and dependency flow to expose strengths, weaknesses, and strategic improvement paths without altering runtime artifacts.

Core Features & Use Cases

  • Structured logic extraction: Scripts recommend deterministic scans plus manual review to understand entry points, data flow, and control paths in existing Next.js projects.
  • Risk and rubric evaluation: The bundled rubric steers assessments across architecture, performance, security, reliability, and test coverage, ensuring every claim is traceable to source files or script output.
  • Decision-focused recommendation: After analyzing dependencies and call graphs, the Skill delivers a single best recommendation with trade-offs, evidence, and effort estimates tailored to planning or system retrospectives.

Quick Start

Ask logic-thinker to review the checkout flow logic for strengths, risks, and a best recommendation.

Frequently Asked Questions about logic-thinker

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

FAQPage Schema
How do I perform a static risk assessment of my code architecture?

Static risk assessment evaluates code architecture, data flows, and dependencies using read-only inspection. A bundled rubric steers assessments across performance, security, reliability, and test coverage, ensuring claims trace back to source files.

How does rubric-driven logic analysis work for system reviews?

Rubric-driven logic analysis works by applying a structured evaluation framework across architecture, performance, and security. It extracts control paths and decision points, mapping strengths and weaknesses directly to evidence from source files or script output.

What is the best way to get actionable recommendations from a code review?

Actionable recommendations from a code review require analyzing dependency flows and call graphs to deliver a single best decision. This includes documented trade-offs, evidence, and effort estimates tailored to planning or system retrospectives.

Can I use static inspection scripts to evaluate a Next.js project checkout flow?

Static inspection scripts can evaluate a Next.js project checkout flow by performing deterministic scans alongside manual review. This read-only process surfaces entry points, control paths, and architectural risks without altering runtime artifacts.

What are the limitations of read-only logic analysis for system planning?

Read-only logic analysis limitations include the inability to alter runtime artifacts or execute dynamic tests. It restricts evaluation to static code structure and dependency flows, meaning runtime performance issues may remain undetected.