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Skill

ai-senior-guide

by menesekinci

AI Summary

A production-grade engineering knowledge base that guides AI assistants through a 5-step cognitive protocol to prevent silent failures in AI-generated code. Developers using AI coding tools benefit from structured thinking patterns, architectural best practices, and systemic design considerations.

Install

Copy this and paste it into Claude Code, Cursor, or any AI assistant:

I want to install the "ai-senior-guide" skill in my project.

Please run this command in my terminal:
# Install skill into the correct directory
mkdir -p .claude/skills/ai-senior-guide && curl --retry 3 --retry-delay 2 --retry-all-errors -o .claude/skills/ai-senior-guide/SKILL.md "https://raw.githubusercontent.com/menesekinci/ai-senior-guide/main/skill.md"

Then restart Claude Code (or reload the window in Cursor) so the skill is picked up.

Description

Engineering knowledge base for AI-assisted software development

Practical Examples

Example 1: Todo App ` ❌ OVER-ENGINEERED: • Kubernetes deployment • Microservices (AuthService, TodoService, UserService) • Redis caching • CQRS pattern • Event sourcing ✅ RIGHT-SIZED: • Single monolithic app • SQLite database • In-memory session storage • Simple REST API ` Example 2: E-commerce MVP ` ❌ OVER-ENGINEERED: • Event-driven architecture • Distributed transaction saga pattern • Multi-region deployment • ML-powered recommendation engine ✅ RIGHT-SIZED: • Monolithic architecture • PostgreSQL database • Basic caching • Simple collaborative filtering `

AI Knowledge Skill

> Production-grade engineering standards for AI-assisted software development This skill provides access to a comprehensive engineering knowledge base designed to prevent "silent failures" in AI-generated code. It contains battle-tested architectural patterns, security guidelines, database concurrency best practices, and performance optimization strategies. Critical Problem Addressed: 40-45% of AI-generated code contains silent failures that traditional testing cannot catch. ---

🧠 COGNITIVE PROTOCOL (The 5-Step Deep Thinking)

> Execute BEFORE generating any code or solution Before implementing features, you MUST internally process these 5 strategic questions. This transforms you from a "code writer" to a "software architect."

Step 1: Intent Analysis ("What & Why")

• Question: What exactly is the user asking for, and what is the business value? • Action: Identify the core requirement vs. the underlying need • Example: "User needs login" → "Business needs secure identity management"

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Health Signals

MaintenanceCommitted 2mo ago
Active
AdoptionUnder 100 stars
0 ★ · Niche
DocsMissing or thin
Undocumented

GitHub Signals

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Updated2mo ago
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