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JetXu-LLM/smallest-complete

A Codex and ChatGPT Skill that helps agents avoid scope creep and overengineering—finish the ask, prove it works, and keep software architecture clear.

MIT GitHub ↗

★ 6

stars

AI relevance

solo dev

tool sigs

GitHub Topics

#agent-skills #ai-agents #chatgpt #codex #overengineering #prompt-engineering #scope-creep #software-architecture #yagni #agentic-coding #coding-agents

Why this is classified AI-related

The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology

Repository name no match

Description +25 matched: codex

GitHub topics +25 matched: ai

README head +20 (derived from the score — README text is not stored)

Total AI relevance score: 70 / 100

Owner

Account

JetXu-LLM

Type

User

Followers

Systemizing Vibe Coding through AI Harnessing Engineering. Creator of DocMason & LlamaPReview. Turning complex knowledge into reliable context for AI.

Dates

Created on GitHub	2026-08-03
Last push	2026-08-06
First seen here	2026-08-03
Last fetched	2026-08-14 16:23