Engineering
Skill yigityildiz0/universal-ai-skill-library/skills/common/engineering
Engineering umbrella skill for implementation, debugging, review, architecture, and technical optimization. Use when Codex should make a technically grounded, minimally scoped, verifiable change or recommendation.From its SKILL.md
npx -y skills add yigityildiz0/universal-ai-skill-library --skill engineeringAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.0 KB, 149 tokens by cl100k_base, as published. Nobody here has run it
Engineering
Classify build, debug, review, refactor, or architecture work, then route to the most relevant specialist skill.
Default checks for non-trivial work
- State material assumptions and contradictions; do not silently choose an ambiguous interpretation.
- Choose the simplest viable change that satisfies the stated acceptance criteria. Avoid speculative flexibility and one-use abstractions.
- Touch only files and behavior tied to the request. Do not “clean up” unrelated code, comments, or formatting.
- Define observable success evidence before editing and verify it afterward.
Favor evidence, small validated steps, explicit tradeoffs, and the project’s existing conventions. Do not hand-wave behavior that can be checked or hide uncertainty behind jargon.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.