Guide code design and review to avoid speculative features and premature abstraction.
npx skills add https://github.com/JordanCoin/codingskills --skill yagni-jordancoin
Please help me install this Agent Skill. Skill: yagni Source: https://github.com/JordanCoin/codingskills/tree/main/skills/yagni Command: npx skills add https://github.com/JordanCoin/codingskills --skill yagni-jordancoin
YAGNI helps teams avoid over-engineering by preventing speculative features and unnecessary abstractions that complicate code and slow delivery.
Ask your AI to evaluate a feature request and remove any speculative abstractions to keep the implementation minimal.
High-intent search queries and answers about installing and using this skill.
Prevent over-engineering by applying rules and anti-patterns that eliminate speculative code paths and postpone unnecessary design decisions. This keeps software design minimal and focused strictly on current requirements.
Premature abstraction is generalizing code before actual needs arise. Remove it by evaluating your feature scope and stripping out speculative paths, ensuring you only build abstractions justified by concrete requirements.
Evaluate feature requests by applying a code-review checklist that filters out speculative features. This process assesses whether a request requires immediate generalization or if a simpler, direct implementation suffices.
Yes, you can integrate a code-review checklist into sprint planning to identify and prevent premature optimization. It provides practical boundaries to guide refactoring decisions and avoid delaying delivery.
You should not generalize code when facing speculative features or hypothetical future needs. Postpone design decisions until concrete requirements emerge, avoiding the anti-pattern of building for scenarios that may never occur.
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