Review software architectures for extensibility and prioritized recommendations.
npx skills add https://github.com/shuymn/skills --skill extensible-by-design
Please help me install this Agent Skill. Skill: extensible-by-design Source: https://github.com/shuymn/skills/tree/main/skills/extensible-by-design Command: npx skills add https://github.com/shuymn/skills --skill extensible-by-design
This Skill helps you design and review software so that AI agents and humans can extend it over time without bloating the core product or hardcoding judgment into the runtime.
Ask for an extensibility review of your system and provide the architecture, current extension points, and any constraints on core behavior.
High-intent search queries and answers about installing and using this skill.
Negative space in software architecture identifies what the system explicitly leaves undefined, separating the minimal core from extension surfaces. It prevents hardcoded judgment in the runtime and keeps AI-native software systems extensible over time.
Design extensible AI-native software architectures by identifying core boundaries, defining hook placements, and scoping configuration. Establish separate execution and instruction planes to support on-demand context loading and self-modification loops without hardcoding runtime judgment.
Use hooks versus configuration based on whether the core needs dynamic behavioral injection or static parameter tuning. Extensibility reviews score these decisions to separate the minimal core from external extensions and playbooks.
Yes, this approach works for both greenfield product design and existing subsystem architecture review. It applies decision lenses to score extensibility principles, evaluating hook placement, configuration scoping, and self-modification loops across new and legacy systems.
Hardcoded runtime judgment limits extensible systems by preventing AI agents and humans from adapting behavior without modifying the core product. It blocks the separation of execution and instruction planes, restricting self-modification loops and on-demand context loading.
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