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Guides designing AI for predictable behavior across sessions, topics, modalities, edge cases, and updates. Covers specs, golden responses, regression testing, and metrics.
How this skill is triggered — by the user, by Claude, or both
Slash command
/system-behavior-shaping:behavioral-consistencyThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Users build mental models of how the AI behaves. Consistency is what makes those models reliable. Inconsistency — even if each individual response is good — erodes trust.
Users build mental models of how the AI behaves. Consistency is what makes those models reliable. Inconsistency — even if each individual response is good — erodes trust.
Consistency doesn't mean rigidity. The AI should adapt to:
npx claudepluginhub owl-listener/ai-design-skills --plugin system-behavior-shapingGuides designing informed consent, opt-out options, and human override mechanisms for AI products using data or taking actions.
Architects AI personas defining character traits, voice guidelines, behavioral rules, boundaries, anti-patterns, and documentation for consistent AI products.
Designs, tests, compares, versions, and validates prompts or LLM behavior using measurable criteria and datasets. Useful when evaluating prompt quality, edge cases, and deployment readiness.