Translates organizational values and user expectations into concrete, testable rules, hierarchies, and constraints for AI systems. Useful for AI design and ethics alignment.
npx claudepluginhub owl-listener/ai-design-skills --plugin ai-alignment-reasoningThis skill uses the workspace's default tool permissions.
Values are abstract. AI systems need concrete rules. Value specification is the design work of translating organisational principles and user expectations into implementable constraints.
Conducts ethics reviews for AI and technology projects including ethical impact assessments, stakeholder analysis, and mitigation planning. Use for evaluating risks and harms.
Creates actionable alignment frameworks for teams: North Star direction, values guardrails, decision tenets behaviors. Useful for starting teams, scaling orgs, defining culture, resolving misalignment.
Guides human architect mindset for domain modeling, systems thinking, constraint navigation, AI-aware decomposition. Use for architectural decisions, system design, multi-component planning.
Share bugs, ideas, or general feedback.
Values are abstract. AI systems need concrete rules. Value specification is the design work of translating organisational principles and user expectations into implementable constraints.
Organisations say things like "be helpful" and "be responsible." These are useless as system constraints because they conflict:
Not all values are equal. Establish a hierarchy:
For each value, derive concrete rules:
Different stakeholders have different value priorities: