菜单
Applies UX principles for clear, task-centred journeys, navigation and forms. Use when designing new screens, workflows, information architecture, or user journeys.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | ux-design-principles |
| description | Applies UX principles for clear, task-centred journeys, navigation and forms. Use when designing new screens, workflows, information architecture, or user journeys. |
| aliases | ["redesign-settings","settings-page","user-experience-design","ux"] |
Use this skill when designing or changing user journeys, task flows, forms, navigation, information architecture, workflow screens, review and approval flows, onboarding screens, or data-quality user journeys.
Create user-facing workflows that help users complete meaningful tasks with minimal cognitive load, clear feedback, visible system status, and explicit evidence for decisions.
For product-specific DataOps/MCP examples, load skills_docs/overlays/mas-dataops-mcp-overlay.md.
Governs AI models through inventory, purpose, risk tier, approval, monitoring, drift, kill-switch and retirement. Use when introducing, changing or operating models in production or agent workflows.
Applies an Asimov-inspired hierarchy of AI safety laws when material AI or instruction risk is present. Use when harm, unlawful requests, authority conflicts, or safety trade-offs need an explicit law hierarchy. Also known as apply_laws_of_AI.
Use when implementing input validation, output filtering, tool restrictions, policy enforcement, secure coding controls, destructive-tool guardrails, approval gates, or safe agent behaviour.
Use when starting a session or deciding which local skill applies; acts as the meta-skill for discovering and loading the smallest relevant skill.
Use when measuring coding-agent quality, RAG evaluation, regression risk, latency, cost, reliability, safety, or production performance for agent systems.
Designs ontology-driven knowledge graphs for explainable KG-RAG. Use when modelling semantic graphs, ontologies, or graph schemas for retrieval.
