OpenClaw-King-技能-扩展认知架构-用于科学LLM智能体 是做什么的？
用于科学LLM智能体的King-Skill扩展认知架构
King-Skill 扩展认知架构，用于科学领域的LLM智能体。
该技能为科学领域的LLM智能体提供了一个名为“King-Skill”的扩展认知架构。它旨在增强智能体在科学研究中的认知能力，使其能够处理复杂的科学推理、数据分析和知识整合任务。该架构支持多种LLM平台，通过模块化的方式扩展智能体的认知边界。其工作方式基于元认知和外部知识库的协同，允许科学智能体更高效地执行实验设计、文献综述和假设生成等任务，从而提升科学研究的速度和质量。
npx skills add Agnuxo1/OpenClaw-King-Skill-Extended-Cognition-Architecture-for-Scientific-LLM-Agents用于科学LLM智能体的King-Skill扩展认知架构
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".