菜单
Plan, reason, and verify across multiple levels using multi-step reasoning, tree-of-thought, and structured agent workflows.
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基于 SOC 职业分类
Detect and repair security vulnerabilities or operational errors in the agent's own code and environment without manual intervention.
Generate and apply complete design systems from text descriptions or visual examples using AI and modern tooling.
Adapt user interfaces automatically based on device, viewport, user preferences, and contextual signals.
Build and query knowledge graphs automatically to capture relationships between entities, concepts, and project artifacts.
Run agent tasks in isolated, sandboxed environments to prevent malicious or untrusted code from affecting the host system.
Store, retrieve, and evolve contextual and procedural knowledge using vector search, memory layers, and active forgetting.
| name | advanced-cognitive-architecture |
| description | Plan, reason, and verify across multiple levels using multi-step reasoning, tree-of-thought, and structured agent workflows. |
Category: Agent Intelligence Priority: High
This skill equips DevinOS with structured reasoning capabilities: multi-step planning, tree-of-thought exploration, assumption verification, and learning from mistakes. It helps the agent break complex problems into manageable reasoning chains and choose better actions.
To make DevinOS a stronger problem solver by replacing shallow, single-step responses with deliberate, verifiable reasoning for complex engineering, design, and debugging tasks.
Use this skill when:
User Input: "We need a real-time chat backend that supports 10k concurrent users. Should we use PostgreSQL, Redis, or a message queue?"
Agent Action:
User Input: "How do I handle 10k concurrent users?"
Agent Action:
