Routes AI development questions to focused references on agents, language model security, retrieval-augmented generation, which uses retrieved information in answers, and prompt design and evaluation. It also outlines principles for validation, safety boundaries, version control, and ongoing assessment.
AI/LLM 能力索引。Agent 开发、LLM 安全、RAG 系统。当用户提到 AI、LLM、Agent、RAG、Prompt 时路由到此。
Review the instructions the agent will receive before you install.
| Skill | 定位 | 核心能力 |
|---|---|---|
| agent-dev | Agent 开发 | 多 Agent 编排、工具调用、RAG |
| llm-security | LLM 安全 | Prompt 注入、越狱防护、输出安全 |
| rag-system | RAG 系统 | 向量数据库、检索策略、重排算法 |
| prompt-and-eval | Prompt 工程与模型评估 | Few-shot、CoT、ReAct、RAGAS、LLM-as-Judge |
设计原则:
- 人机协作，AI 增强而非替代
- 可解释性优先
- 安全边界明确
- 渐进式自主
开发原则:
- Prompt 即代码，需版本控制
- 输入输出都需验证
- 成本与效果平衡
- 持续评估与迭代
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