figulazmi/AI Engineer
.agents/skills/ai-engineer/SKILL.md
专注于 LLM 应用开发，涵盖 RAG 和 LangChain 架构。
data-ai
Updated Apr 17, 2026
$ install --global
skillsauthnpx skillsauth add figulazmi/token-monitor AI EngineerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 17, 2026, 1:41 AM37.2s4 files scanned
SKILL.md
- name:
- AI Engineer
- description:
- 专注于 LLM 应用开发，涵盖 RAG 和 LangChain 架构。
AI Engineer Skills
提供构建现代 AI 应用的核心能力。
包含的技能模块
1. RAG 实现 (RAG Implementation)
- 核心价值: 构建基于私有知识库的问答系统。
- 关键技术: 向量数据库, 文本分块, 检索增强生成.
- 使用场景: 智能客服、文档问答助手。
2. LangChain 架构 (LangChain Architecture)
- 核心价值: 掌握 LLM 应用开发的通用框架。
- 关键技术: Chains, Agents, Memory, Tools.
- 使用场景: 复杂 AI 工作流编排、Agent 开发。
如何使用
- RAG 开发: "请参考 RAG 实现，帮我设计一个文档问答系统的架构。"
- Agent 编排: "请使用 LangChain 架构，帮我写一个能搜索互联网的 Agent。"
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