Install
$ agentstack add skill-boshi-xixixi-agenticflow-skills-08-ai-engineer ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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)](./RAG实现.md)
- 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)](./LangChain架构.md)
- 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。"
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: boshi-xixixi
- Source: boshi-xixixi/agenticflow-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.