agentsop-dify
SOP for building LLM applications on Dify — visual workflow + chatflow + agent + RAG knowledge base + plugin marketplace + observability, self-hostable. Use when shipping LLM apps fast with a "no-code to pro-code" gradient, especially when non-engineers need to co-author the flow.
npx skills add agentsope/SkillAlchemy --skill agentsop-dify --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Dify SOP — LLM Application Platform, Visual-First with Code Escape Hatches > 框架定位: "An open-source platform for building agentic workflows" — visual workflow + RAG + agent + monitoring + deploy in one box, self-hostable. [docs.dify.ai/en/introduction], [github.com/langgenius/dify] > "Dify is the only tool that gives you data ingestion, RAG, an API, and a polished, shareable web UI in one click." [learnwithparam.com/blog/batteries-included-rag-platforms-dify-ragflow-onyx] --- ## 1. 何时激活 (When to Activate) ### 1.1 直接信号 (Direct triggers) - 用户说 "我需要个 LLM 应用 / 客服 bot / 知识库问答 / 文档处理流"，且**希望几天内交付** - 用户说 "我们在用 Dify / 自己部署了 Dify / 想自己 host LLM 平台" - 团队**有非工程师参与**编排逻辑（PM / 运营 / 业务方画 chatflow） - 需要**一站式**：模型管理 + RAG + 工具调用 + 用户访问 + API + 监控 + 评估 - 需要**多租户 / workspace 权限**（典型 SaaS / 企业内多团队场景） [blog.elest.io/dify-vs-langflow-vs-flowise] ### 1.2 反向信号 (Skip Dify when) - **高吞吐**: 单 pod ~10 QPS 上限，每个 workflow 节点单独打 DB [memo.d.foundation/breakdown/dify] - **实时低延迟**: workflow 引擎开销 + 同步 DB 调用，sub-second 场景不适用 - **需要 pause-and-wait-for-user**: 审批流 / 用户多步交互 → Dify workflow 不支持，issue #21455 已关 "not planned" - **纯工程团队 + 已有 LangChain/LangGraph 投入**: Dify 的可视化层成为负担而非杠杆 - **训练 / 微调 workflow**: Dify 是 infe
- 1. 何时激活 (When to Activate)
- 1.1 直接信号 (Direct triggers)
- 1.2 反向信号 (Skip Dify when)
- 1.3 心智门槛 (Mental check)
- 2. 核心心智模型 (Mental Model)
- 2.1 五层架构 (The 5-layer stack)
- 2.2 五种 App 类型 — 选哪个？
- 2.3 Graph Engine = "graphon"
- 2.4 节点目录 (Node taxonomy)
- 2.5 Plugin 系统 (五元类型)
- 2.6 Knowledge Base (RAG) 心智
- 3. SOP 工作流 (Standard Operating Procedure)
- Phase 0: 选定 App 类型 (5 分钟决策)
- Phase 1: 部署 (Deploy) — 30 分钟
git clone https://github.com/langgenius/dify cd dify/docker cp .env.example .env docker compose up -d
What does the agentsop-dify skill do?
SOP for building LLM applications on Dify — visual workflow + chatflow + agent + RAG knowledge base + plugin marketplace + observability, self-hostable. Use when shipping LLM apps fast with a "no-code to pro-code" gradient, especially when non-engineers need to co-author the flow.
How do I install it?
Run `npx skills add agentsope/SkillAlchemy --skill agentsop-dify --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From agentsope/SkillAlchemy, a repository with 255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.