Use Dify for production agentic workflow apps
Build, test, and operate agentic workflow apps in Dify when an operator needs a governed path from prototype to production.
npx skills add agentskillexchange/skills --skill use-dify-for-production-agentic-workflow-apps
Use Dify when the job is to stand up a production-oriented LLM app or agent workflow with a visual workflow canvas, RAG pipeline, model management, observability, and deployment controls in one operator surface. A user should invoke this instead of using Dify normally when an agent needs to create or review a concrete workflow: connect knowledge and tools, test prompts and branches, inspect production behavior, and hand back a deployable app plan. The boundary is agentic workflow-app buildout and operations, not a generic listing for the whole Dify platform or every LLM application feature it offers.
What this skill actually does
Inputs and prerequisites: Docker, Docker Compose, Dify workspace, model provider credentials, optional observability integrations.
Setup notes: Clone the repository, enter `dify/docker`, copy `.env.example` to `.env`, run `docker compose up -d`, then open `http://localhost/install` to initialize the Dify dashboard.
Source and verification boundary: use https://docs.dify.ai as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.