Workflow

A Skill is a modular encapsulation that packages specialized capabilities, domain knowledge, and operational norms into reusable units, enabling Agents to invoke them automatically at the appropriate moment.

Workflows in Dify are a stateless task orchestration mode suitable for one-time input-output tasks such as document summarization, data analysis, and batch content generation.

An AI video workflow refers to a standardized production process that connects multiple AI generation tools such as Runway, Kling, and Jimeng with traditional post-production stages according to specific logic.

A workflow chains multiple steps into an ordered process, suitable for scenarios where task logic is fixed and predictable.

The role of a workflow is to break down complex tasks into controllable steps.

In RAG scenarios, an Agent can determine whether retrieval is needed, which knowledge base to retrieve from, and whether multiple rounds of retrieval or external tool calls are required, while a workflow orchestrates multiple steps into a directed graph supporting conditional branching, parallel processing, and loop iteration.

A well-designed single agent is often far superior in cost and latency to a loosely structured multi-agent system while delivering comparable task performance; a multi-agent architecture is only worth introducing when the task genuinely requires division of labor and collaboration.

A workflow chains multi-step tasks into an automated process that can be executed repeatedly.

In terms of Agent strategy selection, empirical testing shows that ReAct is more stable than Function Calling, especially with stronger fault tolerance in complex multi-step, multi-tool collaborative tasks.

A workflow in N8N usually contains three types of nodes: trigger nodes, processing nodes, and output nodes.

Dify's workflow orchestration adopts a Directed Acyclic Graph (DAG) structure, defining data flow logic by connecting nodes with lines.

A workflow is a set of processes connected in a predefined sequence to accomplish a specific goal, representing orchestration rather than intelligence.

Common problems include: placeholders not filled in, dates or numbers being rejected, a private workflow not being found (the key's organization does not match), a new version failing to save due to a missing changelog, and code execution not being enabled for generating Office files.

The core components of a workflow include: Prompt (task statement), Variables, Research strategy, Report format, Deliverable, Tools, and Version.

An n8n workflow consists of a series of steps, and each workflow requires a trigger condition (such as a new email arriving, a form submission, or an application state change); once triggered, the defined subsequent actions execute automatically in sequence.

The essence of a workflow is to chain multiple steps, tools, and decision logic into a single automatically executable pipeline, which determines whether an agent can complete complex tasks in a stable and controlled manner.

The logic of workflow platforms is more deterministic, more controllable, and easier to troubleshoot than the autonomous path-planning of general-purpose Agents, making them more favored by enterprise users.

The core concept of platform-built agents is Workflow, which breaks complex tasks down into a number of fixed steps.

Workflows are designed by dragging and connecting nodes to break complex tasks into steps; the key lies not in the nodes themselves but in the execution logic and conditional judgments between nodes (what to do first, and what conditions must be met before proceeding).

Coze supports workflow design, and both agents and AI applications can embed conversational flows or standard workflows internally.