agno-workflow

Create and execute sequential agent pipelines with Agno Workflow and Step classes.

4|Updated Feb 19, 2026

Search Tags:#automation #workflow #agent orchestration #pipeline #agno #sequential execution

Ready to run

npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-workflow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agno-workflow
Source: https://github.com/ajshedivy/agno-cookbook/tree/main/plugins/agno-framework/skills/agno-workflow
Command: npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex tasks by orchestrating multiple agents in a defined sequence, ensuring predictable and repeatable execution of multi-step processes.

Core Features & Use Cases

Sequential Agent Chaining: Define and execute pipelines where the output of one agent feeds into the next.
Structured Process Automation: Ideal for tasks like content creation pipelines (research, write, edit) or data processing (extract, validate, load).
Use Case: Automate a content generation process by having one agent research a topic, a second agent write an article based on the research, and a third agent edit the article for clarity.

Quick Start

Use the agno-workflow skill to create a research pipeline with three steps: data gathering, analysis, and report writing.

Frequently Asked Questions about agno-workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build a sequential agent pipeline for multi-stage content generation?▼

You can build a sequential agent pipeline by defining Step classes for each stage, ensuring the output of one agent feeds directly into the next. This structured automation supports multi-stage processes like content generation and data processing.

What is sequential agent chaining and how does it structure process automation?▼

Sequential agent chaining is the process of connecting multiple agents in a defined sequence to execute multi-step tasks predictably. It ensures repeatable execution by passing the output of one agent directly into the next step.

Do I need Python and the Agno framework to define agent roles in a workflow?▼

Yes, you need Python programming and the Agno framework installed to define agent roles and workflow logic. These prerequisites allow you to utilize the Workflow and Step classes for structured automation.

Can I automate a research pipeline with sequential execution for data processing?▼

Yes, you can automate a research pipeline with sequential execution for data processing tasks like extracting, validating, and loading data. The workflow orchestrates multiple agents to handle these stages in a defined order.

What is the best way to orchestrate multiple agents for a content creation pipeline?▼

The best way to orchestrate multiple agents for a content creation pipeline is using sequential execution classes to define distinct stages. You can assign one agent to research, another to write, and a third to edit for clear process automation.

Why use sequential execution for structured automation instead of parallel processing?▼

Sequential execution is used for structured automation because it ensures predictable and repeatable execution of multi-step processes. It guarantees that the output of one agent feeds into the next, which is critical for dependent tasks like editing.