skills.rest
maltemd
maltemdCOMMUNITY
Explore all skills by this author →
GitHub

designing-agent-workflows

Design multi-step agent workflows with goals, decision points, and failure handling.

Updated Feb 26, 2026
Search Tags:#automation#workflow#agent#decision tree#orchestration#state machine
One-click install
npx skills add https://github.com/maltemd/hoover-content-design-system --skill designing-agent-workflows-maltemd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: designing-agent-workflows
Source: https://github.com/maltemd/hoover-content-design-system/tree/main/skills/mcp-and-agents/designing-agent-workflows
Command: npx skills add https://github.com/maltemd/hoover-content-design-system --skill designing-agent-workflows-maltemd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you design and document multi-step workflows that orchestrate agent actions to achieve complex goals, ensuring clarity and predictability in autonomous operations.

Core Features & Use Cases

  • Workflow Design: Define clear goals, success criteria, and step-by-step processes for agents.
  • Decision Logic: Map out decision points and branching conditions for dynamic task execution.
  • State Management: Track and manage state variables across workflow steps.
  • Failure Handling: Implement robust strategies for handling errors and ensuring workflow resilience.
  • Use Case: Design a workflow for an agent to research a topic, summarize findings, and draft a report, including steps for data gathering, analysis, and human review.

Quick Start

Design an agent workflow to refactor a function, including steps for identification, testing, refactoring, and validation.

Frequently Asked Questions about designing-agent-workflows

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

FAQPage Schema
How do I design a multi-step workflow for orchestrating autonomous agent actions?▼

Designing agent orchestration involves mapping explicit workflow goals, success criteria, step sequences, decision points, state tracking, and failure handling to ensure predictable autonomous task execution.

What is a decision tree in agent workflow orchestration?▼

Decision trees in agent orchestration map branching conditions and decision points, enabling autonomous agents to dynamically select task execution paths based on real-time state variables.

How do I implement state management and failure handling for autonomous agent state machines?▼

Implement state management by tracking variables across workflow steps, and ensure workflow resilience by defining explicit failure handling strategies that govern error recovery during autonomous operations.

Can I use this approach to plan an agent task sequence for research and report drafting?▼

Yes, you can design workflows for agents to research, summarize, and draft reports by defining sequential steps for data gathering, analysis, and human review, including specific decision points and success criteria.

What's the best way to structure a refactoring workflow for an autonomous agent?▼

Structure a refactoring workflow by defining sequential steps for function identification, testing, refactoring, and validation, ensuring each step has clear success criteria and state tracking for reliable autonomous execution.

Related Skills

Explore More Software Engineering Skills→
jeremydhoover-blipjeremydhoover-blip
7

designing-agent-workflows

Design multi-step agent workflows with decision trees and state machines.

Community
Advanced
skogaiskogai

grilling

Interview users one question at a time to stress-test plans against local files.

Official
Intermediate
ianyimiianyimi
1

Global Tech Stack

Enforce coding standards for the global tech stack in Claude Code.

Community
Basic
AcosmiAcosmi
6

autonomous-planning

Analyze intent, query capability trees, generate plans, and execute multi-step tasks.

Community
Advanced