Can this pattern be used for cloud infrastructure management?

Yes, it is specifically designed for complex domains like SRE automation (e.g., Azure AKS), where the agent must coordinate between networking, security, and orchestration tools to reach a production-ready state.

What is a goal-seeking agent?

A goal-seeking agent is an autonomous AI system that executes multi-phase objectives by focusing on the desired outcome (the 'what') rather than following a fixed set of prescriptive instructions (the 'how').

How does the agent handle complex workflows?

The agent uses a structured planning component to decompose high-level goals into distinct phases, identifies dependencies between those phases, and monitors success criteria at each step to ensure the objective is met.

When should I use the goal-seeking pattern over a traditional script?

Use this pattern when the problem space is large, runtime conditions vary, failures are expected and recoverable, or when the objective requires coordination across multiple dependent phases.

Goal-Seeking Agent Pattern

Name: Goal-Seeking Agent Pattern
Author: rysweet

byrysweet

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Productividad y Flujo de Trabajo

Guides architects in designing and implementing autonomous, multi-phase AI agents for complex task automation and resilient workflows.

The Goal-Seeking Agent Pattern skill provides a comprehensive architectural framework for building autonomous AI agents that focus on outcomes rather than rigid procedural steps. It helps developers and architects evaluate when autonomy is appropriate, how to decompose high-level natural language objectives into executable phases, and how to implement self-monitoring recovery strategies. By referencing real-world patterns like AKS SRE automation and CI diagnostics, this skill enables the creation of adaptive systems that can independently plan, execute, and course-correct in dynamic environments.

Características Principales

01Domain-Specific Reference: Utilizes proven patterns from SRE automation, CI/CD diagnostics, and adaptive fix-agents.

02Decision Framework: Includes a 5-question evaluation matrix to determine if a problem justifies an autonomous agent approach.

0320 GitHub stars

04Autonomous Recovery: Provides patterns for self-assessment and error-handling without manual intervention.

05Objective Analysis: Automatically extracts goals, constraints, and success criteria from natural language prompts.

06Multi-Phase Planning: Decomposes complex objectives into manageable phases with identified dependencies and parallel opportunities.

Casos de Uso

01Building adaptive code-refactoring agents that select different execution modes based on problem complexity.

02Designing self-healing CI/CD pipelines that autonomously diagnose and repair build failures.

03Architecting SRE agents for complex cloud infrastructure maintenance like AKS cluster optimization.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rysweet/amplihack goal-seeking-agent-pattern

For use in Claude.ai and ChatGPT

Download Skill