Goal Seeking Agent Pattern
This teaches you when autonomous agents make sense versus when they're overkill. It walks through five practical questions to decide if your problem needs goal-seeking behavior: Is the path flexible? Multiple phases? Need autonomous recovery? Context-dependent? The examples are solid, pulling from real patterns like AKS SRE automation and CI diagnostics where the agent figures out what to try next instead of following a script. Honestly, the decision framework is the most useful part here. It stops you from building a complex agent system when a bash script would work fine, and recognizes when you actually need something that can adapt and recover on its own.
- skills.sh installs
- 157
- GitHub stars
- 76
- last updated
- Aug 21, 2026
Install
$ npx -y skills add rysweet/amplihack --skill goal-seeking-agent-pattern --agent claude-codeInstalls into .claude/skills of the current project.
Files
Goal-Seeking Agent Pattern Skill
1. What Are Goal-Seeking Agents?
Goal-seeking agents are autonomous AI agents that execute multi-phase objectives by:
- Understanding High-Level Goals: Accept natural language objectives without explicit step-by-step instructions
- Planning Execution: Break goals into phases with dependencies and success criteria
- Autonomous Execution: Make decisions and adapt behavior based on intermediate results
- Self-Assessment: Evaluate progress against success criteria and adjust approach
- Resilient Operation: Handle failures gracefully and explore alternative solutions
Core Characteristics
Autonomy: Agents decide HOW to achieve goals, not just follow prescriptive steps
Adaptability: Adjust strategy based on runtime conditions and intermediate results
Goal-Oriented: Focus on outcomes (what to achieve) rather than procedures (how to achieve)
Multi-Phase: Complex objectives decomposed into manageable phases with dependencies
Self-Monitoring: Track progress, detect failures, and course-correct autonomously
Distinction from Traditional Agents
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- Repository
- github.com/rysweet/amplihack
- Categories
- DevOps & CI/CD, Git & Pull Requests, AI & Agent Building, Debugging, Automation & Workflows, Design & UI/UX
- First seen
- Jun 3, 2026
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