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System Prompt Engineering

Helps you design system prompts for custom agents by walking through purpose, instructions, and examples. The key insight here is that system prompts are orders of magnitude more important than user prompts since they affect every conversation. It provides a concrete structure with three sections (purpose for identity, instructions for rules, examples for behavior shaping) and includes validation checklists. Most useful when you're creating a new specialized agent and need to think through boundaries and edge cases upfront. The examples section is emphasized as critical, which tracks with how LLMs learn better from concrete demonstrations than abstract rules.

skills.sh installs
170
GitHub stars
30
last updated
Aug 21, 2026

Install

$ npx -y skills add melodic-software/claude-code-plugins --skill system-prompt-engineering --agent claude-code

Installs into .claude/skills of the current project.

Files

Helps you design system prompts for custom agents by walking through purpose, instructions, and examples. The key insight here is that system prompts are orders of magnitude more important than user prompts since they affect every conversation. It provides a concrete structure with three sections (purpose for identity, instructions for rules, examples for behavior shaping) and includes validation checklists. Most useful when you're creating a new specialized agent and need to think through boundaries and edge cases upfront. The examples section is emphasized as critical, which tracks with how LLMs learn better from concrete demonstrations than abstract rules.

Browse the repository on GitHub

Sponsors

Details

Repository
github.com/melodic-software/claude-code-plugins
Categories
AI & Agent Building, Design & UI/UX
First seen
Jun 3, 2026

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