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