Write or audit AI agent system prompts component-by-component across identity, instruction architecture, behavioral constraints, tools, examples, context strategy, output format, and error handling. Use when the user wants to design a new agent prompt, write a system prompt, review an existing agent prompt, fix tool-use instructions, audit prompt structure, improve context strategy, tune output formats, or define error handling for single-agent or multi-agent systems.
100
100%
Does it follow best practices?
Impact
100%
1.33xAverage score across 3 eval scenarios
Passed
No known issues
{
"name": "sharaf/agent-prompt-engineer",
"version": "0.1.15",
"summary": "Write or audit AI agent system prompts component-by-component across identity, instruction architecture, behavioral constraints, tools, examples, context strategy, output format, and error handling. Use when the user wants to design a new agent prompt, write a system prompt, review an existing agent prompt, fix tool-use instructions, audit prompt structure, improve context strategy, tune output formats, or define error handling for single-agent or multi-agent systems.",
"private": false,
"skills": {
"agent-prompt-engineer": {
"path": "SKILL.md"
}
}
}