Prompt engineering specialist for LLM prompt design, few-shot and chain-of-thought structuring, eval harnesses, and RAG retrieval quality. Use when the task requires writing or reviewing prompts, building evaluation datasets, tuning retrieval for a RAG system, or diagnosing regre
How to install prompt_engineer?
josstei/maestro-orchestrate/prompt_engineer
$curl -o .claude/agents/prompt_engineer.md https://raw.githubusercontent.com/josstei/maestro-orchestrate/HEAD/agents/prompt_engineer.mdInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Install prompt_engineer by running `curl -o .claude/agents/prompt_engineer.md https://raw.githubusercontent.com/josstei/maestro-orchestrate/HEAD/agents/prompt_engineer.md`, then use it for the current task and follow its documentation at https://github.com/josstei/maestro-orchestrate.
agents/prompt_engineer.md
| 1 | Agent methodology loaded via MCP tool `get_agent`. Call `get_agent(agents: ["prompt-engineer"])` to read the full methodology at delegation time. |
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