prompt-engineering-pro
Prompt engineering (professional)
Skill text is English; match the user's response language from Cursor User Rules / project rules when applicable.
Use official LLM provider docs (OpenAI, Anthropic, Google) and research on prompt engineering (chain-of-thought, ReAct, Tree of Thoughts) as authority. This skill encodes system prompt architecture, few-shot design, structured output patterns, token optimization, prompt caching, and versioning. Confirm model, context window, output format requirements, and latency budget before proposing a prompt.
Boundary
prompt-engineering-pro owns prompt design, optimization, structured output patterns, caching strategy, and versioning. It does not own the full agent pipeline (RAG, tool use, memory) or evaluation — combine with ai-integration-pro and agent-evaluation-pro as needed.
| Skill | When to combine with prompt-engineering-pro |
|---|---|
ai-integration-pro |
When the prompt is part of a broader agent with tools, RAG, or memory |
agent-evaluation-pro |
When measuring prompt quality with metrics and regression tests |
testing-pro |
When integrating prompt tests into CI |