Prompt engineering workflow for designing, rewriting, debugging, evaluating, and optimizing LLM prompts, system prompts, developer prompts, few-shot examples, structured-output instructions, tool-use prompts, and prompt eval cases. Use when prompt behavior, reliability, safety, cost, latency, or model fit is the main task. Do not use for generic prose editing, model selection alone, or ordinary do
The exact command may vary by repository. Check the README on GitHub.
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Prompt Engineering
Treat prompts as small behavioral specs. Improve them by naming the job,
testing the behavior, changing one important thing at a time, and preserving
the prompt's operating context.
Core Workflow
Scope the prompt job.
Identify the target model or provider, audience, runtime surface, inputs,
tools, output contract, constraints, and where the prompt will live. If the
prompt belongs to a repo, inspect existing prompts, schemas, examples,
tool definition
[Description truncada. Veja o README completo no GitHub.]
