Lightlines
By alirezarezvani

senior-prompt-engineer

alirezarezvani962 installs

Better prompts backed by tests, not guesses.

What it does

Improves prompts through baseline comparisons and evaluation gates, measures retrieval quality, and validates agent configurations.

When to use it

Use for prompt optimization, prompt templates, LLM output evaluation, retrieval quality measurement, agent configuration validation, token analysis, or structured-output design.

How to use it

Give it prompts, evaluation data, or agent configuration files; it produces revised prompts, evaluation reports, or configuration fixes with baseline comparisons.

What you provide

  • Your files

Latest review

What you need · 1

Requires Python 3 to run the bundled command-line tools; the tools use only the standard library.


Access · 1

This skill

LLM provider pricing pages

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Looks up current provider pricing