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senior-prompt-engineer

Analyze prompts, evaluate RAG systems, and design agentic workflows.

Updated Feb 16, 2026
Search Tags:#workflow design#prompt engineering#optimization#rag#llm evaluation#agent systems
One-click install
npx skills add https://github.com/Nuwanda04/Ballen-Fisk --skill senior-prompt-engineer-nuwanda04
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: senior-prompt-engineer
Source: https://github.com/Nuwanda04/Ballen-Fisk/tree/main/.cursor/skills/senior-prompt-engineer
Command: npx skills add https://github.com/Nuwanda04/Ballen-Fisk --skill senior-prompt-engineer-nuwanda04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines prompt engineering and agent development by providing tools for prompt optimization, LLM output evaluation, and agent workflow design.

Core Features & Use Cases

  • Prompt Optimization: Analyze and improve prompts for clarity, efficiency, and cost.
  • RAG Evaluation: Assess the quality of retrieval-augmented generation systems.
  • Agent Design: Build, validate, and visualize agentic systems and workflows.
  • Use Case: A user wants to improve a complex prompt for generating marketing copy. They can use this Skill to analyze the prompt, get suggestions for optimization, and test the improved version against evaluation metrics.

Quick Start

Use the senior prompt engineer skill to analyze the prompt in the file 'my_prompt.txt'.

Frequently Asked Questions about senior-prompt-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize prompts for clarity, efficiency, and cost?▼

Prompt optimization analyzes your existing prompts to improve clarity, efficiency, and cost. You can analyze a prompt in a text file to receive suggestions and test the improved version against evaluation metrics.

What is the best way to evaluate retrieval-augmented generation systems?▼

RAG evaluation assesses the quality of retrieval-augmented generation systems. This skill provides frameworks specifically designed to evaluate and validate the performance of your RAG pipelines.

How do I design agentic systems using ReAct and Plan-and-Execute patterns?▼

Agent design builds, validates, and visualizes agentic systems and workflows. It provides orchestration patterns like ReAct and Plan-and-Execute to structure your agent systems effectively.

Can I analyze prompts directly from a text file?▼

Yes, you can analyze prompts directly from a text file. Use this skill to analyze the prompt in your file to get optimization suggestions and test improvements.

Do I need Python PDF libraries to use this prompt optimization skill?▼

Python PDF libraries like pypdf, pdfplumber, and pdf2image are dependencies. They are likely required to extract and analyze prompts stored within PDF documents.

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