prompt-engineer

Optimize Claude Code prompts with auditable, phased analysis and change tracking.

6|1|Updated Dec 8, 2025
One-click install
npx skills add https://github.com/vladolaru/claude-code-plugins --skill prompt-engineer-vladolaru
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-engineer
Source: https://github.com/vladolaru/claude-code-plugins/tree/main/plugins/prompt-engineer/skills/prompt-engineer
Command: npx skills add https://github.com/vladolaru/claude-code-plugins --skill prompt-engineer-vladolaru

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a rigorous, auditable approach to prompt optimization for Claude Code agents. It applies proven prompt-engineering patterns to transform vague prompts into structured, safe, and effective instructions, with full traceability and change justification.

Core Features & Use Cases

  • Phase-based optimization: Section-by-section analysis followed by full integration to produce a coherent, optimized prompt.
  • Pattern attribution and change-tracking: Each modification cites a specific reference trigger and expected effect, with before/after evidence.
  • Conflict resolution and quality assurance: Handles scaffolding decisions, compatibility checks, and anti-pattern mitigation for robust prompts.
  • Use cases include refining system prompts for tool use, agent workflows, and safety-focused instructions in production Claude Code environments.

Quick Start

Submit your prompt to the optimizer to receive an auditable, phased plan and the fully optimized prompt with change cards.

Frequently Asked Questions about prompt-engineer

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

FAQPage Schema
How do I optimize Claude Code prompts for multi-turn agent workflows?

You can optimize Claude Code prompts by applying phase-based analysis section-by-section, then integrating them into a final prompt with quotes, compatibility notes, and before/after evidence for full traceability.

What is phase-based prompt optimization and how does it work?

Phase-based prompt optimization analyzes system prompts section-by-section before full integration, ensuring each modification cites a specific reference trigger, expected effect, and before/after evidence for auditable improvements.

Does prompt optimization work with both single-turn system prompts and multi-turn agents?

Yes, prompt optimization applies proven patterns to both single-turn system prompts and multi-turn agent workflows, enabling phased analysis, quotes, and human-in-the-loop review across both contexts.

How do I audit prompt changes and avoid anti-patterns in production Claude Code environments?

You audit prompt changes by generating structured change cards with trigger quotes, BEFORE/AFTER text, and compatibility notes, while actively mitigating anti-patterns through pattern attribution and conflict resolution.

Can I include human-in-the-loop review when refining system prompts for tool use?

Yes, human-in-the-loop review is integrated into the prompt optimization process, allowing you to validate scaffolding decisions, safety-focused instructions, and compatibility checks before finalizing the optimized prompt.

What's the best way to structure vague prompts for production Claude Code agents?

The best way is to apply documented prompt-engineering patterns that transform vague prompts into structured instructions, delivering a final optimized prompt with change cards, compatibility notes, and anti-pattern mitigation ready for integration.