Is the optimization process fully automated?

No, it uses a human-in-the-loop approach where the AI analyzes the prompt and proposes changes with evidence, but requires explicit user approval before integration.

Does it support multi-agent workflows?

Yes, it includes specific references for multi-turn flows and multi-agent orchestration, covering patterns like Chain-of-Verification and Multi-Chain Reasoning.

What documentation does it use for optimization?

It relies on internal single-turn and multi-turn pattern references to ensure all modifications are grounded in documented behavioral impacts rather than general knowledge.

What is the Claude Prompt Optimizer skill?

It is a specialized capability for Claude Code that helps developers refine their system prompts using proven prompt engineering techniques and research-backed patterns.

When should I use the lightweight process?

The lightweight process is ideal for simple prompts under 20 lines that have a single purpose and do not contain complex branching or conditional logic.

Claude Prompt Optimizer

Name: Claude Prompt Optimizer
Author: timmye

bytimmye

0•

生产力与工作流

Refines and optimizes system prompts for Claude Code agents using research-backed prompt engineering patterns.

The Claude Prompt Optimizer provides a structured framework for improving the clarity, scope, and behavioral accuracy of LLM system prompts. By applying a human-in-the-loop workflow—ranging from initial triage to pattern-based modification—it ensures every prompt change is grounded in documented best practices. This skill is essential for developers building complex agent workflows who need to eliminate ambiguity, manage edge cases effectively, and maintain token efficiency across single and multi-turn interactions.

主要功能

01Triage process to differentiate between simple and complex prompt structures

02Anti-pattern detection to prevent common LLM failure modes and hallucinations

030 GitHub stars

04Research-backed pattern selection for single and multi-turn prompts

05Detailed 'Change Cards' providing evidence-based problem and fix analysis

06Human-in-the-loop approval workflow for all system prompt modifications

使用场景

01Optimizing multi-agent orchestration flows and complex handoff logic

02Refining lengthy system prompts to improve instruction following and reduce token costs

03Improving the reliability and accuracy of tool-use agent instructions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add timmye/neurosensefx prompt-engineer

For use in Claude.ai and ChatGPT

Download Skill