Why should I avoid negative instructions in my prompts?

Models tend to focus on key concepts; an instruction like 'Never use X' can actually activate the concept of X. Positive framing like 'Use Y instead' provides a clear, logical path for the AI to follow.

How does adding 'Reasoning' or 'Motivation' help the AI?

Claude generalizes better when it understands the 'why' behind a rule. Providing a brief reason helps the AI apply the logic to novel situations it hasn't encountered before.

Is this skill specific to Claude 4.5?

While it includes optimizations specific to Claude 4.5's direct action language and parallel tool usage, the core prompt engineering principles are effective across all modern Anthropic models.

What makes an instruction 'specific' versus 'vague'?

Vague instructions like 'Format code properly' lead to inconsistent results. Specific instructions like 'Use 2-space indentation and conventional commits' provide measurable standards for the AI.

Claude Code Prompt Optimizer

Name: Claude Code Prompt Optimizer
Author: Jamie-BitFlight

byJamie-BitFlight

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開発者ツール

Optimizes project instructions and CLAUDE.md configurations using Anthropic's official prompt engineering best practices for Claude 4.5.

概要

This skill empowers developers to refine their Claude Code environment by auditing and improving CLAUDE.md files and custom Skill configurations. It specializes in transforming ineffective negative prohibitions into actionable positive patterns, ensuring the AI assistant understands exactly what to do rather than just what to avoid. By implementing Anthropic's core principles—such as specific indentation rules, direct action language, and structured examples—this skill maximizes model adherence, reduces reasoning errors, and leverages Claude 4.5's advanced capabilities like parallel tool execution and concise communication.

主な機能

Transforms negative prohibitions into positive, actionable instructions
Structures project context with prioritized Markdown headings and tables
Applies Anthropic's official 'Reasoning' and 'Motivation' patterns to system prompts
Optimizes Skill descriptions and tool restrictions for better discovery
11 GitHub stars
Implements multi-shot examples using <example> tags for complex logic

ユースケース

Creating high-precision custom Skills for specific team coding standards
Standardizing project prompts for optimal Claude 4.5 tool usage
Refactoring ineffective or legacy CLAUDE.md files to improve AI performance

概要

主な機能

Transforms negative prohibitions into positive, actionable instructions
Structures project context with prioritized Markdown headings and tables
Applies Anthropic's official 'Reasoning' and 'Motivation' patterns to system prompts
Optimizes Skill descriptions and tool restrictions for better discovery
11 GitHub stars
Implements multi-shot examples using <example> tags for complex logic

ユースケース

Creating high-precision custom Skills for specific team coding standards
Standardizing project prompts for optimal Claude 4.5 tool usage
Refactoring ineffective or legacy CLAUDE.md files to improve AI performance