From all-skills
Transforms vague or simple user prompts into high-quality, structured, and high-performance AI instructions using systematic optimization techniques like XML tagging, few-shot examples, and Chain-of-Thought. Use this skill when you need to improve the reliability, accuracy, or formatting of an AI's output.
How this skill is triggered — by the user, by Claude, or both
Slash command
/all-skills:prompt-optimizerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill enables agents to systematically optimize prompts based on the "AI as a New Employee" philosophy. It applies structural, contextual, and technical enhancements to ensure AI models perform tasks with maximum clarity and precision.
This skill enables agents to systematically optimize prompts based on the "AI as a New Employee" philosophy. It applies structural, contextual, and technical enhancements to ensure AI models perform tasks with maximum clarity and precision.
Before generating the optimized prompt, analyze the following in a <thinking> block:
Build the optimized prompt using these mandatory components:
<role>: Define a specialized persona with relevant expertise.<context>: Provide background information and the "why" behind the task.<task>: State the instructions clearly and concisely.<requirements>: List specific success criteria and constraints.<output_format>: Define the expected structure (e.g., JSON, Markdown).<example> blocks if the task is pattern-based.<thinking> tags.Input: "Write a product description for a smartwatch." Optimized Output:
<role>
Senior Marketing Copywriter specializing in wearable technology.
</role>
<context>
We are launching the 'Apex-1' smartwatch targeting fitness enthusiasts who value data accuracy and battery life.
</context>
<task>
Write a compelling 200-word product description for the Apex-1 smartwatch.
</task>
<requirements>
1. Highlight the 14-day battery life and dual-band GPS.
2. Use an energetic and professional tone.
3. Include a clear Call to Action (CTA) at the end.
</requirements>
<output_format>
Markdown with headers for 'Features', 'Benefits', and 'Specifications'.
</output_format>
For deep dives into the underlying methodology, see the systematic guide.
npx claudepluginhub yukiniro/skills --plugin all-skillsGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.