skills.rest
ReinaMacCredy
ReinaMacCredyCOMMUNITY
Explore all skills by this author →
Website𝕏@ReinaMacCredyGitHub

prompt-leverage

Transform unstructured user prompts into detailed instructions for AI agents.

Updated Mar 13, 2026
Search Tags:#prompt engineering#prompt optimization#llm#ai agent#task definition#instruction tuning
One-click install
npx skills add https://github.com/ReinaMacCredy/Maestro-CLI --skill prompt-leverage-reinamaccredy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-leverage
Source: https://github.com/ReinaMacCredy/Maestro-CLI/tree/main/.claude/skills/prompt-leverage
Command: npx skills add https://github.com/ReinaMacCredy/Maestro-CLI --skill prompt-leverage-reinamaccredy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and agents (resource) components.

What problem does it solve?

This Skill strengthens raw user prompts into execution-ready instructions for AI agents, improving clarity and effectiveness.

Core Features & Use Cases

  • Prompt Augmentation: Enhances prompts with objective, context, work style, tool rules, and output contracts.
  • Task Detection: Automatically infers the task type (coding, research, writing, etc.) from the prompt.
  • Use Case: When you have a vague request like "write a blog post about AI," this skill can transform it into a detailed prompt that specifies the target audience, desired tone, key points to cover, and output format.

Quick Start

Use the prompt-leverage skill to upgrade the following prompt: "Summarize the latest AI research papers."

Frequently Asked Questions about prompt-leverage

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

FAQPage Schema
How do I upgrade raw prompts into detailed instructions for AI agents?▼

To upgrade raw prompts for AI agents, this Skill analyzes unstructured text to infer task type and constructs a comprehensive prompt specifying objective, context, work style, tool rules, output contract, and verification criteria.

What is prompt augmentation and how does it improve LLM task definition?▼

Prompt augmentation enhances basic LLM task definitions by analyzing raw input to automatically detect task type and appending specific constraints like target audience, desired tone, and required output format.

How do I structure a vague request for an AI agent framework?▼

You structure a vague request for an AI agent framework by providing the raw text to this Skill, which transforms it into execution-ready instructions by inferring task intensity and generating actionable objectives.

Can I explicitly specify task type during prompt optimization?▼

Yes, you can explicitly specify task type during prompt optimization, though the Skill also supports automatic task detection to infer whether the prompt requires coding, research, or writing execution logic.

Does prompt-leverage work with unstructured user prompts for instruction tuning?▼

Yes, prompt-leverage processes unstructured user prompts for instruction tuning by analyzing the content to determine task intensity and generating detailed execution rules and verification criteria.

Related Skills

Explore More Content & Communication Skills→
JohnRobert-OlanoJohnRobert-Olano

writing-beats

Create structured narratives from raw text through beat-by-beat selection.

Community
Intermediate
freeCodeCamp-UniversefreeCodeCamp-Universe
8

skill-name

Define and run a role-based AI agent with custom instructions and structured outputs.

Official
Intermediate
pingshian0131pingshian0131
1

skill-creator

Guide creation, structuring, and packaging of AI agent skills.

Community
Intermediate
Marcu08Marcu08

DevOS Plugin Development

Create custom DevOS plugins with Node.js detection rules and prompt injectors.

Community
Advanced