strong-prompt

Name: strong-prompt
Availability: InStock
Author: lshtram

Analyze user requests for clarity, safety, and strategic alignment.

Updated Jan 21, 2026

Search Tags:#planning #clarity #safety #analyze #risk #prompt

Ready to run

npx skills add https://github.com/lshtram/core_dev --skill strong-prompt

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: strong-prompt
Source: https://github.com/lshtram/core_dev/tree/main/.agent/skills/strong-prompt
Command: npx skills add https://github.com/lshtram/core_dev --skill strong-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill analyzes user requests to ensure clarity, safety, and strategic alignment, preventing prompt fatigue.

Core Features & Use Cases

Classification of user intent to detect ambiguity and misalignment
Safety checks on sensitive domains (e.g., authentication, payments, data handling)
Clarity scoring and mode-based decision making (Audit vs Iterative)
Registry lookups and plan generation to guide AI orchestration

Quick Start

Audit this user request for clarity, safety, and strategic alignment and generate a plan if needed.

Frequently Asked Questions about strong-prompt

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

FAQPage Schema

How do I analyze a prompt for clarity and safety before execution?▼

You analyze a prompt for clarity and safety by classifying user intent, scoring clarity, and running safety checks on sensitive domains like authentication or payments to ensure strategic alignment and prevent prompt fatigue.

How do I generate a strategic plan from an ambiguous user request?▼

Generating a strategic plan from an ambiguous request involves performing a clarity assessment, flagging risks, and requesting necessary clarifications to guide AI orchestration and resolve misalignment effectively.

What is the best way to audit prompt requests for sensitive data handling?▼

The best way to audit prompt requests for sensitive data handling is to apply safety checks that classify intent and flag risks in domains like authentication and payments, ensuring safe and aligned AI orchestration.

When do I need to request clarifications for an AI prompt?▼

You need to request clarifications for an AI prompt when the clarity score indicates high ambiguity, intent misalignment is detected, or strategic planning requires resolving flagged risks before execution.

Does iterative planning help prevent prompt fatigue in software engineering?▼

Iterative planning helps prevent prompt fatigue by applying mode-based decision making, auditing requests for clarity and strategic alignment, and generating structured plans to guide downstream AI orchestration.