When should I trigger the Ask-AI 150 skill?

It should be used when internal workspace sources (grep, search, docs) are exhausted, the required information is post-knowledge cutoff, or your current confidence level in a solution is below 75%.

What is the Prompt150 formula?

Prompt150 is a structured framework for building quality AI prompts consisting of Context (100% core facts + 50% supporting), a specific Query, a Method for approach, and a defined output Style.

Does this skill require user permission?

Yes, the protocol includes a mandatory User Approval step (Step 4) where a preview of the Prompt150 and the target model are presented for authorization.

Can I use this for simple calculations?

No, the protocol explicitly advises against using external AI for simple calculations or facts already available in your local workspace files.

How does it handle the external AI's response?

The skill performs Response Validation by checking source credibility, verifying claims, separating facts from assumptions, and updating the overall confidence percentage of the project.

Understand & Ask-AI 150 Protocol

Name: Understand & Ask-AI 150 Protocol
Author: MykhailoDmytriakha

byMykhailoDmytriakha

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Productivity & Workflow

Consults external AI models using the structured Prompt150 formula to resolve complex queries when internal project data is exhausted.

The Understand-Ask-AI 150 skill provides a rigorous framework for Claude to seek outside expertise when local workspace information is insufficient. By implementing the Prompt150 formula—combining Context, Query, Method, and Style—it ensures external queries are high-quality, targeted toward the most appropriate model (such as GPT-4 for reasoning or Perplexity for research), and strictly validated before integration. This skill is essential for researching real-world precedents, finding information beyond a model's knowledge cutoff, or performing complex scenario modeling with a focus on confidence-level tracking.

Key Features

01Confidence-level tracking and gap identification

020 GitHub stars

03Internal exhaustion verification to prevent redundant searches

04Targeted model selection based on research or reasoning needs

05Structured Prompt150 formula for high-quality external queries

06Multi-step response validation and credibility assessment

Use Cases

01Obtaining industry benchmarks and statistical data after internal search failure

02Resolving complex architectural decisions requiring specialized AI reasoning

03Researching real-world legal or technical precedents missing from the codebase

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mykhailodmytriakha/my-preacher-helper 23-understand-ask-ai-150

For use in Claude.ai and ChatGPT

Download Skill