How do I trigger the deep thinking protocol?

It triggers automatically on phrases like 'think deeply', 'analyze thoroughly', or 'reason carefully', but can be applied to any task requiring careful thought.

Does this methodology only work for coding tasks?

No, while designed for developer workflows, the Deep-Think 150 methodology is universal and applies to any situation requiring quality reasoning and decision-making.

What is the 150% Rule in Deep-Think 150?

The 150% Rule consists of a 100% core analysis to reach a coherent conclusion plus a 50% enhancement phase focused on identifying hidden assumptions and alternative interpretations.

When should I use this Claude Code skill?

Use it for complex debugging, strategic planning, code reviews, or any task where a quick response might miss important nuances or hidden logical flaws.

How does this prevent 'surface-level' solutions?

By forcing an immediate pause and a mandatory assumption audit, the protocol prevents jumping to conclusions before the full context and potential risks are mapped.

Deep-Think 150

Name: Deep-Think 150
Author: MykhailoDmytriakha

byMykhailoDmytriakha

生産性とワークフロー

Implements a systematic reasoning framework to ensure deep analysis, assumption testing, and risk mitigation for complex problem-solving.

概要

Deep-Think 150 is a comprehensive reasoning methodology designed to prevent surface-level responses and ensure high-quality cognitive output. By enforcing an immediate pause, systematic model formation, and rigorous assumption auditing, this skill transforms how Claude approaches tasks ranging from debugging and code review to strategic planning. It leverages the '150% Rule'—completing a core analysis while adding a 50% enhancement layer to identify hidden risks and alternative interpretations—ensuring that every solution is both logically sound and thoroughly vetted for edge cases and potential failures.

主な機能

Systematic 6-step execution protocol for thorough cognitive modeling
The 150% Rule for identifying hidden assumptions and secondary risks
Mandatory assumption audit to differentiate verified vs. unverified data
Alternative analysis generation to explore 3+ different perspectives
Structured output format with explicit risk identification and confidence levels
0 GitHub stars

ユースケース

Debugging complex logic errors where the root cause is not immediately apparent
Analyzing architectural decisions and evaluating trade-offs between different technologies
Reviewing sensitive code for potential security risks and edge-case failures

概要

主な機能

Systematic 6-step execution protocol for thorough cognitive modeling
The 150% Rule for identifying hidden assumptions and secondary risks
Mandatory assumption audit to differentiate verified vs. unverified data
Alternative analysis generation to explore 3+ different perspectives
Structured output format with explicit risk identification and confidence levels
0 GitHub stars

ユースケース

Debugging complex logic errors where the root cause is not immediately apparent
Analyzing architectural decisions and evaluating trade-offs between different technologies
Reviewing sensitive code for potential security risks and edge-case failures