thinking-deeply

Reframe questions and map perspectives before delivering structured analysis.

3|1|Updated Dec 21, 2025
One-click install
npx skills add https://github.com/I-Onlabs/claude-code-skills --skill thinking-deeply-i-onlabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: thinking-deeply
Source: https://github.com/I-Onlabs/claude-code-skills/tree/main/think_deeply
Command: npx skills add https://github.com/I-Onlabs/claude-code-skills --skill thinking-deeply-i-onlabs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Claude reflexively agrees or disagrees without deeper analysis. This skill enforces a structured thinking process to ensure responses consider multiple perspectives and contextual factors before answering.

Core Features & Use Cases

  • Reframe questions to surface underlying concerns and objectives.
  • Map multiple valid perspectives, trade-offs, and context dependencies.
  • Deliver a structured response that includes acknowledgment, dimensional analysis, context factors, and a thoughtful recommendation.
  • Avoid anti-patterns like reflexive agreement, binary thinking, or overconfident conclusions.

Quick Start

Ask Claude to apply the Deep Thinking Protocol whenever questions are prone to confirmation bias, leading statements, or binary choices to receive a nuanced, context-aware analysis.

Frequently Asked Questions about thinking-deeply

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

FAQPage Schema
How do I stop AI from reflexively agreeing with leading statements and binary choices?

To stop reflexive agreement on binary choices, apply a structured analysis protocol that pauses to reframe questions, map multiple perspectives, and evaluate context dependencies before generating a response.

What is structured thinking for multiple perspectives in AI communication?

Structured thinking for multiple perspectives is a protocol that imposes a pause to reframe leading statements, map dimensional trade-offs, and deliver context-aware guidance, ensuring nuanced analysis over reflexive confirmation.

How do I get a dimensional analysis of polarizing statements instead of a simple yes or no?

You get dimensional analysis of polarizing statements by triggering a deep thinking protocol that surfaces embedded assumptions, maps valid viewpoints, and outputs a structured response with a thoughtful recommendation.

When should I use a structured response protocol for decision-making?

Use a structured response protocol for decision-making when dealing with confirmation-seeking questions, embedded assumptions, or polarizing statements prone to anti-patterns like binary thinking and overconfident conclusions.

Does this structured analysis approach work for confirmation-seeking questions?

Yes, this structured analysis approach actively detects confirmation-seeking questions, reframes them to expose underlying objectives, and maps context dependencies to avoid anti-patterns like reflexive agreement.

What are the limitations of applying deep thinking protocols to simple questions?

The limitation of applying deep thinking protocols to simple questions is the imposed overhead of landscape mapping and dimensional analysis, which may unnecessarily delay straightforward responses lacking embedded assumptions or polarizing context.