think

Route cognitive analysis into decide, research, truth, aar, and strategy modes.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/dabrewskie/owens-lifeos --skill think-dabrewskie
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: think
Source: https://github.com/dabrewskie/owens-lifeos/tree/main/skills/think
Command: npx skills add https://github.com/dabrewskie/owens-lifeos --skill think-dabrewskie

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Think consolidates cognitive operations across decision analysis, in-depth research, truth enforcement, after-action reviews, and long-range strategic planning to reduce rationalization and increase rigorous outcomes.

Core Features & Use Cases

  • Sub-Mode routing: decide, research, truth, aar, and strategy modes adapt to user intent.
  • MDMP-inspired framework: provides structured mission analysis, COA development, COA comparison, and a recommendation with safeguards.
  • Auditable outputs: produces clear plan-of-action artifacts (COA comparison, SWOT, risk points, and milestones) for decision-making records.

Quick Start

Use Think to analyze a scenario and generate 2-4 COAs with evidence-based reasoning.

Frequently Asked Questions about think

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

FAQPage Schema
How do I structure decision analysis to develop and compare courses of action?

Decision analysis requires a structured framework like MDMP to develop and compare courses of action (COAs). This approach standardizes mission analysis, COA comparison, and evidence gathering to produce auditable conclusions and reduce rationalization during strategic planning.

What is an after-action review and when do I need to conduct one?

An after-action review (AAR) is a post-action analysis process used to evaluate decisions and outcomes. You need to conduct an AAR after completing major business, research, or strategic planning cycles to enforce truth, identify risk points, and generate auditable records for future improvement.

How do I enforce truth and evidence gathering during research and strategy planning?

To enforce truth during research and strategy planning, apply a standardized framework that routes cognitive operations through evidence gathering and truth enforcement modes. This ensures rigorous, auditable conclusions by validating evidence before integrating it into long-range strategic planning.

Can I use a single framework for both immediate decision cycles and long-range strategy?

Yes, a unified cognitive operations framework can coordinate both immediate decision cycles and long-range strategy. By applying sub-mode routing, the framework adapts its analysis approach to the specific intent, ensuring rigorous outcomes across diverse planning horizons.

What is the best way to reduce rationalization and bias in strategic planning?

The best way to reduce rationalization in strategic planning is to apply auditable outputs like SWOT analysis, COA comparison, and risk point tracking. Standardized mission analysis ensures decisions follow evidence-based reasoning rather than subjective bias.

What are the limitations of using MDMP-inspired frameworks for business research?

MDMP-inspired frameworks for business research require significant cognitive overhead to maintain structured mission analysis and COA development. Limitations include the necessity of strict adherence to standardized outputs; skipping evidence gathering or truth enforcement phases compromises the auditable conclusions.