jikime-foundation-philosopher

Integrate First Principles Analysis, Design Thinking, and Systems Engineering for complex decision-making.

5|1|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/jikime/jikime-adk --skill jikime-foundation-philosopher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jikime-foundation-philosopher
Source: https://github.com/jikime/jikime-adk/tree/main/templates/.claude/skills/jikime-foundation-philosopher
Command: npx skills add https://github.com/jikime/jikime-adk --skill jikime-foundation-philosopher

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a structured framework to tackle complex decisions, ensuring thorough analysis, consideration of alternatives, and mitigation of cognitive biases, leading to more robust and well-reasoned outcomes.

Core Features & Use Cases

  • Systematic Problem Decomposition: Breaks down complex issues into fundamental truths using First Principles Analysis.
  • Holistic Solution Exploration: Generates and evaluates multiple alternatives using Design Thinking principles.
  • Rigorous Trade-off Analysis: Quantitatively compares options against defined criteria, making trade-offs explicit.
  • Bias Mitigation: Actively identifies and counters common cognitive biases that can derail decision-making.
  • Use Case: When deciding on a new architectural pattern for a critical system component, this Skill ensures all assumptions are audited, root causes are identified, multiple solutions are explored, and the final choice is backed by a clear understanding of its trade-offs and potential biases.

Quick Start

Use the jikime-foundation-philosopher skill to analyze the trade-offs for selecting a new database technology.

Frequently Asked Questions about jikime-foundation-philosopher

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

FAQPage Schema
How do I perform trade-off analysis for complex software architecture decisions?

Trade-off analysis for software architecture decisions involves quantitatively comparing options against defined criteria. This framework guides you through assumption auditing and alternative generation to ensure architectural choices are well-reasoned and explicit.

What is First Principles Analysis and when do I need it for strategic thinking?

First Principles Analysis is a strategic thinking method that breaks complex problems down into fundamental truths. You need it for complex decision-making, such as technology selection, to audit assumptions and identify root causes before evaluating solutions.

How do I mitigate cognitive bias when selecting new technology or architectural patterns?

Mitigate cognitive bias during technology selection by applying an active bias check framework. It identifies and counters common cognitive biases that derail decision-making, ensuring your architectural pattern choices are backed by rigorous trade-off analysis.

Can I use Design Thinking principles for systems engineering and strategic planning?

You can use Design Thinking principles for systems engineering strategic planning by integrating them with First Principles Analysis. This combination guides holistic solution exploration, generating and evaluating multiple alternatives to ensure defensible decisions.

What is the best way to decompose complex technical decisions into root causes?

The best way to decompose complex technical decisions is through systematic problem decomposition. This framework breaks down complex issues into fundamental truths, guiding you through root cause decomposition and assumption auditing for strategic planning.

When should I not use a structured strategic thinking framework for decision making?

A structured strategic thinking framework may be unnecessary for simple or routine decisions where the trade-offs are minimal. It is designed for complex decision-making involving software architecture or technology selection where cognitive biases and multiple alternatives must be explicitly evaluated.