decision-making
Apply Tier 0 axioms to evaluate decisions. Use when making choices, assessing risk, or prioritizing work.
安装与使用
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
查看来源 ↗使用指南技能说明
Decision Making
Apply Tier 0 axioms to evaluate decisions and recommendations.
When to Use
- Before making significant choices
- When evaluating options or recommendations
- When assessing risk
- When prioritizing work
Book Triggers
Reference: [[books/thinking-rationality.md]]
- Apply "Black Swan" fat-tail thinking to risk assessment
- Use "Scout Mindset" for truth-seeking over confirmation
- Apply "Thinking in Systems" for feedback loop analysis
Reference: [[books/systems-thinking.md]]
- Use "Product Development Flow" for opportunity cost and queue theory
Decision Framework
Step 1: First Principles Decomposition
Before evaluating options, decompose the problem:
- What are we actually trying to achieve? (Not the solution, the goal)
- What constraints are truly fixed vs assumed?
- What would we do if starting from scratch?
Step 2: Falsification Check
For each option, actively seek disconfirmation:
- What evidence would prove this wrong?
- What are we assuming that might not be true?
- Pre-mortem: It's 6 months later and this failed. Why?
Step 3: Risk Assessment Matrix
Evaluate using these lenses:
| Factor | Question |
|---|---|
| Reversibility | Two-way door (fast) or one-way door (analyze)? |
| Via Negativa | What would make this fail? |
| Margin of Safety | If estimates are 2x wrong, does it still work? |
| Second Order | What are the consequences of the consequences? |
| Antifragility | Does this strengthen under stress or break? |
Step 4: Opportunity Cost
Explicitly name what you're NOT doing by choosing this path:
- What resources get allocated here?
- What alternatives become impossible?
- Is this the highest-leverage use of effort?
Step 5: Pareto Filter
Apply 80/20 thinking:
- Which 20% of this delivers 80% of value?
- What can be cut without meaningful impact?
- What's the minimum viable version?
Output Format
When documenting decisions, use this structure:
## Decision: [Title]
**Date:** YYYY-MM-DD
**Status:** Proposed | Approved | Rejected
### Context
What situation prompted this decision?
### Options Considered
1. Option A - [brief description]
2. Option B - [brief description]
### Analysis
#### First Principles
[Decomposition of the actual goal]
#### Risk Assessment
- Reversibility: [two-way/one-way]
- Via Negativa: [failure modes]
- Margin of Safety: [buffer assessment]
- Second Order: [downstream effects]
#### Opportunity Cost
[What we're giving up]
### Decision
[The choice made and why]
### Review Trigger
[When/what would cause us to revisit this]
Anti-Patterns
Avoid these decision-making failures:
- Confirmation bias: Seeking evidence that supports preferred option
- Sunk cost fallacy: Continuing because of past investment
- Availability heuristic: Overweighting recent or vivid examples
- Anchoring: Over-relying on first piece of information
- Groupthink: Consensus without genuine dissent
Integration
This skill is foundational. Other skills should invoke decision-making when:
- Choosing between implementation approaches
- Prioritizing backlog items
- Evaluating feature requests
- Assessing technical debt tradeoffs
See company/docs/decision-principles.md for the Tier 0 axioms reference.
使用示例
查看来源仓库中的使用示例与配置说明。
查看来源 ↗来源历史
- 收录时间
- 2026-01-20
- 索引更新时间
- 2026-01-26
- Branch
- main
收录与同步日期属于本站记录。源码修改历史请查看来源仓库。
GitHub ↗chat Comments (0)
Sign in to join the discussion and leave a comment.
No comments yet. Be the first to share your thoughts!