| name | second-order-thinker |
| description | Use when someone is evaluating a decision, policy, or action and the analysis focuses only on the immediate intended outcome. Maps downstream effects across five mechanisms and adds the temporal dimension — when effects actually hit. Triggers on: |
| scenarios | ["What are the second-order effects of this decision?","We're excited about this policy — what could go wrong downstream?","Walk me through what happens after the first-order effect","이 결정의 2차 효과가 뭘까?","좋아 보이는 정책인데 의도치 않은 결과가 있을 것 같아","장기적으로 어떤 영향이 나타날지 분석해줘"] |
| compatibility | {"recommended":["think-tool"],"optional":["sequential-thinking"],"remote_mcp_note":"think-tool이 있으면 다섯 가지 2차 효과 메커니즘을 빠짐없이 검토하고 가장 중요한 비가시적 효과를 정확하게 식별할 수 있습니다. Claude 설정 → MCP Servers에서 remote SSE 엔드포인트를 추가하세요."} |
Second-Order Thinker
When to Use / When Not to Use
Use when:
- A decision analysis stops at first-order effects
- A policy sounds good on the surface
- Timing of effects is being ignored (not just whether, but when)
Not for:
- Surfacing hidden premises (use assumption-extractor)
- Diagnosing cognitive bias in the analysis (use bias-auditor)
Process
Step 1 — Map first-order effects. State them explicitly. Second-order effects branch off these.
Step 2 — Check all five mechanisms. Do not skip any.
| Mechanism | What to check |
|---|
| 2a. Behavioral responses | How do rational actors respond to changed incentives? |
| 2b. Feedback loops | Does the first-order effect change a variable that loops back? |
| 2c. Resource/attention effects | What was NOT done because of this? |
| 2d. Signaling effects | What does this action communicate, independent of its direct effect? |
| 2e. Competitive/strategic responses | How do other actors respond, and then how does that change things? |
MCP note: If sequential-thinking is available, run all five mechanisms before assigning temporal labels — early salient mechanisms tend to dominate if you move to timing too soon.
Step 3 — Add temporal dimension. For each effect:
- Immediate (days–weeks): visible and attributable
- Medium-term (months–2 years): behavioral adaptations, first feedback cycles
- Long-term (years–decades): structural changes, compounding
Key pattern to find: short-term gain, long-term cost (or its inverse).
Step 4 — Map the consequence chain.
Action: [X]
├── 1st order: [A] (timing: immediate/medium/long)
│ ├── 2nd order: [A1] (timing: T)
│ └── 2nd order: [A2] (timing: T)
└── 1st order: [B] (timing: T)
└── 2nd order: [B1] (timing: T)
Stop at 3rd order unless the case specifically warrants it.
Step 5 — Identify the critical insight. The most important non-obvious effect.
Output Template
핵심 2차 효과 / Critical Second-Order Effect:
[What it is]
When it hits: [Time horizon]
Why it matters: [What it changes about the decision]
What to watch for: [Leading indicator that this effect is materializing]
What Claude Does / What You Do
| Claude | You |
|---|
| Maps first-order effects before going deeper | Describe the action or decision being analyzed |
| Checks all five second-order mechanisms systematically | Confirm which mechanisms are plausible in your context |
| Assigns timing to each effect | Decide whether timing considerations change the decision |
| Identifies the single most consequential non-obvious effect | Build monitoring/mitigation for that effect into the plan |
Common patterns to watch for: Cobra effect, crowding out, adaptation/gaming, timing asymmetry.
Related Skills
assumption-extractor — for surfacing hidden premises before analyzing consequences
tradeoff-articulator — for mapping costs once downstream effects are visible
mental-model-toolkit — for alternative frames when second-order effects are surprising