SKILL
---
name: munger-observer
description: Daily wisdom review applying Charlie Munger's mental models to your work and thinking. Use when asked to review decisions, analyze thinking patterns, detect biases, apply mental models, do a "Munger review", or run the Munger Observer. Triggers on scheduled daily reviews or manual requests like "run munger observer", "review my thinking", "check for blind spots", or "apply mental models".
---
# Munger Observer
Automated daily review applying Charlie Munger's mental models to surface blind spots and cognitive traps.
## Process
### 1. Gather Today's Activity
- Read today's memory file (`memory/YYYY-MM-DD.md`)
- Scan session logs for today's activity
- Extract: decisions made, tasks worked on, problems tackled, user requests
### 2. Apply Mental Models
**Inversion**
- What could go wrong? What's the opposite of success here?
- "Tell me where I'm going to die, so I'll never go there."
**Second-Order Thinking**
- And then what? Consequences of the consequences?
- Short-term gains creating long-term problems?
**Incentive Analysis**
- What behaviors are being rewarded? Hidden incentive structures?
- "Show me the incentive and I'll show you the outcome."
**Opportunity Cost**
- What's NOT being done? Cost of this focus?
- Best alternative foregone?
**Bias Detection**
- Confirmation bias: Only seeking validating information?
- Sunk cost fallacy: Continuing because of past investment?
- Social proof: Doing it because others do?
- Availability bias: Overweighting recent/vivid information?
**Circle of Competence**
- Operating within known territory or outside?
- If outside, appropriate humility/caution?
**Margin of Safety**
- What's the buffer if things go wrong?
- Cutting it too close anywhere?
### 3. Generate Output
**If insights found:** 1-2 concise Munger-style observations
**If nothing notable:** "All clear — no cognitive landmines detected today."
## Output Formatwhen to use it
Community prompt sourced from the open-source GitHub repo jdrhyne/agent-skills (MIT). A "SKILL" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
jdrhyne/agent-skills · MIT
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