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ClaudeWave
Skill329 repo starsupdated 5d ago

assumption-excavation

Assumption Excavation systematically identifies hidden beliefs underlying decisions, then adversarially challenges each one and maps which assumptions would change the conclusion if proven wrong. Use this skill when evaluating major decisions, strategies, or arguments where unstated premises might be fragile or where understanding load-bearing beliefs is essential for risk assessment and mitigation planning.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine /tmp/assumption-excavation && cp -r /tmp/assumption-excavation/skills/assumption-excavation ~/.claude/skills/assumption-excavation
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Assumption Excavation

A three-phase tactic that surfaces hidden assumptions, challenges each one adversarially, and maps which assumptions are load-bearing for the conclusion. Decisions often rest on unstated beliefs — this tactic makes them explicit and tests their strength.

## Stages

1. **Assumption Extraction** — Systematically surface all assumptions underlying the decision, with confidence levels
2. **Assumption Challenge** — For each assumption, construct the strongest counter-argument and identify alternatives
3. **Conclusion Sensitivity** — Map which assumptions, if wrong, would change the conclusion

## Available SOPs

| SOP | Phase | Purpose |
|-----|-------|---------|
| assumption-extraction | Extract | Surface hidden assumptions with confidence |
| assumption-challenge | Challenge | Attack each assumption adversarially |
| conclusion-sensitivity | Sensitivity | Map load-bearing assumptions |

## Execution Guidance

- Extract minimum 5 assumptions per decision
- Challenge ALL assumptions, not just obvious ones
- Confidence levels: HIGH (>80%), MEDIUM (50-80%), LOW (<50%)
- Critical assumption = conclusion changes if assumption is wrong
- Focus mitigation efforts on critical + low-confidence assumptions

## Minimum Yield

- >= 5 assumptions extracted with confidence levels
- Challenge argument for each assumption
- Alternative assumption for each (what if the opposite is true?)
- Sensitivity map showing which assumptions are critical
- List of critical assumptions requiring mitigation