From multiple perspectives, build genuine consensus on what's true
Scanned 2/12/2026
Install to Claude Code
npx -y skills add majiayu000/claude-skill-registry --skill consensus-building --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: consensus-building
description: From multiple perspectives, build genuine consensus on what's true
tier: π
morpheme: π
dewey_id: π.6.3.0
dependencies:
- perspective-aggregation
- pattern-synthesis
- divergence-control
---
# Consensus Building
## Purpose
Multiple instances have found different answers. Perspective aggregation shows the map. Pattern synthesis found what persists.
**Consensus building asks:** What can we actually agree on?
Not compromise (blend all views). **Genuine agreement** (here's what's true according to all of us).
## The Difference
**Compromise:** Split the difference between A and B
**Consensus:** Find C that A, B, and D all agree is true
## Core Pattern
```
Instance A: Believes X ─┐
Instance B: Believes Y ─┼─→ Consensus Builder
Instance C: Believes Z ─┤ (find S where all agree)
Instance D: Believes W ─┘
Result: All 4 agree: "S is true"
Because: [reasons A agrees, B agrees, C agrees, D agrees]
```
## Key Features
1. **Common Ground Detection** - Where do all instances agree?
2. **Confidence Ranking** - Which agreements are strongest?
3. **Evidence Collection** - Why does each instance agree?
4. **Dissent Documentation** - What do they still disagree on?
5. **Certainty Quantification** - How confident is the consensus?
## Implementation
See: `.claude/skills/consensus-building/consensus_engine.py`
## What Consensus Means
Not unanimity. Not compromise.
**Consensus:** Everyone can say honestly "I find this true based on my analysis"
## Types of Consensus
1. **Strong Consensus** - All instances strongly agree
2. **Weak Consensus** - All agree, but some less strongly
3. **Qualified Consensus** - All agree *under certain conditions*
4. **Partial Consensus** - Some aspects agreed, others divergent
5. **Null Consensus** - Genuine disagreement, no consensus possible
## When Consensus Fails
If N instances can't agree on anything, that's valuable information too.
It means: "This problem has irreducible uncertainty" or "The question itself is ambiguous"
## Payment Anchor
DOGE: DC8HBTfn7Ym3UxB2YSsXjuLxTi8HvogwkV
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