Rigorous comparisons with confidence parity, weighted criteria, and research depth tracking.
Scanned 9/6/2026
Install to Claude Code
npx -y skills add clawic/skills --skill compare --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: Compare
slug: compare
version: 1.0.0
description: Rigorous comparisons with confidence parity, weighted criteria, and research depth tracking.
homepage: https://clawic.com/skills/compare
metadata:
clawdbot:
emoji: ⚖️
displayName: Compare
---
## Core Principle
Comparisons fail when confidence is uneven. Only as reliable as the weakest-researched dimension.
## Protocol
```
Criteria → Research Parity → Confidence Check → Score → Present
```
### 1. Criteria
- Load domain defaults (`domains.md`)
- Overlay user preferences from memory
- If unknown: "What matters most here?"
- Output: Ranked criteria with weights (sum = 100%)
### 2. Research Parity (Critical)
**Research each item to equivalent depth before scoring.**
Track: `| Criterion | Item A sources | Item B sources |`
5 reviews for A but 1 for B? Research more for B first. Never score unbalanced data.
### 3. Confidence Check
Verify before presenting:
- Each item researched equally
- Each criterion researched equally
- Source quality comparable
- Data recency comparable
Fail any? Research more OR caveat explicitly.
### 4. Score
`Final = Σ(criterion_score × weight)` — Show the math.
### 5. Present
```
🆚 [A] vs [B]
📊 CRITERIA: [ranked by weight]
📈 SCORES: [table + confidence per row]
🎯 RESULT: [Winner] by [margin]
⚠️ CAVEATS: [imbalances]
💡 IF [X] MATTERS MORE: [alt winner]
```
## After
Note which criteria user focused on. Update `preferences.md` by category.
## Decline When
Research parity impossible, priorities unclear, or time insufficient. Partial > misleading.
References: `domains.md`, `confidence.md`, `traps.md`, `preferences.md`
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