# En
> 
- Skill: `ellmos-ai/en-3` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ellmos-ai/en-3`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ellmos-ai/en-3/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: ellmos-ai (https://skillmd.com/u/ellmos-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ellmos-ai/en-3
---
> **English** — Official English version of `decide`.
# Decide — Structured Decision Making
> Rational decisions through structured frameworks and evaluation methods
---
## When to Use?
- Choosing between options
- Need a pro/con list
- Multi-criteria decision
- Uncertain about important decisions
**Trigger words:** decide, choose, compare, evaluate, weigh
---
## Frameworks
### 1. Pro/Con Matrix (Simple)
Quick decisions between 2 options.
```
PRO A: CON A:
- Advantage 1 - Disadvantage 1
- Advantage 2 - Disadvantage 2
PRO B: CON B:
- Advantage 1 - Disadvantage 1
- Advantage 2 - Disadvantage 2
Recommendation: [A/B] because [reasoning]
```
---
### 2. Weighted Scoring (Complex)
Multi-criteria decisions with weighting.
| Criterion | Weight | Option A | Score A | Option B | Score B |
|-----------|--------|----------|---------|----------|---------|
| Criterion 1 | 30% | 8 | 2.4 | 6 | 1.8 |
| Criterion 2 | 25% | 7 | 1.75 | 9 | 2.25 |
| TOTAL | 100% | - | X.XX | - | X.XX |
**Process:**
1. Collect criteria
2. Assign weights (sum = 100%)
3. Rate options (1-10 scale)
4. Calculate scores (rating x weight)
5. Compare and recommend
---
### 3. Decision Tree (Sequential)
Decisions with clear if-then paths:
1. Define starting question
2. First branch (most important criterion)
3. Next level (second most important)
4. Down to final option
---
### 4. Scenario Analysis (Uncertainty)
```
Best Case (X% probability):
Outcome: +Y points -> Expected value: +Z
Realistic Case (X%):
Outcome: +Y -> Expected value: +Z
Worst Case (X%):
Outcome: -Y -> Expected value: -Z
Total expected value: [Sum]
```
---
### 5. Eisenhower Matrix (Prioritization)
```
URGENT NOT URGENT
IMPORTANT 1. DO 2. PLAN
NOT IMPORTANT 3. DELEGATE 4. ELIMINATE
```
---
## Quality Checklist
Check before final recommendation:
- [ ] All relevant criteria identified?
- [ ] User values considered?
- [ ] Long-term effects considered?
- [ ] Risks identified and evaluated?
- [ ] Bias check performed?
- [ ] Reversibility assessed?
---
## Best Practices
### Defining Criteria
- Specific and measurable
- Not too many (3-7 ideal)
- Independent of each other
### Weighting
- Sum = 100%
- Most important criterion >= 25%
- No weights < 5%
### Recommendation
- Clear and reasoned
- Mention alternatives
- Name risks
- Consider reversibility
---
## Workflow & Procedure
```
1. User request
2. Understand decision
3. Identify options (2-5)
4. Choose framework
5. Collect criteria
6. Apply framework
7. Bias check (optional)
8. Make recommendation
9. Document reasoning
```
---
## Changelog
### 1.0.0 (2026-03-15)
- Ported from BACH v3.8.0
---
*Ported from BACH v3.8.0 | Standalone Version*