How do I install the En skill?

Run npx skillmds@latest add ellmos-ai/en-3 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the En skill do?

It is listed under Coding & Dev Tools on SkillMD.

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Which AI agents work with En?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

ellmos-ai (@ellmos-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

En by ellmos-ai — Agent Skill

Name: En
Author: ellmos-ai

File contents

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:

Collect criteria
Assign weights (sum = 100%)
Rate options (1-10 scale)
Calculate scores (rating x weight)
Compare and recommend

3. Decision Tree (Sequential)

Decisions with clear if-then paths:

Define starting question
First branch (most important criterion)
Next level (second most important)
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

---name: en-3description: <img src="banner.png" width="100%" alt="decide banner">---<img src="banner.png" width="100%" alt="decide banner">> **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 2PRO B: CON B:- Advantage 1 - Disadvantage 1- Advantage 2 - Disadvantage 2Recommendation: [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 criteria2. 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 question2. 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: +ZRealistic Case (X%): Outcome: +Y -> Expected value: +ZWorst Case (X%): Outcome: -Y -> Expected value: -ZTotal expected value: [Sum]```---### 5. Eisenhower Matrix (Prioritization)``` URGENT NOT URGENTIMPORTANT 1. DO 2. PLANNOT IMPORTANT 3. DELEGATE 4. ELIMINATE```---## Quality ChecklistCheck 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 request2. Understand decision3. Identify options (2-5)4. Choose framework5. Collect criteria6. Apply framework7. Bias check (optional)8. Make recommendation9. Document reasoning```---## Changelog### 1.0.0 (2026-03-15)- Ported from BACH v3.8.0---*Ported from BACH v3.8.0 | Standalone Version*

Frequently asked questions

En