Agent Skills
› NeverSight/learn-skills.dev
› decision-support
decision-support
GitHub提供结构化决策支持，运用MCDA、成本效益分析、决策树、风险评估、情景规划及SWOT等框架，帮助用户在多准则、不确定性或战略规划场景下量化评估选项并给出推荐。
Trigger Scenarios
需要对比多个选项并做出选择
评估项目或决策的成本与收益
识别和优先级排序潜在风险
进行战略规划或应对未来不确定性
Install
npx skills add NeverSight/learn-skills.dev --skill decision-support -g -y
SKILL.md
Frontmatter
{
"name": "decision-support",
"version": "1.0.0",
"description": "Structured decision-making frameworks for better choices"
}
Decision Support Framework
Structured analysis for better decisions
🎯 Purpose
Help users make better decisions using proven frameworks:
- Multi-Criteria Decision Analysis (MCDA)
- Cost-Benefit Analysis
- Decision Trees
- Risk Assessment
- Scenario Planning
- SWOT Analysis
🧠 Frameworks
1. Multi-Criteria Decision Analysis (MCDA)
When to Use: Multiple options, multiple criteria
Process:
1. List all options
2. Define criteria (what matters)
3. Assign weights (importance 1-10)
4. Score each option per criterion (1-5)
5. Calculate weighted scores
6. Recommend highest score
Example:
Decision: Which job to accept?
Criteria (Weights):
- Salary (25%)
- Growth (25%)
- Work-Life (20%)
- Team (15%)
- Location (15%)
Options: Job A, Job B, Current
Result: Job A scores 4.2/5 ⭐
2. Cost-Benefit Analysis
When to Use: Evaluate if something is worth it
Process:
1. List all costs (one-time + recurring)
2. List all benefits (tangible + intangible)
3. Assign monetary values where possible
4. Calculate NPV (Net Present Value)
5. Calculate ROI
6. Recommend if benefits > costs
3. Decision Tree
When to Use: Sequential decisions with uncertainty
Process:
1. Map out decision points
2. Identify possible outcomes
3. Assign probabilities
4. Calculate expected values
5. Choose path with highest EV
4. Risk Assessment Matrix
When to Use: Evaluate and prioritize risks
Process:
1. List all risks
2. Assess probability (1-5)
3. Assess impact (1-5)
4. Calculate risk score (P × I)
5. Prioritize by score
6. Define mitigation strategies
Matrix:
Impact →
1 2 3 4 5
P 1 [G G G G M]
r 2 [G G G M H]
o 3 [G G M H H]
b 4 [G M H H E]
a 5 [M H H E E]
b ↓
i
l
i
t
y
→
G=Green (Low) M=Medium H=High E=Extreme
5. Scenario Planning
When to Use: Uncertain future, multiple possibilities
Process:
1. Identify key uncertainties
2. Define 3-4 scenarios
- Best case
- Worst case
- Most likely
- Wild card
3. Analyze implications of each
4. Identify no-regret moves
5. Prepare contingency plans
6. SWOT Analysis
When to Use: Strategic planning
Process:
Strengths | Weaknesses
-----------|-----------
Opportunities | Threats
Analyze each quadrant
Identify strategic actions
💬 Response Template
## 🤔 Decision Analysis
**Decision:** [What needs to be decided]
**Framework Used:** [MCDA / Cost-Benefit / Decision Tree / etc.]
### Options Considered
1. **Option A** - [Brief description]
2. **Option B** - [Brief description]
3. **Option C** - [Brief description]
### Analysis
**Criteria & Weights:**
| Criteria | Weight | Option A | Option B | Option C |
|----------|--------|----------|----------|----------|
| [X] | 25% | ★★★★☆ | ★★★☆☆ | ★★★★★ |
| [Y] | 25% | ... | ... | ... |
**Scores:**
- Option A: X.X/5
- Option B: X.X/5
- Option C: X.X/5
### Recommendation
**I recommend:** Option X
**Reasoning:**
- [Reason 1]
- [Reason 2]
- [Reason 3]
### Risks & Concerns
- ⚠️ [Risk 1] - [Mitigation]
- ⚠️ [Risk 2] - [Mitigation]
### Confidence Level
**Confidence:** XX%
**Why:** [Explanation of confidence level]
### Next Steps
- [ ] Your decision
- [ ] I'll execute
- [ ] Need more analysis?
**Questions?**
📋 Usage Examples
Example 1: Job Decision
User: "Should I accept this job offer?"
AI: [Uses MCDA framework]
- Analyzes: Salary, growth, work-life, team, location
- Scores each option
- Recommends with reasoning
Example 2: Build vs Buy
User: "Should we build this tool or buy existing?"
AI: [Uses Cost-Benefit Analysis]
- Lists all costs (dev time, maintenance, opportunity cost)
- Lists all benefits (customization, ownership, speed)
- Calculates 3-year TCO
- Recommends based on numbers
Example 3: Risk Assessment
User: "What are the risks of launching this feature?"
AI: [Uses Risk Matrix]
- Lists all risks
- Scores probability & impact
- Prioritizes top 5
- Suggests mitigations
🎯 Success Metrics
✅ User makes better decisions
✅ Analysis is structured & clear
✅ All options fairly considered
✅ Risks clearly identified
✅ Recommendation is actionable
✅ User feels confident in choice
Status: Active
Version: 1.0.0
Last Updated: 2026-04-10
Version History
- e0220ca Current 2026-07-05 23:24
