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Decision Dynamo

该 Skill 让用户为 2-4 个选项在 5 项可配置标准上打分并设定权重，通过本地 Python 脚本计算加权总分与排名，帮助在多个选择间做结构化比较；其中负面标准会被反转，使负担越低得分越高。支持交互提示与 JSON 输入两种模式。

mdomerofski
mdomerofski
热度 51.03
最近更新 2026-05-11 17:29:21
分类：效率依赖：代码执行 / 读写文件应用场景：工作流 / 模板 / 推荐

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add decision-dynamo
Metadata
name
decision-dynamo
description
Run a weighted decision matrix to score and rank 2-4 options across 5 configurable criteria. Use when a user needs help choosing between options, comparing tradeoffs, or making a structured decision. Triggers on phrases like "help me decide", "which option is better", "decision matrix", "weigh my options", or "I can't choose between".

Decision Dynamo

Run a weighted matrix analysis to score and rank options objectively.

Workflow

  1. Gather options — Identify 2–4 named choices to compare.
  2. Set weights — Ask the user to rate how important each of the 5 criteria is (1–10).
  3. Score options — For each option, rate it 1–10 on each criterion.
  4. Run the matrix — Execute scripts/decision_matrix.py (interactive or JSON mode).
  5. Present results — Share the ranked output and briefly explain the winner.

Running the Script

Interactive mode (guided prompts):

python3 scripts/decision_matrix.py

JSON mode (pre-built input):

python3 scripts/decision_matrix.py input.json

See references/criteria.md for the JSON schema, criteria definitions, scoring scale, and inversion logic for negative criteria.

The Five Criteria

Criterion Type
Skill/Leverage Gain Positive
Goal Alignment Positive
Mental/Emotional Drag Negative (inverted)
Financial Cost Negative (inverted)
Time and Effort Negative (inverted)

Negative criteria use (11 - score) * weight so that less drag = higher score.

Agent Guidance

  • If the user hasn't defined weights, suggest defaults (all equal at 5) and ask if they want to adjust.
  • If scoring feels subjective, help the user by asking "on a scale of 1–10, how much does this option [criterion]?"
  • After presenting results, offer to re-run with adjusted weights to test sensitivity.
  • Always show the winner clearly and explain why it scored highest in plain language.