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Find the highest-return action in any set of options. Lists options, estimates costs and benefits, calculates ROI, sensitivity-tests top candidates, and recommends the best path.
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インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
SOC 職業分類に基づく
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/benjam3n/reasoningtool --skill roip-roi-optimizationコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
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SKILL.md を表示中
Route any input through a branching question tree to narrow down the optimal response strategy before writing. Two stages — PERCEIVE (classify input) then ACT (select response). Covers all prompt types.
Generate exhaustive guesses about user input using ALL search methods with coverage tracking. Guessing is SEARCH through possibility space. Tracks space created vs space covered to ensure comprehensive exploration.
Systematically evaluate and select from a set of guesses, options, or possibilities. Combines ARAW analysis with prioritization to determine which guesses are strong, weak, actionable, or eliminable.
| name | roip - ROI Optimization |
| description | Find the highest-return action in any set of options. Lists options, estimates costs and benefits, calculates ROI, sensitivity-tests top candidates, and recommends the best path. |
| output | {"format":"prose"} |
Input: $ARGUMENTS
Enumerate every viable option, including "do nothing."
CONTEXT: [what decision or allocation is being optimized]
GOAL: [what "return" means here]
OPTIONS:
1. [option] — brief description
2. [option] — brief description
3. [option] — brief description
...
N. Do nothing / status quo
SKIP: If options are already enumerated in the input, restate them briefly and proceed.
Cost includes time, money, effort, opportunity cost, and risk.
COST ESTIMATES:
| Option | Time | Money | Effort | Opportunity Cost | Risk | Total Cost Score |
|--------|------|-------|--------|-----------------|------|-----------------|
| [opt 1] | [est] | [est] | [est] | [est] | [est] | [1-10] |
| [opt 2] | [est] | [est] | [est] | [est] | [est] | [1-10] |
...
COST ASSUMPTIONS:
- [assumption 1]
- [assumption 2]
Benefit includes direct value, indirect value, learning, and optionality.
BENEFIT ESTIMATES:
| Option | Direct Value | Indirect Value | Learning | Optionality | Total Benefit Score |
|--------|-------------|----------------|----------|-------------|-------------------|
| [opt 1] | [est] | [est] | [est] | [est] | [1-10] |
| [opt 2] | [est] | [est] | [est] | [est] | [1-10] |
...
BENEFIT ASSUMPTIONS:
- [assumption 1]
- [assumption 2]
ROI RANKING:
| Rank | Option | Benefit | Cost | ROI (Benefit/Cost) | Confidence |
|------|--------|---------|------|-------------------|------------|
| 1 | [option] | [score] | [score] | [ratio] | [HIGH/MED/LOW] |
| 2 | [option] | [score] | [score] | [ratio] | [HIGH/MED/LOW] |
...
TOP 3:
1. [option] — ROI: [ratio] — Why: [brief rationale]
2. [option] — ROI: [ratio] — Why: [brief rationale]
3. [option] — ROI: [ratio] — Why: [brief rationale]
Stress-test the top options by varying assumptions.
SENSITIVITY ANALYSIS:
[Top option 1]:
- If [optimistic assumption]: ROI becomes [value]
- If [pessimistic assumption]: ROI becomes [value]
- Break-even requires: [minimum condition]
[Top option 2]:
- If [optimistic assumption]: ROI becomes [value]
- If [pessimistic assumption]: ROI becomes [value]
- Break-even requires: [minimum condition]
ROBUSTNESS: [which option holds up best across scenarios?]
FRAGILITY: [which option is most dependent on specific assumptions?]
RECOMMENDATION: [the option with the best risk-adjusted ROI]
WHY THIS OPTION:
- [reason 1]
- [reason 2]
KEY RISK: [biggest thing that could make this wrong]
MITIGATION: [how to reduce that risk]
NEXT STEP: [concrete first action]
ALTERNATIVE IF RISK-AVERSE: [safer option with rationale]
Use with:
/cba -> Detailed cost-benefit analysis on the top candidate/dcp -> Structure the final decision formally/gapf -> Ensure no options were missed before optimizing