benjam3n
benjam3n/reasoningtool
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/benjam3n/reasoningtool --skill cms-component-selection命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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.
基于 SOC 职业分类
正在显示 SKILL.md
| name | cms - Component Selection |
| description | A structured procedure for evaluating multiple component options against |
| output | {"format":"prose"} |
A structured procedure for evaluating multiple component options against requirements, scoring them objectively, and selecting the best fit. Produces documented rationale for the selection.
Collect all requirements that constrain selection
Find candidate components that might meet requirements
Create weighted scoring criteria
Rate each option against all criteria
Review scores and identify best option
Record final choice with rationale