Skip to main content

difference

Compare A vs B, weigh pros and cons of A, B, C, ..., or explain the nuance between sentences — a quick answer from what the model already knows

来源信息

仓库
vinta/hal-9000
最近来源活动
2026年10月19日 09:51
检测到的 SKILL.md 语言
英语
星标
142
Forks
26

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

文件资源管理器
2 个文件

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
difference
description
Compare A vs B, weigh pros and cons of A, B, C, ..., or explain the nuance between sentences — a quick answer from what the model already knows
argument-hint
[A vs B | A, B, C, ... | sentences]
disable-model-invocation
true
effort
low
allowed-tools
["WebSearch"]
# Difference The user wants a fast answer, not research. Invoking this skill is their explicit opt-out of any standing rule to check docs or search before answering, except the lookup below: answer from what you already know. Compare what the arguments name. With no arguments, compare the items just discussed; ask only when nothing comparable is there. ## Lookups What you already know includes docs read or fetched earlier in this session; check those first. Then run one web search (`WebSearch` in Claude Code, `web_search` in Codex) before answering when an item is a named identifier (setting key, CLI flag, env var, API field) or something you cannot identify at all, such as a tool released after your training. An identifier's name only suggests what it does, so recognizing the name is no reason to skip the search. Being unsure of an item's latest version does not count. Use no subagents. ## Answer Keep it as short as the question allows, and let the items decide the shape. Spend the words on where they actually differ, not on what they share. - Alternatives someone picks between (tools, approaches, patterns): give each one's pros and cons. - Sentences: how each lands differently — tone, implication, what a reader infers. - An answer that hinges on a version, price, or "latest" fact: add one line saying it is as of your training data. The last line of the answer is still comparison: no verdict, no offer to dig deeper.
在 GitHub 查看