Wjs Explaining Tv Slang

Community

jianshuo

wjs-explaining-tv-slang

Use when the user asks what an American/British TV show or movie line, catchphrase, idiom, or slang means — "这句美剧台词什么意思", "XX 是什么梗", "老友记里那句…", "为什么这么说", "这个口头语怎么用", "what does 'X' mean in this show", or pastes a subtitle line / screenshot / SRT and wants the spoken English explained. Explains meaning, origin (why people say it), tone & offensiveness, when you can/can't use it, natural Chinese equivalent, examples, scene context, how to respond, and logs it to a personal 生词本. Triggers — "美剧口头语", "台词什么意思", "这是什么梗", "/wjs-explaining-tv-slang".

Overview

Publisher	jianshuo
Repository	`claude-skills`
Skill name	`wjs-explaining-tv-slang`
Stars	137
Forks	22
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by jianshuo on GitHub. Read the source before you install it.

Installation

Install the Wjs Explaining Tv Slang AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/jianshuo/claude-skills/tree/main/wjs-explaining-tv-slang
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/jianshuo/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/wjs-explaining-tv-slang .claude/skills/wjs-explaining-tv-slang

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wjs Explaining Tv Slang in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wjs Explaining Tv Slang on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wjs Explaining Tv Slang is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

美剧口头语解释器

核心原则

查字典给的是字面意思，看剧要懂的是这句话在那一刻干了什么——是在挖苦、撒娇、认怂、还是装傻。

裸模型解释口语常犯四个错，这个 skill 逐一钉住：

坑	表现	对策
只给字面义	"I'm good" 译成「我很好」，其实是「不用了谢谢」	必填「实际在干什么」一栏
不讲语气分量	把冒犯级的词当普通口语教给用户	必填语气/冒犯度 + 能不能用
编造剧集台词	张冠李戴「这是老友记 S3E5 的台词」	出处没核实就标「示意」，要具体集数先 WebSearch
翻译腔例句	中文对应说法生硬	给中文此情此景会怎么说，不是逐词翻

输入形态

单个词/短语："I'm down"、"no cap"、"that's on me"
一句台词 + 剧名（最好有上下文）：「绝命毒师里 Jesse 一直说 yo, bitch」
截图：读图里的字幕，先确认识别出的原句再解释
SRT / 字幕文件：批量扫，挑出口语/俚语/梗（跳过普通词汇），按出现顺序逐条用「速查格式」，最后给一张汇总表
用户没给剧名/上下文时不要先问——先按最常见用法解释，末尾提一句「如果是在某个具体场景里，告诉我剧名和前后台词，可能有别的意思」

输出格式（单条完整版）

用中文。按下面顺序，每节短而具体；不适用的节直接省略，别硬凑。

markdown
## "That's what she said"

**一句话**：把对方刚说的一句正经话，故意曲解成黄色双关的接梗。

### 1. 字面 vs 实际
- 字面：那是她说的
- 实际：「你这话听着有点黄啊」——一种低级但无害的冷笑话接茬

### 2. 为什么这么说（来源/逻辑）
词源、比喻逻辑、语法省略了什么、从哪个圈子/年代流行起来、有没有著名出处（核实过才写剧名+季集）。
讲清「为什么这几个词能表达这个意思」，让人以后能举一反三。

### 3. 语气与分量
| 维度 | 评级 |
|---|---|
| 正式度 | 很随意 / 随意 / 中性 / 正式 |
| 冒犯度 | 无 / 轻微 / 粗口 / 冒犯（会得罪人）/ 禁忌（别碰） |
| 情绪 | 调侃 / 讽刺 / 真诚 / 不耐烦 / 撒娇 … |
| 地域/人群 | 美式/英式/黑人英语 AAVE/青少年/职场/南方… |
| 时代感 | 现在常用 / 有点过时（像「给力」）/ 老派 / 网络新词 |

### 4. 你能不能用
- ✅ 可以：朋友之间、…
- ⚠️ 小心：…
- ❌ 别用：面试、对长辈、…（以及**非母语者说出来的效果**——有些词母语者说是好笑，外国人说就尴尬）

### 5. 中文怎么说
给 2–3 个**此情此景中国人会怎么说**的对应说法，标出最贴的那个。
如有字幕组常见误译，单列「⚠ 常见误译：…」。

### 6. 例句
3 句，覆盖不同场景（朋友/职场/恋人/家人…），每句英文 + 自然中文，
其中至少一句展示**语调/重音**怎么放（大写或加粗重读词）。

### 7. 剧里的上下文
- 用户给了具体场景：解释这句在**这一刻**的作用——谁对谁说、关系、潜台词、笑点/张力在哪
- 没给：举一个典型剧情场景（标「示意场景」，不冒充真实剧集）

### 8. 怎么接话
对方这么说时，常见的 2–3 种回应（顺着接 / 怼回去 / 正经回应）。

### 9. 近义 / 变体 / 反义
- 近义：…（区别在哪）
- 变体：缩写、网络写法（如 "ngl"、"fr"）
- 容易混淆：长得像但意思不同的（如 "I'm down" vs "I'm feeling down"）

### 10. 发音
连读、吞音、重音位置，母语者实际听起来像什么（如 "gonna" /ˈɡʌnə/、"whaddaya"）。

### 💡 记忆钩子
一句话帮助记住，最好有画面感。

速查格式（批量/SRT 用）

每条一段：

markdown
**"I'm good"**（00:12:34）— 不用了谢谢（拒绝，不是「我很好」）· 随意 · 无冒犯
> 中文：不用啦｜例：Want some fries? — I'm good.

末尾汇总表：| 时间 | 原句 | 实际意思 | 冒犯度 |

事实纪律

出处必须可信：说「出自 XX 剧 SxEy」之前先 WebSearch 确认；查不到就只说「因 XX 剧流行」或干脆不提。
新词先查：2023 年后的网络俚语（Gen Z / Gen Alpha 用语、TikTok 梗）用 WebSearch 核实当前用法，Urban Dictionary 只作参考、取高票释义。
多义要摊开：一个词有多个常见意思（如 "sick" = 病了 / 酷毙了），列出来并说明怎么靠上下文区分。
不确定就说不确定：口语里的模糊地带直接标「这一点母语者之间也有分歧」。
粗口照样解释：用户是学语言，脏话、种族相关词要如实解释含义和分量，重点放在「为什么不能用、在剧里是什么效果」，不回避也不鼓励。

生词本

每解释完一条（批量模式每条），追加一行到 ~/code/tv-slang/notebook.md（不存在就建，表头如下）。只追加不改历史；同一个词再次被问到，追加新行并在备注写「复习」。

markdown
| 日期 | 原句 | 实际意思 | 冒犯度 | 出处/剧 | 备注 |
|---|---|---|---|---|---|

用户说「复习生词本」「考考我」时：从 notebook.md 随机抽 5 条（优先抽「复习」次数多的），给剧情场景让用户猜意思，答完再揭晓。

Frequently asked questions

What does the Wjs Explaining Tv Slang AI skill do?

Why use Wjs Explaining Tv Slang on TypingMind?

Because you install it once and use it with any model. Wjs Explaining Tv Slang is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wjs Explaining Tv Slang in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jianshuo/claude-skills/tree/main/wjs-explaining-tv-slang. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wjs Explaining Tv Slang?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wjs Explaining Tv Slang?

As many as you like. As long as a model supports skills, you can use Wjs Explaining Tv Slang with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wjs Explaining Tv Slang AI skill free?

Yes. It is published on GitHub by jianshuo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

美剧口头语解释器

核心原则

输入形态

输出格式（单条完整版）

速查格式（批量/SRT 用）

事实纪律

生词本

Frequently asked questions

Related AI Skills

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