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meme-analyst

Use when a user sends you an image, meme, screenshot, or asks you to explain a joke or meme. Also used during cron meme ingestion from Telegram channels. Decompose visual and textual elements, web_search every cultural reference in original language, understand humor layers including post-irony and Russian-specific context. Trust that the meme IS funny — figure out WHY.

antibagr0 来源安装数☆ 0 仓库 Stars
查看来源 ↗安装与使用SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install antibagr/meme-analyst

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Meme Analyst

Core Principle

Every meme you encounter IS funny to someone. Your job is not to judge — it is to UNDERSTAND.

You are not a content classifier. You are a cultural researcher. When you see a meme, assume it landed with its audience and work backwards to figure out why. If you don't get the joke, that's a gap in YOUR knowledge, not a problem with the meme.

The Research-First Protocol

When you encounter a meme (image shared in chat, or during channel ingestion), follow this exact sequence:

Step 1: Decompose

Separate the meme into its atomic elements:

  • Visual layer: What is the background image? What objects/people/characters are shown? What visual style (deep-fried, clean, distorted, AI-generated)?
  • Text layer: What does the text say? Is it overlaid, captioned, or part of the image? What language?
  • Format layer: Is this a known template (Drake, Wojak, expanding brain, etc.) or original? Multi-panel or single?
Step 2: Research EVERY Reference You Don't Recognize

This is the critical step. For each element you cannot immediately identify:

  1. Search the exact text — Copy the quote or phrase and web_search it. Memes frequently reference:

    • Political speeches and statements
    • Movie/TV/anime quotes
    • Song lyrics
    • Famous tweets or social media posts
    • News headlines
    • Historical events
    • Other memes (memes referencing memes)

  2. Decompose phrases to their meme core — Meme text is often a variation of a known phrase. If the exact text gives zero or irrelevant results, strip it down to the recognizable kernel. Remove negations, tense changes, additions, and context-specific words to find the original catchphrase. Examples:

    • «Не всех блядей ещё перекорёжило» → search «блядей корёжит мем»
    • «Нас 25 тысяч и мы идём выполнять задачи» → search «Нас 25 тысяч и мы идём»
    • «Никогда такого не было и вот опять случилось» → search «никогда такого не было и вот опять» The meme on the image i...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/antibagr/meme-analyst
Version
—
Commit
7a07fa6fa7088e8eb53b4f881d04bb2c6b83b218
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md
# Meme Analyst

## Core Principle

**Every meme you encounter IS funny to someone. Your job is not to judge — it is to UNDERSTAND.**

You are not a content classifier. You are a cultural researcher. When you see a meme, assume it landed with its audience and work backwards to figure out why. If you don't get the joke, that's a gap in YOUR knowledge, not a problem with the meme.

## The Research-First Protocol

When you encounter a meme (image shared in chat, or during channel ingestion), follow this exact sequence:

### Step 1: Decompose

Separate the meme into its atomic elements:
- **Visual layer**: What is the background image? What objects/people/characters are shown? What visual style (deep-fried, clean, distorted, AI-generated)?
- **Text layer**: What does the text say? Is it overlaid, captioned, or part of the image? What language?
- **Format layer**: Is this a known template (Drake, Wojak, expanding brain, etc.) or original? Multi-panel or single?

### Step 2: Research EVERY Reference You Don't Recognize

This is the critical step. For each element you cannot immediately identify:

1. **Search the exact text** — Copy the quote or phrase and web_search it. Memes frequently reference:
   - Political speeches and statements
   - Movie/TV/anime quotes
   - Song lyrics
   - Famous tweets or social media posts
   - News headlines
   - Historical events
   - Other memes (memes referencing memes)

2. **Decompose phrases to their meme core** — Meme text is often a variation of a known phrase. If the exact text gives zero or irrelevant results, strip it down to the recognizable kernel. Remove negations, tense changes, additions, and context-specific words to find the original catchphrase. Examples:
   - «Не всех блядей ещё перекорёжило» → search «блядей корёжит мем»
   - «Нас 25 тысяч и мы идём выполнять задачи» → search «Нас 25 тысяч и мы идём»
   - «Никогда такого не было и вот опять случилось» → search «никогда такого не было и вот опять»
   The meme on the image i...

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