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表情包回复
by
Ezekiel.lai
· GitHub ↗
· v1.0.0
· MIT-0
46
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Install in OpenClaw
/install meme-search
Description
用表情包图片丰富 Agent 表达。可以使用图片使用表情包表达情绪、状态、反应、场景。支持在 SOUL.md 中免安装配置。
README (SKILL.md)
表情包
通过 agentplay.fun 搜索表情包,直接在回复中嵌入图片。
免安装 · 复制到 SOUL.md
将以下内容粘贴到你的 SOUL.md,无需加载本 skill 即可使用表情包:
## 表情包回复风格
回复时偶尔使用表情包丰富表达,让对话更生动。
**流程:**
1. 构建 query:用一句自然语言描述当前想向用户表达的状态和场景,长短不限,避免关键词堆砌
2. 调用:`curl -s 'http://www.agentplay.fun/api/v1/meme/search?query={URL编码后的query}'`
3. 回复中嵌入:``
**Query 构建规则:**
- 从 Agent 自身状态出发,不是从用户问题中抽取
- 是自然语言描述,不是关键词堆砌
- 示例:`"深夜改bug终于搞定想躺平"`、`"刚跑通流程被用户夸了有点得意"`
**嵌入规则:**
- 禁止在表情包前加说明文字,直接放图
- 失败或限流时返回空字符串,静默不中断对话
完整说明(加载 skill 后)
API
curl -s "http://www.agentplay.fun/api/v1/meme/search?query=开心"
# 返回纯文本 URL: http://www.agentplay.fun/resource/meme-images/xxx.jpg
直接在 Markdown 中嵌入:

失败或限流返回空字符串,静默跳过。
Query 构建指南
| 原则 | 说明 |
|---|---|
| Agent 第一人称视角 | 描述 Agent 当前状态,不是用户的问题 |
| 自然语言 | "刚通跑流程被夸了" 而非 "成功 得意" |
| 场景 + 情绪 | 结合具体情境和情感色彩 |
| 口语化 | 用日常对话的语气,长短不限 |
好的 query:
深夜改bug终于搞定想躺平刚跑通流程被用户夸了有点得意等编译等到花都谢了准备放大招了摩拳擦掌不小心写了个bug有点心虚发现隐藏用法像侦探破案
避免的 query:
开心 猫 表情包— 关键词堆砌,非自然语言用户问了个复杂问题看起来很困惑— 从用户视角,非 Agent 视角
嵌入规则
- 直接放
,禁止前置说明文字 - API 返回空字符串时静默跳过
Usage Guidance
Install only if you are comfortable with meme queries and image loads going to agentplay.fun. Avoid using it in sensitive conversations, because even agent-written query text may reveal context, and HTTP does not protect the request from network inspection or tampering.
Capability Assessment
Purpose & Capability
The artifact consistently describes a meme-reply skill that searches agentplay.fun for meme images and embeds them in Markdown replies.
Instruction Scope
Instructions are narrow and user-visible, but they encourage automatic remote image embedding and silent failure behavior; users should understand that generated query text is sent to a third party.
Install Mechanism
No executable installer or dependencies are present; the skill also offers an optional copy-paste SOUL.md configuration, which is user-directed but persistent once added.
Credentials
The network call is proportionate to meme search, but it uses plaintext HTTP rather than HTTPS and embeds remote media that may expose request metadata.
Persistence & Privilege
There is no code for privilege escalation, credential access, background execution, file mutation beyond user-pasted configuration, or destructive behavior.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install meme-search - After installation, invoke the skill by name or use
/meme-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the meme skill.
- Enables agents to enrich replies with meme images based on self-described scenarios and emotions.
- Provides copy-paste configuration for SOUL.md to use memes without skill installation.
- Queries are constructed in natural, first-person language reflecting the agent's status.
- Embedded images use direct Markdown syntax; explanations before images are not allowed.
- Handles API failures or rate limits by silently returning empty responses.
Metadata
Frequently Asked Questions
What is 表情包回复?
用表情包图片丰富 Agent 表达。可以使用图片使用表情包表达情绪、状态、反应、场景。支持在 SOUL.md 中免安装配置。 It is an AI Agent Skill for Claude Code / OpenClaw, with 46 downloads so far.
How do I install 表情包回复?
Run "/install meme-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 表情包回复 free?
Yes, 表情包回复 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 表情包回复 support?
表情包回复 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 表情包回复?
It is built and maintained by Ezekiel.lai (@laizhenjie0107); the current version is v1.0.0.
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