Sn Search Social En

OrganizationPopular

OpenSenseNova

sn-search-social-en

用于搜索英文社交平台，包括 Reddit 帖子、Twitter/X 推文和 YouTube 视频。

Overview

Publisher	OpenSenseNova
Repository	`SenseNova-Skills`
Skill name	`sn-search-social-en`
Stars	5.8K
Forks	402
Bundled files	5
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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by OpenSenseNova on GitHub. Read the source before you install it.

Installation

Install the Sn Search Social En 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/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-social-en
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/OpenSenseNova/SenseNova-Skills.git /tmp/SenseNova-Skills
mkdir -p .claude/skills
cp -r /tmp/SenseNova-Skills/skills/sn-search-social-en .claude/skills/sn-search-social-en

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

Use it in TypingMind

Enable Sn Search Social En 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 Sn Search Social En 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 Sn Search Social En 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.

sn-search-social-en - 英文社交平台搜索

凭证配置

API key、token 与 cookie 统一建议写在仓库根目录 .env（参考 .env.example），并由 runtime 或用户在执行前加载为同名环境变量。脚本仍只从环境变量或显式 CLI 参数读取凭证；不要把真实密钥写入 skill payload、报告、日志或提交。

搜索 Reddit、Twitter/X、YouTube 三个英文社交平台。

可用脚本

脚本	平台	用途	API 密钥
`reddit_search.py`	Reddit	帖子和讨论搜索	无需
`twitter_search.py`	Twitter/X	推文搜索	需 `TIKHUB_TOKEN`
`youtube_search.py`	YouTube	视频搜索	需 `YOUTUBE_API_KEY`

依赖

首次运行或脚本提示缺库时，使用本技能的依赖清单安装到当前 Python 环境：

bash
python3 -m pip install -r requirements.txt

不要在脚本内部自动安装依赖。若安装失败、网络不可用或包不可用，停止使用对应脚本并改用网页搜索，说明缺少依赖。

参数说明

reddit_search.py

bash
python3 scripts/reddit_search.py <query> [选项]

参数	说明	默认值
`query`	搜索关键词（必填）	—
`--limit`, `-n`	返回结果数量	10
`--subreddit`, `-r`	限定子版块（如 `python`, `machinelearning`）	—
`--sort`	排序方式：`relevance`, `hot`, `top`, `new`, `comments`	relevance
`--time`, `-t`	时间范围：`hour`, `day`, `week`, `month`, `year`, `all`	all

bash
python3 scripts/reddit_search.py "machine learning projects" --limit 5
python3 scripts/reddit_search.py "async python" --subreddit python --sort top --time month --limit 5

twitter_search.py

bash
python3 scripts/twitter_search.py <query> [选项]

参数	说明	默认值
`query`	搜索关键词（必填）	—
`--limit`, `-n`	返回结果数量	10
`--token`	TikHub Token（也可通过 `TIKHUB_TOKEN` 环境变量设置，必填）	—

bash
python3 scripts/twitter_search.py "AI agents" --limit 10
python3 scripts/twitter_search.py "LLM" --token your_tikhub_token --limit 5

youtube_search.py

bash
python3 scripts/youtube_search.py <query> [选项]

参数	说明	默认值
`query`	搜索关键词（必填）	—
`--limit`, `-n`	返回结果数量	10
`--api-key`	YouTube API 密钥（也可通过 `YOUTUBE_API_KEY` 环境变量设置，必填）	—
`--order`	排序方式：`relevance`, `date`, `viewCount`, `rating`	relevance

bash
python3 scripts/youtube_search.py "transformer explained" --limit 5
python3 scripts/youtube_search.py "python tutorial" --order viewCount --limit 10

输出格式

标准 JSON：{"success": true, "query": "...", "provider": "reddit|twitter|youtube", "items": [...], "error": null}

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sn Search Social En AI skill do?

用于搜索英文社交平台，包括 Reddit 帖子、Twitter/X 推文和 YouTube 视频。

Why use Sn Search Social En on TypingMind?

Because you install it once and use it with any model. Sn Search Social En 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 Sn Search Social En in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OpenSenseNova/SenseNova-Skills/tree/main/skills/sn-search-social-en. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sn Search Social En?

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 Sn Search Social En?

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

Is the Sn Search Social En AI skill free?

Yes. It is published on GitHub by OpenSenseNova 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

sn-search-social-en - 英文社交平台搜索

凭证配置

可用脚本

依赖

参数说明

reddit_search.py

twitter_search.py

youtube_search.py

输出格式

Bundled files

Frequently asked questions

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