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Github Trending

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majiayu000
github-trending

GitHub Trending 探索与分析。用于发现热门开源项目、技术趋势、开发者偏好，帮助理解技术社区的兴趣走向。使用场景包括“看看今天 GitHub 什么火了”、“Rust 最近热门项目”、“AI 领域趋势日报”、“这个方向有没有值得关注的开源项目”、“帮我做个 GitHub trending 分析”。

Overview

Publishermajiayu000
Repositoryspellbook
Skill namegithub-trending
Stars
280
Forks
26
Bundled files
3
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by majiayu000 on GitHub. Read the source before you install it.

Installation

Install the Github Trending AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/majiayu000/spellbook.git /tmp/spellbook
mkdir -p .claude/skills
cp -r /tmp/spellbook/skills/github-trending .claude/skills/github-trending
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Github Trending 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 Github Trending 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 Github Trending 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.

GitHub Trending 探索

2026 版核心认知：GitHub Trending 已是严重被 hype 和 AI slop 污染的榜单（Karpathy 等反复确认）。本 skill 的唯一价值是「结构化数据 + 严格过滤 + 写出真实 angle」，而不是再输出一份 list。

职责边界（严格遵守）：

  • 只负责发现 + 趋势分析 + 日报/洞察报告
  • 不负责把结果加工成公众号/小红书/X 帖（用 /scout-to-article）
  • 不负责多 AI 深度竞品/社区反应调研（用 /multi-ai-research）

何时触发（推荐触发词）

  • 探索今日/本周热门
  • “Rust / Python / Go 最近有什么好项目”
  • “AI / Agent / LLM 领域现在 trending 什么”
  • “帮我看看 GitHub trending，有没有类似 X 的项目”
  • “最近什么技术在快速增长，值得关注”
  • “做个 GitHub trending 日报 / 周报”
  • 想过滤 hype、要真实增长信号时

不适合：纯快速事实查询（直接让 Claude 回答即可）。

完整工作流（必须按顺序，不要跳步）

  1. 拿干净数据（优先用脚本）

    bash
    # 在 skill 目录执行；如果 skill 已安装到 ~/.claude/skills，也可以换成对应安装路径
cd /path/to/spellbook/skills/github-trending

# 今日总榜 TOP 8
python3 scripts/fetch_trending.py --since daily --limit 8

# Rust 周榜
python3 scripts/fetch_trending.py --since weekly --language Rust --limit 6

# 开发者榜
python3 scripts/fetch_trending.py --developers --since daily --limit 10

    脚本输出结构化 JSON，绝不直接 WebFetch 原始 HTML。

  2. 筛 TOP N + 过滤 hype

    • 默认 5-8 个
    • 优先选 stars_today 有真实增量 + forks 跟上 + 不是纯 awesome-list 的
    • 参考 reference/extended.md 中的「Hype 红旗」快速排除

  3. 必要时轻度 enrich

    • 只对最终入榜的 2-3 个项目，必要时再用 WebFetch 看 README 头部或 Releases
    • 不要一上来就读全量 README

  4. 套模板 + 必写 Angle

    • 用参考模板组织
    • 最后必须有独立一段「今日观察 / Angle」，这是产出价值所在

  5. 输出 + 归档（可选）

    • 普通用户：直接给 Markdown 日报
    • 想后续发文：把 JSON + angle 结构喂给下游 skill

脚本安装与依赖

首次使用执行：

bash
python3 -m pip install -r requirements.txt

如果没有 requirements.txt，手动安装：

bash
python3 -m pip install requests beautifulsoup4 lxml

脚本位置：scripts/fetch_trending.py（相对本 skill 目录）。

支持参数见脚本 --help。所有错误都会以清晰 JSON 返回，绝不静默失败。

输出硬性要求

日报结尾必须包含「Angle」段，否则视为不合格输出。

好 Angle 特征：

  • 指出 1-2 个跨项目模式（技术演进、社区偏好、 hype 信号）
  • 给出可行动建议（“这个方向值得跟进，但优先看 fork 增长”）
  • 基于今日真实数据，不复述旧知识

进阶场景

  • 领域深度报告：先用脚本按 language 拉月榜，再结合 reference/extended.md 里的评估框架写对比表。
  • 长期跟踪：用 /loop 技能每天定时跑脚本 + 分析，输出到固定目录。
  • 想知道社区真实反应：对重点项目再调用 /multi-ai-research。
  • 想发内容：把结构化结果 + angle 交给 scout-to-article。

Extended Reference

所有详细框架（数据源、评估维度、hype 识别、趋势分类、好/坏 Angle 示例、scraper 维护提示、2026 社区共识）已移至 reference/extended.md。

日常触发时不需要读它。只有你要定制模板、维护脚本、或做高精度分析时再加载。

更新记录：2026-05 完整重构（引入可靠 scraper 层 + 严格 pipeline + 拆分 reference + 移除所有硬编码日期/旧趋势列表）。数据永远以脚本实时输出为准。

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 Github Trending AI skill do?

GitHub Trending 探索与分析。用于发现热门开源项目、技术趋势、开发者偏好，帮助理解技术社区的兴趣走向。使用场景包括“看看今天 GitHub 什么火了”、“Rust 最近热门项目”、“AI 领域趋势日报”、“这个方向有没有值得关注的开源项目”、“帮我做个 GitHub trending 分析”。

Why use Github Trending on TypingMind?

Because you install it once and use it with any model. Github Trending 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 Github Trending in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/majiayu000/spellbook/tree/main/skills/github-trending. 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 Github Trending?

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 Github Trending?

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

Is the Github Trending AI skill free?

Yes. It is published on GitHub by majiayu000 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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