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Github Trending Skill for Claude

by majiayu000

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”。

5k tokens
context cost
the whole folder, loaded on every use
4
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
242
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/majiayu000/spellbook --skill github-trending

The instruction itself

2 sections, as written by the author

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）

  • 拿干净数据（优先用脚本）
   # 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。

  • 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
  • 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
  • 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
  • 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：

python3 -m pip install -r requirements.txt

如果没有 requirements.txt，手动安装：

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。

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How to use it

Copy the folder

Take majiayu000/github-trending from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.