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github-trending-analyzer

获取、分类并总结GitHub趋势项目，涵盖每日、每周和每月的时间跨度。当用户请求“趋势项目”、“最新热门仓库”或“GitHub趋势摘要”时使用，以提供带有完整超链接的结构化、分类报告。

person作者: jakexiaohubgithub
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GitHub Trending Analyzer

Provide a comprehensive, categorized summary of the latest trending repositories on GitHub.

Step 0: Ask Output Format

Before doing anything else, ask the user:

你想要哪种输出格式？

  1. 📝 Markdown — 对话中展示 + 存入 Obsidian
  2. 🎨 HTML — Pinterest 风格网页 + 存入 Obsidian
  3. 📝+🎨 Both — 两个都要

（直接回复 1/2/3 或 md/html/both）

If the user already specified a format in their command arguments (e.g., html, md, both), skip the question and proceed directly. Default to Markdown if no clear preference.

Step 1: Fetch Data

The shell script may fail due to GitHub HTML changes. Use this fallback strategy:

  1. Try the script first: scripts/fetch_trending.sh daily|weekly|monthly
  2. If empty results, fall back to gh api with GitHub Search API:
    • Daily proxy (active high-star repos pushed in last 7 days): 
      gh api "search/repositories?q=stars:>1000+pushed:>YYYY-MM-DD&sort=stars&order=desc&per_page=30"
    • Weekly (new repos created in last 7 days, sorted by stars): 
      gh api "search/repositories?q=created:>YYYY-MM-DD&sort=stars&order=desc&per_page=30"
    • Monthly (new repos created in last 30 days, sorted by stars): 
      gh api "search/repositories?q=created:>YYYY-MM-DD&sort=stars&order=desc&per_page=30"
    • Today's hottest (high-star repos pushed today): 
      gh api "search/repositories?q=stars:>5000+pushed:>YYYY-MM-DD&sort=updated&order=desc&per_page=25"
    • Brand new (created in last 2 days): 
      gh api "search/repositories?q=created:>YYYY-MM-DD&sort=stars&order=desc&per_page=20"
  3. Use --jq to extract: full_name, language, stargazers_count, description, created_at

Step 2: Full Inventory & Deduplication

  • List every single project found. Do not omit any.
  • Note projects appearing in multiple spans (e.g., "Daily + Monthly").

Step 3: Deep Categorization (2-Level Hierarchy)

Use a 2-level taxonomy when total projects > 30 — flat single-level becomes a wall of cards. Single-level is fine for < 30 projects.

Method: explicit full_name → (macro, sub) mapping

Keyword-heuristic categorization (if 'skill' in desc and ...) leaves ~20% of projects in a useless "other" bucket. Explicit per-project mapping is 100% coverage and faster to maintain at this scale (≤ 200 projects). See references/hierarchical-classification.md for the canonical pattern.

Recommended 7 macro themes

These are starting points — adjust based on what today's data actually surfaces:

  • 🤖 AI Native 开发栈 — Skills, AI 编码 CLI, agent harness, LLM 平台, AI workspace, 评估/可观测, MCP/SDK
  • 🎨 模型 & 创意生成 — 大模型, 多模态生成, 模型硬件
  • 🛡️ 安全 & 防御 — 防御/威胁建模, 供应链/扫描, OSINT, dual-use 漏洞
  • 🛠️ 工程 & 生产力 — macOS/iOS, 终端, Web, 数据集成, 业务/SaaS 替代
  • 🔬 研究 & 学习资源 — 教育资源, awesome 清单, RAG/知识系统
  • 🌳 平台 & 经典基础设施 — 前端框架, 系统/内核, 通用开发工具
  • 🌎 其它 — 可疑/Game exploit, 无描述, 游戏移植

Sub-buckets emerge from the data

Don't pre-fix sub-buckets — let the data shape them. Example from 2026-06-16 run: Skills macro naturally split into 5 subs (创意/媒体, 写作/语言, 工作流/方法论, 研究/学术, 通用集合) once the 19 projects were laid out. Resist over-engineering: 3-7 subs per macro is the sweet spot.

No "other" catch-all

If "其它" exceeds 8 projects, force them into named buckets even if narrow (e.g. ⚠️ 可疑/Game exploit, ❓ 无描述/不明, 🎮 游戏移植). This makes suspicious items more visible, not less.

Step 4: Hyperlinking

Every project MUST include its full GitHub URL: [user/repo](https://github.com/user/repo)

Step 5: Strategic Insights

Identify 3-5 high-level trends. Include a one-sentence "vibe summary" of the day.

Step 6: Output

Based on the user's format choice:

Markdown (option 1)

Output in conversation:

# GitHub Trending 全景分析（YYYY-MM-DD）

## 📅 Part 1：完整热门列表
### 🔴 每日热门（Daily）  — table
### 🟡 每周热门（Weekly） — table
### 🟢 每月热门（Monthly）— table

## 🏗️ Part 2：分类分析
(One table per category)

## 💡 Part 3：战略洞察
(3-5 insights + vibe summary)

HTML (option 2)

Generate a single self-contained HTML file following the design spec in references/pinterest-design.md. Open in browser with open <path>.

For longer reports (≥ 6 macro sections), include a floating mini-TOC as specified in the design doc — fixed right-side panel with scroll-spy and collapsible sub-buckets. Avoid the inline full-width TOC: it eats first-screen real estate.

Both (option 3)

Show Markdown in conversation AND generate the HTML file.

Step 7: Save to Obsidian

After generating, save to the Obsidian vault:

  • Vault path: Read ~/Library/Application Support/obsidian/obsidian.json, pick the accessible vault.
  • Folder: GitHub-Trending/
  • Markdown: GitHub-Trending/YYYY-MM-DD.md with frontmatter: 
    ---
date: YYYY-MM-DD
type: github-trending
tags: [github, trending, AI, open-source]
---
  • HTML: GitHub-Trending/YYYY-MM-DD.html
  • Only save the format(s) the user requested.
  • If the vault is not accessible (permission error), save to the working directory and inform the user.

Language

If the user passes 中文 as argument, output everything in Chinese. Otherwise default to English.