Agent skill · Backend & API

explorer

Search and analyze trending GitHub repositories by topics, star count, and creation date. Supports filtering by multiple tags, minimum stars, and time range. Use when the user needs to discover popular open-source projects on GitHub. Optionally uses GITHUB_TOKEN for higher API rate limits.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill explorer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/explorer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# GitHub Projects Explorer 发现并分析 GitHub 上的热门开源项目，支持多维度搜索和筛选。 发现并分析 GitHub 上的热门开源项目，支持多维度搜索和筛选。 ## 功能特性 - 🏷️ **多标签筛选** - 支持一个或多个项目标签 - ⭐ **Star 数量过滤** - 按最低 Star 数筛选 - 📅 **时间范围** - 筛选最近 N 天内创建的项目 - 🔤 **编程语言** - 按编程语言筛选 - 📊 **智能排序** - 支持 Stars/Forks/更新时间排序 ## 前提条件 ### 可选：配置 GitHub Token GitHub API 有请求限制（未认证 60次/小时，认证 5000次/小时）。 ```bash # 获取 Token: https://github.com/settings/tokens export GITHUB_TOKEN="your_github_token" ``` 添加到 `~/.zshrc`： ```bash echo 'export GITHUB_TOKEN="your-token"' >> ~/.zshrc source ~/.zshrc ``` ## 使用方法 ### 基础搜索 **按标签搜索：** ```bash python3 scripts/github_projects.py --topic python ``` **多个标签（与关系）：** ```bash python3 scripts/github_projects.py --topic python --topic machine-learning ``` ### 按 Star 数量筛选 ```bash # 查找 Star > 1000 的 Python 项目 python3 scripts/github_projects.py --topic python --stars 1000 # 查找 Star > 10000 的 AI 项目 python3 scripts/github_projects.py --topic ai --stars 10000 ``` ### 按时间筛选（最近 N 天） ```bash # 最近 30 天内创建的 Python 项目 python3 scripts/github_projects.py --topic python --days 30 # 最近 7 天内创建的高 Star AI 项目 python3 scripts/github_projects.py --topic ai --stars 100 --days 7 ``` ### 按编程语言筛选 ```bash # Rust 语言的项目 python3 scripts/github_projects.py -

What's inside
Steps it walks through
  1. 功能特性
  2. 前提条件
  3. 可选：配置 GitHub Token
  4. 使用方法
  5. 基础搜索
  6. 按 Star 数量筛选
  7. 按时间筛选（最近 N 天）
  8. 按编程语言筛选
  9. 综合示例
  10. 输出格式
  11. 命令参数
  12. 排序选项
  13. 热门标签推荐
  14. 常见问题
Ships with 1 file
  • metadata.json
Commands it runs
export GITHUB_TOKEN="your_github_token"
echo 'export GITHUB_TOKEN="your-token"' >> ~/.zshrc
source ~/.zshrc
python3 scripts/github_projects.py --topic python
python3 scripts/github_projects.py --topic python --topic machine-learning
python3 scripts/github_projects.py --topic python --stars 1000
python3 scripts/github_projects.py --topic ai --stars 10000
python3 scripts/github_projects.py --topic python --days 30
python3 scripts/github_projects.py --topic ai --stars 100 --days 7
Rust 语言的项目
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About this skill
What does the explorer skill do?

Search and analyze trending GitHub repositories by topics, star count, and creation date. Supports filtering by multiple tags, minimum stars, and time range. Use when the user needs to discover popular open-source projects on GitHub. Optionally uses GITHUB_TOKEN for higher API rate limits.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill explorer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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