GitHub Trending Report

by coderyi

Use the `github-discover` CLI to fetch real-time GitHub data and generate structured trending reports — discover fast-rising repositories, newly popular projects, and hot topic tags.

3.7k编码与调试未扫描2026年3月23日

安装

claude skill add --url github.com/openclaw/skills/tree/main/skills/coderyi/github-trending-report

文档

Use the github-discover CLI to fetch real-time GitHub data and generate structured trending reports — discover fast-rising repositories, newly popular projects, and hot topic tags.

Installation

bash
npm install -g github-discover

Requires Node.js 18+. Check with node --version.

Prerequisites

  • Node.js ≥ 18
  • github-discover installed globally (see Installation above)

Commands

trending — Fastest-growing repositories

Ranked by daily average stars with a 30-day smoothing factor, removing age bias to surface genuinely fast-rising projects.

bash
github-discover trending [options]
OptionDescriptionDefault
-pPeriod: daily / weekly / monthly / yearlydaily
-nNumber of results (1–100)50
-lFilter by programming language (e.g. python, typescript)all
-sMinimum star thresholdauto by period
--jsonOutput as JSON

popular — New high-star repositories

Sorted by raw star count descending, focused on recently created high-popularity projects.

bash
github-discover popular [options]

Same options as trending.

topic — Hot topic tags

Scored by repoCount × log10(starSum) to surface trending technology topics.

bash
github-discover topic [options]
OptionDescriptionDefault
-pPeriod: daily / weekly / monthly / yearlydaily
-nNumber of results (1–100)30
--jsonOutput as JSON

Data Windows (trending command)

PeriodRepository creation range
dailyCreated within last 7 days
weeklyCreated within last 28 days
monthlyCreated within last 90 days
yearlyCreated within last 730 days

Standard Workflow for Generating a Report

When a user requests a GitHub trending report, follow these steps:

Step 1: Verify the tool is available

bash
github-discover --version

If the command is not found, prompt the user to run npm install -g github-discover, then stop.

Step 2: Determine the time period

Infer the period from the user's request:

  • "today" / "latest" / "right now" → daily
  • "this week" / "weekly" → weekly
  • "this month" / "monthly" → monthly
  • "this year" / "annual" → yearly
  • Not specified → default to daily

Step 3: Fetch all three data sets in parallel

bash
github-discover trending -p <period> -n 10 --json
github-discover popular  -p <period> -n 10 --json
github-discover topic    -p <period> -n 10 --json

If the user specified a language (e.g. Python, TypeScript), append -l <language> to the trending and popular commands.

Step 4: Generate the structured report

Combine the JSON output from all three commands and produce a report in the following format:


📈 GitHub <Period> Trending Report

1. Fastest-Growing Projects

Source: trending — reflects real growth velocity, age bias removed

List Top 5–10 entries, each with:

  • Repository name (with link)
  • Short description
  • Star count / daily average growth
  • Primary language

2. Newly Popular Repositories

Source: popular — recently created projects gaining rapid traction

List Top 5–10 entries, same format as above.

3. Hot Topics

Source: topic — scored by repository count × star magnitude

List Top 10 topic tags with a brief description of each technology area.

4. AI Insights

Based on the data above, provide:

  • A 2–3 sentence summary of the key technical trends this period
  • Projects or movements worth watching closely
  • If a language filter was applied, a brief analysis of that ecosystem's current state

Limitations

  • Data is sourced from the GitHub Search API; freshness depends on GitHub's indexing lag
  • The trending growth score is estimated from creation time and star count, and it is not GitHub's official Trending page data
  • The -l language filter matches only the repository's primary language; multi-language projects may be excluded

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