Github Trending logo

Github Trending

Community
hoodini
github-trending

Fetch and display GitHub trending repositories and developers. Use when building dashboards showing trending repos, discovering popular projects, or tracking GitHub trends. Triggers on GitHub trending, trending repos, popular repositories, GitHub discover.

Overview

Publisherhoodini
Repositoryai-agents-skills
Skill namegithub-trending
Stars
280
Forks
62
Bundled files
Instructions only
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by hoodini 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/hoodini/ai-agents-skills.git /tmp/ai-agents-skills
mkdir -p .claude/skills
cp -r /tmp/ai-agents-skills/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 Data

Access GitHub trending repositories and developers data.

Important Note

GitHub does NOT provide an official trending API. The trending page at github.com/trending must be scraped directly or use the GitHub Search API as an alternative.

Approach 1: Direct Web Scraping (Recommended)

Scrape github.com/trending directly using Cheerio:

typescript
import * as cheerio from 'cheerio';

interface TrendingRepo {
  owner: string;
  name: string;
  fullName: string;
  url: string;
  description: string;
  language: string;
  languageColor: string;
  stars: number;
  forks: number;
  starsToday: number;
}

async function scrapeTrending(options: {
  language?: string;
  since?: 'daily' | 'weekly' | 'monthly';
} = {}): Promise<TrendingRepo[]> {
  // Build URL: github.com/trending or github.com/trending/typescript?since=weekly
  let url = 'https://github.com/trending';
  if (options.language) {
    url += `/${encodeURIComponent(options.language)}`;
  }
  if (options.since) {
    url += `?since=${options.since}`;
  }

  const response = await fetch(url, {
    headers: {
      'User-Agent': 'Mozilla/5.0 (compatible; TrendingBot/1.0)',
    },
  });
  
  if (!response.ok) {
    throw new Error(`Failed to fetch trending: ${response.status}`);
  }

  const html = await response.text();
  const $ = cheerio.load(html);
  const repos: TrendingRepo[] = [];

  // Each trending repo is in an article.Box-row element
  $('article.Box-row').each((_, element) => {
    const $el = $(element);
    
    // Get repo link (e.g., /owner/repo)
    const repoLink = $el.find('h2 a').attr('href')?.trim() || '';
    const [, owner, name] = repoLink.split('/');
    
    // Get description
    const description = $el.find('p.col-9').text().trim();
    
    // Get language
    const language = $el.find('[itemprop="programmingLanguage"]').text().trim();
    
    // Get language color from the colored dot
    const langColorStyle = $el.find('.repo-language-color').attr('style') || '';
    const langColorMatch = langColorStyle.match(/background-color:\s*([^;]+)/);
    const languageColor = langColorMatch ? langColorMatch[1].trim() : '';
    
    // Get stars (total)
    const starsText = $el.find('a[href$="/stargazers"]').text().trim();
    const stars = parseNumber(starsText);
    
    // Get forks
    const forksText = $el.find('a[href$="/forks"]').text().trim();
    const forks = parseNumber(forksText);
    
    // Get stars today/this week/this month
    const starsTodayText = $el.find('.float-sm-right, .d-inline-block.float-sm-right').text().trim();
    const starsToday = parseNumber(starsTodayText);

    if (owner && name) {
      repos.push({
        owner,
        name,
        fullName: `${owner}/${name}`,
        url: `https://github.com${repoLink}`,
        description,
        language,
        languageColor,
        stars,
        forks,
        starsToday,
      });
    }
  });

  return repos;
}

function parseNumber(text: string): number {
  const clean = text.replace(/,/g, '').trim();
  if (clean.includes('k')) {
    return Math.round(parseFloat(clean) * 1000);
  }
  return parseInt(clean) || 0;
}

Approach 2: GitHub Search API (Official Alternative)

Use GitHub's Search API to find recently created repos with high stars:

typescript
interface GitHubSearchResult {
  total_count: number;
  items: GitHubRepo[];
}

interface GitHubRepo {
  full_name: string;
  html_url: string;
  description: string;
  language: string;
  stargazers_count: number;
  forks_count: number;
  created_at: string;
}

async function getTrendingViaSearch(options: {
  language?: string;
  days?: number;
  minStars?: number;
} = {}): Promise<GitHubRepo[]> {
  const days = options.days || 7;
  const minStars = options.minStars || 100;
  
  // Calculate date N days ago
  const date = new Date();
  date.setDate(date.getDate() - days);
  const since = date.toISOString().split('T')[0];

  // Build search query
  const queryParts = [
    `created:>${since}`,
    `stars:>=${minStars}`,
  ];
  if (options.language) {
    queryParts.push(`language:${options.language}`);
  }
  const query = queryParts.join(' ');

  const response = await fetch(
    `https://api.github.com/search/repositories?q=${encodeURIComponent(query)}&sort=stars&order=desc&per_page=25`,
    {
      headers: {
        'Accept': 'application/vnd.github.v3+json',
        'Authorization': `Bearer ${process.env.GITHUB_TOKEN}`, // Optional but recommended
        'User-Agent': 'TrendingApp/1.0',
      },
    }
  );

  if (!response.ok) {
    throw new Error(`GitHub API error: ${response.status}`);
  }

  const data: GitHubSearchResult = await response.json();
  return data.items;
}

Note: The Search API has rate limits (10 requests/minute unauthenticated, 30/minute with token).

Next.js API Route (Server-Side Scraping)

typescript
// app/api/trending/route.ts
import { NextRequest } from 'next/server';
import * as cheerio from 'cheerio';

export async function GET(request: NextRequest) {
  const searchParams = request.nextUrl.searchParams;
  const language = searchParams.get('language') || '';
  const since = searchParams.get('since') || 'daily';

  try {
    let url = 'https://github.com/trending';
    if (language) url += `/${encodeURIComponent(language)}`;
    url += `?since=${since}`;

    const response = await fetch(url, {
      headers: { 'User-Agent': 'Mozilla/5.0 (compatible)' },
      next: { revalidate: 3600 }, // Cache for 1 hour
    });

    const html = await response.text();
    const repos = parseGitHubTrending(html);
    
    return Response.json(repos);
  } catch (error) {
    console.error('Trending scrape failed:', error);
    return Response.json(
      { error: 'Failed to fetch trending repos' },
      { status: 500 }
    );
  }
}

function parseGitHubTrending(html: string) {
  const $ = cheerio.load(html);
  const repos: any[] = [];

  $('article.Box-row').each((_, el) => {
    const $el = $(el);
    const repoLink = $el.find('h2 a').attr('href') || '';
    const [, owner, name] = repoLink.split('/');
    
    repos.push({
      owner,
      name,
      fullName: `${owner}/${name}`,
      url: `https://github.com${repoLink}`,
      description: $el.find('p.col-9').text().trim(),
      language: $el.find('[itemprop="programmingLanguage"]').text().trim(),
      stars: parseNumber($el.find('a[href$="/stargazers"]').text()),
      forks: parseNumber($el.find('a[href$="/forks"]').text()),
      starsToday: parseNumber($el.find('.float-sm-right').text()),
    });
  });

  return repos;
}

function parseNumber(text: string): number {
  const clean = text.replace(/,/g, '').trim();
  if (clean.includes('k')) return Math.round(parseFloat(clean) * 1000);
  return parseInt(clean) || 0;
}

React Hook

tsx
import { useState, useEffect } from 'react';

function useTrending(options: { language?: string; since?: string } = {}) {
  const [repos, setRepos] = useState([]);
  const [isLoading, setIsLoading] = useState(true);
  const [error, setError] = useState<string | null>(null);

  useEffect(() => {
    async function fetchTrending() {
      setIsLoading(true);
      try {
        const params = new URLSearchParams();
        if (options.language) params.set('language', options.language);
        if (options.since) params.set('since', options.since);

        const response = await fetch(`/api/trending?${params}`);
        if (!response.ok) throw new Error('Failed to fetch');
        setRepos(await response.json());
      } catch (err) {
        setError(err instanceof Error ? err.message : 'Unknown error');
      } finally {
        setIsLoading(false);
      }
    }

    fetchTrending();
  }, [options.language, options.since]);

  return { repos, isLoading, error };
}

Important Considerations

  1. No Official API: GitHub's trending page has no official API - scraping is the only option
  2. Rate Limiting: Respect GitHub's servers - cache aggressively
  3. HTML Structure Changes: GitHub may change their HTML - monitor for breakages
  4. User-Agent: Always include a User-Agent header
  5. Server-Side Only: Do scraping server-side to avoid CORS issues

Resources

Frequently asked questions

What does the Github Trending AI skill do?

Fetch and display GitHub trending repositories and developers. Use when building dashboards showing trending repos, discovering popular projects, or tracking GitHub trends. Triggers on GitHub trending, trending repos, popular repositories, GitHub discover.

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/hoodini/ai-agents-skills/tree/master/skills/github-trending. TypingMind reads its SKILL.md 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?

It is published on GitHub by hoodini. Check the repository for licensing terms. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇