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Social Media Trends Research

Listed
drshailesh88·vlatest·marketing

This skill analyzes social media to identify emerging trends and popular topics, helping you stay ahead in video content creation.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add drshailesh88/integrated_content_os --skill social-media-trends-research -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

drshailesh88

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: www.reddit.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    www.reddit.comundeclared

    What it found

    • skills/cardiology/social-media-trends-research/scripts/reddit_scraper.py:18contacts www.reddit.com
      self.base_url = 'https://www.reddit.com'
    • skills/cardiology/social-media-trends-research/scripts/trend_research.py:114contacts www.reddit.com
      url = f"https://www.reddit.com/search.json?q={kw}&limit={limit}&sort=relevance&t=week"
    • skills/cardiology/social-media-trends-research/scripts/trend_research.py:146contacts www.reddit.com
      url = f"https://www.reddit.com/r/{sub}/hot.json?limit={limit}"

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned drshailesh88/integrated_content_os at 9e61937ad2.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
9e61937ad2
Manifest
skills/cardiology/social-media-trends-research/SKILL.md
Scanned
3 files, 980 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill helps AI agents research social media trends to identify emerging topics and popular keywords for video content creation. It leverages three free tools: pytrends (for Google Trends data), yars (for Reddit scraping), and Perplexity MCP (for Twitter/TikTok/Web trends accessed through Claude). The skill provides executable code, enabling agents to gather real-time trending searches, analyze keyword interest over time, and discover related queries indicating rising topics.

When to use it

  • Content planning: Identify potential video topics that are currently gaining traction on social media.
  • Keyword research: Discover relevant keywords for your videos based on current trends.
  • Staying informed: Keep up-to-date with emerging conversations and interests online.
  • Viral content discovery: Find topics experiencing explosive growth, potentially leading to viral video opportunities.
  • Niche topic analysis: Research specific areas of interest (e.g., "heart health") to understand current trends within that niche.

Key capabilities

  • Google Trends data: Retrieves real-time trending searches, interest over time, related queries, and regional interest for keywords.
  • Reddit scraping: Extracts topics from Reddit using public endpoints.
  • Twitter/TikTok/Web trend analysis: Leverages Perplexity MCP to access trends from these platforms via Claude.
  • Rising query identification: Pinpoints "rising" related queries within Google Trends, indicating emerging topics.
  • Breakout topic detection: Identifies topics with significant growth (1000%+) in a short timeframe.

Example prompts

  • “Find trending searches in India right now.”
  • “What are the rising related queries for 'sustainable living'?”
  • "Identify breakout topics related to 'artificial intelligence'."

Tips & gotchas

  • Rate Limiting: The skill uses free tools and is subject to rate limits. A minimum wait time of 3-5 seconds between requests is recommended for casual use, and 60 seconds for bulk research.
  • Dependencies: Requires pip install pytrends requests to be run initially.
  • Niche Keyword Limits: When researching niche keywords with pytrends, limit your requests to a maximum of 5 keywords per request.