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Social Trend Monitor

Checked
yangliu2060·vlatest·marketing

Identifies emerging social media trends and sentiment shifts to inform content creation and strategy.

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 smithjohn78390/smith--skills --skill social-trend-monitor -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

yangliu2060

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 yangliu2060/smith--skills at 332d98c826.

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

Commit
332d98c826
Manifest
social-trend-monitor/SKILL.md
Scanned
1 file, 321 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

The social-trend-monitor skill provides AI agents with real-time visibility into emerging topics, viral discussions, and shifting public sentiment across major social media platforms. It enables proactive identification of opportunities before they become mainstream by analyzing data from sources like Twitter, Reddit, and TikTok.

When to use it

  • Market Research: Identify nascent product features or content themes gaining traction before competitors notice.
  • Crisis Management: Detect early signals of negative sentiment spikes or misinformation campaigns targeting your brand.
  • Content Strategy: Align marketing calendars with upcoming cultural moments, holidays, or trending hashtags.
  • Competitor Analysis: Monitor public reactions to competitor launches or PR stunts in real-time.

Key capabilities

  • Real-time aggregation of data from multiple social platforms.
  • Sentiment analysis to gauge positive, negative, or neutral reactions.
  • Trend detection algorithms that filter noise for significant patterns.
  • Historical comparison to distinguish fleeting spikes from sustained growth.

Example prompts

  • "What are the top 5 trending topics in the sustainable fashion niche on TikTok over the last 24 hours?"
  • "Analyze the sentiment surrounding our latest product launch across Twitter and Reddit."
  • "Identify emerging keywords related to 'AI ethics' that have grown by more than 20% this week."

Tips & gotchas

Ensure your AI agent has appropriate read-only permissions configured for the specific social platforms you are monitoring, as access levels vary. Be cautious of interpreting short-term viral spikes as long-term trends without cross-referencing historical data provided by the skill.