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Social Media Analyzer

Checked
alirezarezvani·vlatest·marketing·MIT

This skill analyzes social media content to identify trends, sentiment, and engagement metrics, boosting your understanding of online conversations.

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 alirezarezvani/claude-code-skill-factory --skill social-media-analyzer -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

alirezarezvani

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 alirezarezvani/claude-code-skill-factory at ba18b31703.

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

Commit
ba18b31703
Manifest
generated-skills/social-media-analyzer/SKILL.md
Scanned
6 files, 545 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

The alirezarezvani-social-media-analyzer skill analyzes social media data to provide insights. It can extract sentiment from text, identify trending topics within a specified timeframe, and summarize key themes emerging from social media conversations. This allows users to understand public opinion and track brand perception.

When to use it

  • Brand Monitoring: Track mentions of your company or product on social media platforms to gauge customer sentiment.
  • Campaign Analysis: Evaluate the performance of a marketing campaign by analyzing related hashtags and keywords.
  • Trend Identification: Discover emerging trends within a specific industry or topic area.
  • Competitive Research: Analyze competitor's social media presence and identify areas for improvement.

Key capabilities

  • Sentiment analysis from text data
  • Trending topic identification
  • Summarization of social media themes
  • Timeframe specification for analysis

Example prompts

  • "Analyze sentiment around the new 'SparkleClean' detergent on Twitter over the last week."
  • "What are the trending topics related to electric vehicles in the past month?"
  • "Summarize the key themes discussed in Facebook posts about the latest iPhone release."

Tips & gotchas

The accuracy of the analysis depends heavily on the quality and volume of social media data available. Ensure you provide clear instructions regarding specific platforms or keywords for optimal results.