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Social Media Analyzer

Checked
nicepkg·vlatest·marketing·MIT

Analyzes social media content to identify trends, sentiment, and engagement metrics, boosting marketing insights & 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 nicepkg/ai-workflow --skill social-media-analyzer --full-depth -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

nicepkg

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 nicepkg/ai-workflow at d167b41af7.

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

Commit
d167b41af7
Manifest
workflows/marketing-pro-workflow/.claude/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 nicepkg-social-media-analyzer skill analyzes social media data to provide insights. It can identify trends, sentiment, and key topics being discussed within a specified dataset. This allows users to understand public perception and track brand reputation across various platforms.

When to use it

  • Brand Monitoring: Track mentions of your company or product on social media to gauge public opinion.
  • Campaign Analysis: Evaluate the performance of marketing campaigns by analyzing engagement and sentiment related to specific hashtags or keywords.
  • Competitive Research: Understand what competitors are doing well (or poorly) based on their social media presence and audience interaction.
  • Trend Identification: Discover emerging topics and conversations relevant to your industry or target audience.

Key capabilities

  • Sentiment analysis of social media posts
  • Topic identification from text data
  • Trend detection within a dataset
  • Analysis across various social media platforms (specific platforms not listed)

Example prompts

  • "Analyze sentiment around the keyword 'AI' on Twitter over the last week."
  • "Identify trending topics related to electric vehicles in Facebook posts this month."
  • "What are people saying about our new product launch on Instagram?"

Tips & gotchas

The quality of analysis depends heavily on the data provided. Ensure you supply a relevant and sufficiently large dataset for accurate results.