Social Media Analyzer
CheckedAnalyzes social media content to identify trends, sentiment, and engagement metrics – boosting marketing insights & strategy.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add questnova502/claude-skills-sync --skill social-media-analyzer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
questnova502
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.
Automated safety checks
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 questnova502/claude-skills-sync at 49910faa5e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 49910faa5e
- Scanned
- 7 files, 993 lines
About this skill
What it does
The social-media-analyzer skill analyzes public social media data to identify trends and sentiment. It can summarize conversations around specific topics, brands, or keywords, providing insights into public perception. This includes identifying frequently used hashtags and key influencers discussing the subject matter.
When to use it
- Brand Monitoring: Track mentions of your brand on social media platforms to understand customer sentiment and identify potential PR issues.
- Market Research: Analyze conversations around a product or service to gauge interest, identify unmet needs, and inform marketing strategies.
- Competitive Analysis: Monitor competitors' performance and messaging on social media to gain insights into their strengths and weaknesses.
- Trend Identification: Discover emerging trends and topics gaining traction within specific communities or industries.
Key capabilities
- Sentiment analysis of social media posts
- Identification of trending hashtags
- Summarization of conversations around specified keywords
- Detection of key influencers related to a topic
Example prompts
- "Analyze Twitter for sentiment towards 'electric vehicles' over the last week."
- "What are the top 5 hashtags being used in discussions about [brand name] on Instagram?"
- “Summarize recent conversations on Reddit regarding the new [product name].”
Tips & gotchas
The skill analyzes publicly available social media data only. Results may be skewed by bot activity or biased user demographics, so interpret findings with caution.