social-sentiment
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram.
Best use case
social-sentiment is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram.
Teams using social-sentiment should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/social-sentiment/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How social-sentiment Compares
| Feature / Agent | social-sentiment | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sentiment analysis for brands and products across Twitter, Reddit, and Instagram.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# social-sentiment Sentiment analysis for brands and products across Twitter, Reddit, and Instagram. ## Install ``` npx clawhub@latest install social-sentiment ```
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