social-listening
Monitor brand mentions, competitor activity, and industry conversations across social media and the web
Best use case
social-listening is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Monitor brand mentions, competitor activity, and industry conversations across social media and the web
Teams using social-listening 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/orthogonal-social-listening/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How social-listening Compares
| Feature / Agent | social-listening | 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?
Monitor brand mentions, competitor activity, and industry conversations across social media and the web
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 Listening
Track brand mentions, competitor activity, and industry conversations across social media and the web.
## When to Use
- User wants to monitor what people say about a brand or product
- User asks "what are people saying about [company]?"
- Tracking competitor launches or announcements
- Monitoring industry trends and sentiment
- Social media due diligence before partnerships
## Workflow
### Step 1: Search Web Mentions with Exa
Find recent mentions, reviews, and discussions across the web:
```bash
orth run exa /search -d '{
"query": "Notion reviews opinions user feedback",
"numResults": 30,
"contents": {"text": true}
}'
```
### Step 2: Monitor Social Media with Scrape Creators
Check what's being posted on X/Twitter:
```bash
orth run scrapecreators /v1/twitter/user-tweets -q 'handle=NotionHQ'
```
Check LinkedIn company activity:
```bash
orth run scrapecreators /v1/linkedin/company -q 'url=https://linkedin.com/company/notion'
```
> **Note:** Scrape Creators does not have a dedicated "company posts" endpoint. Use `/v1/linkedin/company` to get company page data, or `/v1/linkedin/post` with a specific post URL.
### Step 3: Deep Scrape Key Pages with Scrapegraph
Extract structured data from specific pages found in Steps 1-2:
```bash
orth run scrapegraph /v1/smartscraper -d '{
"website_url": "https://example.com/review-page",
"user_prompt": "Extract sentiment, key complaints, and praise about the product"
}'
```
## Examples
**User:** "What are people saying about Slack?"
```bash
# Step 1: Web mentions
orth run exa /search -d '{"query": "Slack reviews complaints praise 2025 2026", "numResults": 20, "contents": {"text": true}}'
# Step 2: Their social presence
orth run scrapecreators /v1/twitter/user-tweets -q 'handle=SlackHQ'
```
**User:** "Monitor competitor launches in the AI space"
```bash
orth run exa /search -d '{"query": "AI startup launch announcement new product 2026", "numResults": 30, "contents": {"text": true}}'
```
## Tips
- Use Exa for broad web monitoring (blogs, forums, news)
- Use Scrape Creators for social media (X/Twitter, LinkedIn, Instagram, TikTok)
- Use Scrapegraph for extracting structured data from specific URLs
- Include date ranges in Exa queries for recent results
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