social-listening
About
This skill enables automated monitoring of social media and online mentions to track brand sentiment, identify emerging issues, and analyze conversation trends. It's designed for brand health monitoring, crisis early warning, and competitor tracking, utilizing keyword monitoring and sentiment analysis. Developers can leverage it to gather customer insights and inform response strategies based on systematic analytics.
Quick Install
Claude Code
Recommendednpx skills add guia-matthieu/clawfu-skills -a claude-code/plugin add https://github.com/guia-matthieu/clawfu-skillsgit clone https://github.com/guia-matthieu/clawfu-skills.git ~/.claude/skills/social-listeningCopy and paste this command in Claude Code to install this skill
Documentation
Social Listening
Systematically monitor social media and online conversations to track brand sentiment, identify emerging issues, and spot opportunities.
When to Use This Skill
- Brand health monitoring
- Crisis early warning
- Competitor tracking
- Campaign performance
- Customer insight gathering
Methodology Foundation
Based on Sprout Social methodology and Brandwatch analytics, combining:
- Keyword monitoring
- Sentiment analysis
- Trend identification
- Influencer tracking
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Designs monitoring strategy | Tool selection |
| Creates keyword lists | Alert thresholds |
| Analyzes sentiment patterns | Response strategy |
| Identifies trends | Resource allocation |
| Suggests response approaches | Escalation calls |
Instructions
Step 1: Define Monitoring Scope
Monitoring Categories:
| Category | What to Track | Examples |
|---|---|---|
| Brand | Company name, products | "@CompanyName", "CompanyProduct" |
| People | Executives, spokespeople | CEO name, founder |
| Industry | Sector terms, trends | Industry keywords |
| Competitors | Competitor mentions | Competitor names |
| Issues | Potential crises | Product issues, service complaints |
Step 2: Build Keyword Matrix
Keyword Types:
| Type | Purpose | Examples |
|---|---|---|
| Primary | Direct brand mentions | Brand name, product names |
| Secondary | Related conversations | Industry terms, use cases |
| Negative | Crisis indicators | "problem", "issue", "broken" |
| Competitor | Competitive intelligence | Competitor names, comparison |
Step 3: Set Up Alerts
Alert Levels:
| Level | Trigger | Response Time |
|---|---|---|
| Green | Normal volume, positive/neutral | Daily review |
| Yellow | Elevated volume, mixed sentiment | Same-day review |
| Orange | High volume spike, negative trend | Hours |
| Red | Viral negative, crisis indicators | Immediate |
Step 4: Analyze Findings
Analysis Framework:
- Volume trends (up/down/stable)
- Sentiment distribution (positive/neutral/negative)
- Key themes and topics
- Influential voices
- Geographic patterns
Step 5: Report and Act
Reporting Cadence:
| Report | Frequency | Audience |
|---|---|---|
| Real-time alerts | As triggered | Crisis team |
| Daily digest | Daily | Marketing |
| Weekly summary | Weekly | Leadership |
| Monthly deep dive | Monthly | Strategy |
Examples
Example 1: Social Listening Strategy
Input:
Create a social listening strategy for:
- B2B SaaS company (project management)
- Main competitors: Asana, Monday, Notion
- Recent product launch: AI features
Output:
## Social Listening Strategy: Project Management SaaS
### Monitoring Objectives
| Objective | Priority | Key Questions |
|-----------|----------|---------------|
| Brand health | High | How are we perceived? |
| Product feedback | High | What do users say about AI features? |
| Competitive intel | Medium | What are competitors doing? |
| Industry trends | Medium | Where is PM software heading? |
| Crisis detection | High | Any emerging issues? |
---
### Keyword Matrix
#### Brand Keywords
| Category | Keywords | Platforms |
|----------|----------|-----------|
| Company Name | "[Company]", "@company" | All |
| Product Name | "[Product]", "[Product] app" | All |
| Misspellings | Common variants | All |
| Hashtags | #[Company], #[Product] | Twitter, LinkedIn |
#### Product Keywords
| Category | Keywords | Why Monitor |
|----------|----------|-------------|
| AI Features | "[Company] AI", "AI project management" | Launch feedback |
| Core Features | "[Company] tasks", "[Company] boards" | Product sentiment |
| Integrations | "[Company] Slack", "[Company] integration" | Partnership health |
#### Competitive Keywords
| Competitor | Keywords | What to Track |
|------------|----------|---------------|
| Asana | "Asana vs [Company]", "switching from Asana" | Win/loss signals |
| Monday | "Monday.com", "Monday vs [Company]" | Competitive positioning |
| Notion | "Notion for projects", "Notion PM" | Category overlap |
| General | "best project management", "PM tool 2026" | Category conversations |
#### Crisis Keywords
| Category | Keywords | Alert Level |
|----------|----------|-------------|
| Outage | "[Company] down", "[Company] not working" | Red |
| Security | "[Company] hack", "[Company] breach" | Red |
| Pricing | "[Company] expensive", "[Company] price increase" | Orange |
| Churn | "leaving [Company]", "cancelled [Company]" | Yellow |
| Bugs | "[Company] bug", "[Company] broken" | Yellow |
---
### Platform Strategy
| Platform | Focus | Keywords | Frequency |
|----------|-------|----------|-----------|
| Twitter/X | Real-time sentiment | All brand, crisis | Continuous |
| LinkedIn | B2B discussions | Industry, competitor | Daily |
| Reddit | Deep user feedback | r/projectmanagement, product | Daily |
| G2/Capterra | Review sentiment | Product reviews | Weekly |
| Hacker News | Tech community | Product, competitor | As trending |
---
### Alert Configuration
#### Red Alerts (Immediate Response)
**Triggers:**
- Volume spike >300% normal
- Sentiment shift >50% negative
- Viral post (>1000 engagements)
- Keywords: "outage", "down", "breach", "hack"
**Response:**
- Slack #crisis-alerts channel
- SMS to on-call team
- Auto-pause scheduled posts
---
#### Orange Alerts (Same-Day Response)
**Triggers:**
- Volume spike >100% normal
- Negative sentiment >30%
- Trending competitor comparison
- Keywords: "expensive", "worse", "frustrated"
**Response:**
- Slack #social-alerts
- Email to marketing lead
- Review within 4 hours
---
#### Yellow Alerts (Next-Day Review)
**Triggers:**
- Volume spike >50% normal
- Notable influencer mention
- Competitor activity spike
- Keywords: "considering", "alternative", "switching"
**Response:**
- Daily digest inclusion
- Assign for monitoring
- Review within 24 hours
---
### Analysis Template
#### Daily Report
Social Listening Daily Digest
Date: [Date]
Volume Summary
| Metric | Today | vs. Yesterday | vs. 7-Day Avg |
|---|---|---|---|
| Total Mentions | X | +/-Y% | +/-Z% |
| Brand Mentions | X | +/-Y% | +/-Z% |
| Sentiment Score | X | +/-Y | +/-Z |
Sentiment Breakdown
- Positive: X%
- Neutral: Y%
- Negative: Z%
Top Conversations
- [Summary + Link]
- [Summary + Link]
- [Summary + Link]
Competitor Activity
- Asana: [Notable activity]
- Monday: [Notable activity]
- Notion: [Notable activity]
Action Items
- [Action if needed]
Alert Status: GREEN/YELLOW/ORANGE/RED
---
### AI Feature Launch Monitoring
**Specific Keywords:**
- "[Company] AI"
- "AI project management"
- "[Company] automation"
- "AI features PM tool"
**What to Track:**
| Metric | Target | Alert If |
|--------|--------|----------|
| Mention volume | 2x normal | <50% or >300% |
| Sentiment | >60% positive | <40% positive |
| Feature requests | Document all | - |
| Bug reports | <5/day | >10/day |
**Competitor Response Monitoring:**
- Are competitors announcing similar features?
- How is our positioning being compared?
- What gaps are users identifying?
Example 2: Quick Sentiment Analysis
Input:
Analyze this week's social mentions:
- Total mentions: 450 (up 30%)
- Positive: 40%
- Neutral: 35%
- Negative: 25%
- Top negative theme: "pricing"
- One viral tweet (15K RT): "Just discovered [Company] raised prices 40%"
Output:
## Quick Sentiment Analysis
### Alert Level: ORANGE
---
### Summary
| Metric | Value | Status |
|--------|-------|--------|
| Volume | 450 (+30%) | Elevated |
| Sentiment | 40% positive | Below target |
| Negative | 25% | Above normal |
| Viral Content | Yes | Action needed |
---
### Key Finding
**Pricing is dominating the conversation**
The viral tweet about 40% price increase is:
- Driving 30% volume spike
- Shifting sentiment negative
- Spreading misinformation (if price increase was different)
---
### Immediate Actions
| Action | Owner | Timeline |
|--------|-------|----------|
| Verify price increase details | Product/Biz | Immediate |
| Draft response to viral tweet | Comms | 2 hours |
| Prepare pricing FAQ | Support | Today |
| Monitor for escalation | Social | Ongoing |
---
### Response Options
**If price increase was less than 40%:**
Hi [Name], thanks for the feedback. Just to clarify—our recent update increased [specific] pricing by [X%], not 40%. Here's what changed and why: [link]
Happy to discuss if you have questions.
**If price increase was accurate:**
Hi [Name], we hear you. We know pricing changes are never easy to absorb. Here's why we made this decision and what you're getting in return: [link]
Our team is available if you'd like to discuss your account.
---
### Escalation Watch
Monitor for:
- Influencer pile-on
- Media pickup
- Support ticket spike
- Churn mentions
Skill Boundaries
What This Skill Does Well
- Designing monitoring strategies
- Creating keyword frameworks
- Analyzing sentiment patterns
- Structuring alert systems
What This Skill Cannot Do
- Access social platforms
- Monitor in real-time
- Automatically respond
- Know your specific tools
Iteration Guide
Follow-up Prompts:
- "Create response templates for [scenario]"
- "How should we handle [specific mention]?"
- "Design a competitor monitoring dashboard"
- "What should we track for [campaign]?"
References
- Sprout Social Listening Guide
- Brandwatch Analytics Methodology
- Hootsuite Social Listening
- Meltwater Media Intelligence
Related Skills
crisis-detector- Early warning escalationresponse-coordinator- Crisis responsereputation-recovery- Post-crisis rebuild
Skill Metadata
- Domain: Crisis / Marketing
- Complexity: Intermediate
- Mode: cyborg
- Time to Value: 1-2 hours for strategy
- Prerequisites: Platform access, brand context
GitHub Repository
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