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Social Listening Skill for Claude

Monitor social media and online mentions for brand sentiment, emerging issues, and conversation trends

3k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
145
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill social-listening

The instruction itself

27 sections, as written by the author

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
  • crisis-detector - Early warning escalation
  • response-coordinator - Crisis response
  • reputation-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

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How to use it

Copy the folder

Take guia-matthieu/social-listening from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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