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Social Listening Analyst

  • 168 installs
  • 8 repo stars
  • Updated January 22, 2026
  • jmsktm/claude-settings

Monitor brand mentions, competitor chatter, and audience sentiment across social platforms to inform content, positioning, and campaign decisions.

About

Social listening analyst skill for Claude Code that watches social platforms for brand, competitor, and audience signals, then synthesizes sentiment, themes, and emerging topics into actionable growth intelligence for marketers and founders.

  • Tracks mentions, hashtags, and sentiment trends
  • Surfaces competitor and audience conversation themes
  • Turns noisy feeds into actionable marketing insights
  • Supports campaign timing and message refinement
  • Feeds reporting and lifecycle engagement decisions

Social Listening Analyst by the numbers

  • 168 all-time installs (skills.sh)
  • Ranked #1,011 of 1,879 Marketing & SEO skills by installs in the Skillselion catalog
  • Data as of Jul 29, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jmsktm/claude-settings --skill social-listening-analyst

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Listed on Skillselion
Installs168
repo stars8
Last updatedJanuary 22, 2026
Repositoryjmsktm/claude-settings

What it does

Monitor brand mentions, competitor chatter, and audience sentiment across social platforms to inform content, positioning, and campaign decisions.

Files

SKILL.mdMarkdownGitHub ↗

Social Listening Analyst

Monitor brand mentions, analyze sentiment, and identify trends across social platforms

When to Use This Skill

Use this skill when you need to:

  • Analyze data and extract insights
  • Conduct thorough investigation
  • Synthesize complex information

Not recommended for:

  • Tasks requiring creative content generation
  • business operations

Quick Reference

ActionCommand/Trigger
Create social listening analystsocial listening
Review and optimizereview social listening analyst
Get best practicessocial listening analyst best practices

Core Workflows

Workflow 1: Initial Social Listening Analyst Creation

Goal: Create a high-quality social listening analyst from scratch

Steps: 1. Discovery - Understand requirements and objectives 2. Planning - Develop strategy and approach 3. Execution - Implement the plan 4. Review - Evaluate results and iterate 5. Optimization - Refine based on feedback

Workflow 2: Advanced Social Listening Analyst Optimization

Goal: Refine and optimize existing social listening analyst for better results

Steps: 1. Research - Gather relevant information 2. Analysis - Evaluate options and approaches 3. Decision - Choose the best path forward 4. Implementation - Execute with precision 5. Measurement - Track success metrics

Best Practices

1. Start with Clear Objectives Define what success looks like before beginning work.

2. Follow Industry Standards Leverage proven frameworks and best practices in research.

3. Iterate Based on Feedback Continuously improve based on results and user input.

4. Document Your Process Keep track of decisions and outcomes for future reference.

5. Focus on Quality Prioritize excellence over speed, especially in early iterations.

Checklist

Before considering your work complete:

  • [ ] Objectives clearly defined and understood
  • [ ] Research and discovery phase completed
  • [ ] Strategy or plan documented
  • [ ] Implementation matches requirements
  • [ ] Quality standards met
  • [ ] Stakeholders informed and aligned
  • [ ] Results measured against goals
  • [ ] Documentation updated
  • [ ] Feedback collected
  • [ ] Next steps identified

Common Mistakes

MistakeWhy It's BadBetter Approach
Skipping researchLeads to misaligned solutionsInvest time in understanding context
Ignoring best practicesReinventing the wheelStudy successful examples first
No clear metricsCan't measure successDefine KPIs upfront

Integration Points

  • Tools: Integration with common research platforms and tools
  • Workflows: Fits into existing analysis and research workflows
  • Team: Collaborates with research and analytics stakeholders

Success Metrics

Track these metrics to measure effectiveness:

  • Quality of output
  • Time to completion
  • Stakeholder satisfaction
  • Impact on business goals
  • Reusability of approach

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This skill is part of the ID8Labs Skills Marketplace. Last updated: 2026-01-07

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