social-analytics
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Esta habilidad analiza perfiles de redes sociales para calcular tasas de engagement, identificar contenido de mejor rendimiento y rastrear el crecimiento. Se utiliza para análisis de competidores, evaluación comparativa de métricas y generación de informes de rendimiento. Los desarrolladores pueden integrarla a través del servidor MCP para auditar la presencia en redes sociales y evaluar la salud de las cuentas.
Instalación rápida
Claude Code
Recomendadonpx 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-analyticsCopia y pega este comando en Claude Code para instalar esta habilidad
Documentación
Social Analytics
Analyze social media profiles and calculate engagement metrics - understand what content works for competitors and your own accounts.
When to Use This Skill
- Competitor analysis - Audit competitor social presence
- Engagement benchmarking - Calculate and compare engagement rates
- Content analysis - Identify top-performing post types
- Profile audit - Assess social media health
- Reporting - Generate social performance reports
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Structures analysis frameworks | Metric definitions |
| Identifies patterns in data | Business interpretation |
| Creates visualization templates | Dashboard design |
| Suggests optimization areas | Action priorities |
| Calculates statistical measures | Decision thresholds |
Dependencies
pip install click pandas requests beautifulsoup4
# For authenticated API access:
pip install tweepy instaloader
Commands
Analyze Profile
python scripts/main.py analyze @competitor --platform twitter
python scripts/main.py analyze @brand --platform instagram
Calculate Engagement
python scripts/main.py engagement @profile --platform twitter --days 30
python scripts/main.py engagement @profile --platform linkedin --posts 50
Find Top Posts
python scripts/main.py top-posts @profile --platform twitter --count 10
python scripts/main.py top-posts @profile --metric likes
Export Data
python scripts/main.py export @profile --platform twitter --format csv
python scripts/main.py export @profile --platform instagram --output report.json
Compare Profiles
python scripts/main.py compare @brand1 @brand2 @brand3 --platform twitter
Examples
Example 1: Competitor Social Audit
# Analyze competitor profile
python scripts/main.py analyze @competitor_brand --platform twitter
# Output:
# Profile Analysis: @competitor_brand
# ─────────────────────────────────────
# Followers: 45,230
# Following: 1,234
# Total Posts: 2,456
# Avg Likes: 234
# Avg Retweets: 45
# Engagement: 2.3%
# Post Frequency: 3.2/day
# Top Hashtags: #marketing, #growth, #startup
Example 2: Benchmark Engagement Rates
# Compare engagement across competitors
python scripts/main.py compare @brand1 @brand2 @brand3 --platform twitter
# Output:
# Engagement Comparison
# ─────────────────────
# Profile Followers Eng.Rate Posts/Day
# @brand1 45,230 2.3% 3.2
# @brand2 32,100 3.1% 2.1
# @brand3 89,500 1.8% 4.5
# Winner: @brand2 (highest engagement despite fewer followers)
Example 3: Find Winning Content
# Identify top performing posts
python scripts/main.py top-posts @marketing_pro --platform twitter --count 10
# Output:
# Top 10 Posts by Engagement
# ──────────────────────────
# 1. "Here's what nobody tells you about..."
# Likes: 2,345 RTs: 456 Eng: 6.2%
# Type: Thread Time: Tuesday 9am
# 2. "The biggest mistake I see founders make..."
# Likes: 1,890 RTs: 312 Eng: 4.8%
# Type: Single Time: Wednesday 8am
Engagement Rate Benchmarks
Twitter/X
| Account Size | Good | Great | Excellent |
|---|---|---|---|
| <10K | 1-3% | 3-6% | >6% |
| 10K-100K | 0.5-1% | 1-3% | >3% |
| 100K+ | 0.2-0.5% | 0.5-1% | >1% |
| Account Size | Good | Great | Excellent |
|---|---|---|---|
| <10K | 3-6% | 6-10% | >10% |
| 10K-100K | 1-3% | 3-6% | >6% |
| 100K+ | 0.5-1% | 1-3% | >3% |
| Account Size | Good | Great | Excellent |
|---|---|---|---|
| Personal | 2-4% | 4-8% | >8% |
| Company | 0.5-1% | 1-2% | >2% |
Metrics Explained
| Metric | Formula | What It Measures |
|---|---|---|
| Engagement Rate | (likes + comments + shares) / followers | Overall content resonance |
| Amplification | shares / followers | Content virality |
| Conversation | comments / followers | Community engagement |
| Applause | likes / followers | Content appreciation |
Output Formats
| Format | Best For |
|---|---|
text | Quick terminal review |
csv | Spreadsheet analysis |
json | Programmatic use |
md | Reports and docs |
Skill Boundaries
What This Skill Does Well
- Structuring data analysis
- Identifying patterns and trends
- Creating visualization frameworks
- Calculating statistical measures
What This Skill Cannot Do
- Access your actual data
- Replace statistical expertise
- Make business decisions
- Guarantee prediction accuracy
Related Skills
- content-repurposer - Repurpose top-performing content
- hashtag-analyzer - Deep dive into hashtag performance
Skill Metadata
- Mode: centaur
category: social
subcategory: analytics
dependencies: [pandas, requests, beautifulsoup4]
difficulty: intermediate
time_saved: 4+ hours/week
Repositorio GitHub
Frequently asked questions
What is the social-analytics skill?
social-analytics is a Claude Skill by guia-matthieu. Skills package instructions and resources that Claude loads on demand, so Claude can perform social-analytics-related tasks without extra prompting.
How do I install social-analytics?
Use the install commands on this page: add social-analytics to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does social-analytics belong to?
social-analytics is in the Other category, tagged data.
Is social-analytics free to use?
Yes. social-analytics is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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