AgentSkillsCN

social-analytics

分析社交媒体账号及其互动表现。适用于以下场景:在审计竞争对手的社交媒体布局时;在计算互动率时;在识别表现优异的内容时;在追踪账号增长趋势时;在对标各类社交指标时。

SKILL.md
--- frontmatter
name: social-analytics
description: "Analyze social media profiles and engagement. Use when: auditing competitor social presence; calculating engagement rates; identifying top-performing content; tracking profile growth; benchmarking social metrics"
license: MIT
metadata:
  author: ClawFu
  version: 1.0.0
  mcp-server: "@clawfu/mcp-skills"

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 DoesYou Decide
Structures analysis frameworksMetric definitions
Identifies patterns in dataBusiness interpretation
Creates visualization templatesDashboard design
Suggests optimization areasAction priorities
Calculates statistical measuresDecision thresholds

Dependencies

bash
pip install click pandas requests beautifulsoup4
# For authenticated API access:
pip install tweepy instaloader

Commands

Analyze Profile

bash
python scripts/main.py analyze @competitor --platform twitter
python scripts/main.py analyze @brand --platform instagram

Calculate Engagement

bash
python scripts/main.py engagement @profile --platform twitter --days 30
python scripts/main.py engagement @profile --platform linkedin --posts 50

Find Top Posts

bash
python scripts/main.py top-posts @profile --platform twitter --count 10
python scripts/main.py top-posts @profile --metric likes

Export Data

bash
python scripts/main.py export @profile --platform twitter --format csv
python scripts/main.py export @profile --platform instagram --output report.json

Compare Profiles

bash
python scripts/main.py compare @brand1 @brand2 @brand3 --platform twitter

Examples

Example 1: Competitor Social Audit

bash
# 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

bash
# 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

bash
# 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 SizeGoodGreatExcellent
<10K1-3%3-6%>6%
10K-100K0.5-1%1-3%>3%
100K+0.2-0.5%0.5-1%>1%

Instagram

Account SizeGoodGreatExcellent
<10K3-6%6-10%>10%
10K-100K1-3%3-6%>6%
100K+0.5-1%1-3%>3%

LinkedIn

Account SizeGoodGreatExcellent
Personal2-4%4-8%>8%
Company0.5-1%1-2%>2%

Metrics Explained

MetricFormulaWhat It Measures
Engagement Rate(likes + comments + shares) / followersOverall content resonance
Amplificationshares / followersContent virality
Conversationcomments / followersCommunity engagement
Applauselikes / followersContent appreciation

Output Formats

FormatBest For
textQuick terminal review
csvSpreadsheet analysis
jsonProgrammatic use
mdReports 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

Skill Metadata

  • Mode: centaur
yaml
category: social
subcategory: analytics
dependencies: [pandas, requests, beautifulsoup4]
difficulty: intermediate
time_saved: 4+ hours/week