Daily Social Media Pulse

Monitors trending topics, engagement metrics, competitor activity, and audience growth across Twitter/X, LinkedIn, Instagram, TikTok, and Bluesky. Delivers a consolidated social media intelligence briefing without requiring you to open each platform. Designed for creators, marketers, and founders who need to stay aware of social trends without the time sink of scrolling.

Supported Platforms & Integrations

Platform	Setup Method	Auth Type	Notes
Twitter/X	X API v2	OAuth 2.0 / Bearer token	Timeline, trends, mentions, analytics
LinkedIn	LinkedIn API	OAuth 2.0	Post performance, company page analytics
Instagram	Instagram Graph API via Meta	OAuth 2.0	Business/creator accounts only
TikTok	TikTok for Developers API	OAuth 2.0	Business accounts, trending sounds

When to Use This Skill

• Use this when you manage social media presence across 2+ platforms
• Use this when you want to catch trending topics relevant to your niche early
• Use this when you track competitor social activity for strategic intelligence
• Consider alternatives when you need to post or schedule content (this is analytics-only)

Quick Start

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# Minimal configuration - social-media-pulse.yml
skill: daily-social-media-pulse
platforms:
  twitter:
    enabled: true
    handle: "@yourhandle"
    track_mentions: true
    track_hashtags: ["#AI", "#devtools", "#startup"]
  linkedin:
    enabled: true
    profile_url: "linkedin.com/in/yourprofile"
    company_page: "your-company"
  instagram:
    enabled: true
    handle: "yourhandle"

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claude /daily-social-media-pulse

Expected Output

SOCIAL MEDIA PULSE - March 15, 2026

TWITTER/X (@yourhandle):
  Followers: 12,847 (+23 today, +156 this week)
  Top tweet (last 24h): "Thread on AI agent architectures..."
    Impressions: 45.2K | Likes: 312 | Retweets: 87 | Replies: 34
    Engagement rate: 0.96% (above your 0.72% avg)
  Mentions: 8 new (3 questions, 2 praise, 3 tags)
  Trending in your niche: #AIAgents (rising), #DevTools (stable)

LINKEDIN (Your Profile):
  Profile views: 342 this week (+18%)
  Top post: "5 lessons from our Series A..."
    Views: 8,901 | Reactions: 234 | Comments: 45 | Shares: 12
...

Advanced Configuration

Platform-Specific Setup

Twitter/X Advanced

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platforms:
  twitter:
    enabled: true
    handle: "@yourhandle"
    api_version: "v2"
    bearer_token_env: "TWITTER_BEARER_TOKEN"
    track_mentions: true
    track_hashtags: ["#AI", "#devtools"]

Full Options Reference

Parameter	Type	Default	Description
platforms	object	required	Platform configurations (see above)
competitors	array	[]	Competitor accounts to monitor
schedule	string	"08:00"	Daily pulse delivery time
track_hashtags	array	[]	Hashtags to monitor across platforms
sentiment_analysis	boolean	false	Analyze mention and reply sentiment
engagement_benchmarks	boolean	true	Compare metrics to your historical average

Core Concepts

Concept	Purpose	How It Works
Cross-Platform Aggregation	Unified view of social presence	Normalizes metrics across platforms into comparable engagement rates
Trend Velocity	Catches trends early	Measures rate of change in hashtag volume, not just absolute numbers
Competitive Intelligence	Strategic awareness	Monitors competitor posting frequency, engagement, and sentiment shifts
Optimal Timing	Maximizes reach	Analyzes your historical post performance by hour and day to predict best times

Architecture

Twitter API ──────> Twitter Fetcher ──┐
  LinkedIn API ─────> LinkedIn Fetcher ─┤
  Instagram API ────> Insta Fetcher ────┼──> Normalizer ──> Analytics Engine ──> Trend Detector

Workflow Examples

Scenario 1: Catching a trending topic early

Input: Hashtag #AIAgents volume up 340% in last 6 hours on Twitter Processing: Detects velocity spike, checks if topic aligns with your tracked interests, analyzes current conversation sentiment, and identifies content gap (what has not been said yet). Output: Alert with trending topic, current conversation summary, suggested angle for your post, and recommended posting time within the next 2 hours.

Scenario 2: Competitor crisis monitoring

Input: Competitor's latest tweet receiving 60% negative sentiment (vs their usual 15%) Processing: Detects anomaly in competitor sentiment, analyzes the negative replies to understand the issue (pricing change, outage, controversy), and assesses if this creates opportunity. Output: Competitor alert with sentiment breakdown, root cause summary, and strategic recommendation (e.g., "Competitor facing backlash on pricing. Consider highlighting your transparent pricing this week.").

Best Practices

1. Focus on engagement rate, not follower count -- A 5% engagement rate on 1,000 followers drives more business impact than 0.1% on 100,000. The pulse prioritizes engagement.

2. Act on trending topics within 4 hours -- Trend velocity data is most valuable when acted on quickly. After 4-6 hours, most trends are saturated with content and your.

3. Track 2-3 direct competitors maximum -- Monitoring too many competitors creates noise and analysis paralysis. Choose your closest competitors whose audience overlaps.

Common Issues

1. Twitter API rate limits -- The free Twitter API tier has strict limits (100 requests/15 min). If you see rate limit errors, reduce track_hashtags to 3 or.

2. Instagram metrics unavailable -- Instagram Graph API requires a Business or Creator account connected to a Facebook Page. Personal accounts cannot access.

Privacy & Data Handling

Social media data is fetched through official platform APIs and processed locally. No data is stored beyond the configured lookback window (default 30 days for trend analysis). Competitor monitoring uses only publicly available data. API tokens are stored in your system keychain or environment variables, never in plain-text config files.