Engagement Tracker Skill

Closed-loop analytics for all social media activity. Scrapes engagement metrics 24h after posting, stores structured data, and produces weekly insights.

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Core Principle

You can't optimize what you don't measure. Every post gets tracked. Every week gets analyzed. Decisions come from data, not vibes.

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Configuration

Set your Twitter handle:

export TWITTER_HANDLE="yourhandle"

Point to your Twikit directory:

export TWIKIT_DIR="~/crawlee-social-scraper"  # wherever you have twikit + cookies

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Daily Engagement Check (runs at 07:00 your TZ)

Step 1: Find Yesterday's Posts

Read memory/YYYY-MM-DD.md for yesterday's date. Extract all posted URLs from the log tables.

Reddit comment URLs look like:

https://www.reddit.com/r/{subreddit}/comments/{post_id}/comment/{comment_id}/

Twitter reply URLs look like:

https://x.com/{username}/status/{tweet_id}

Step 2: Scrape Reddit Comment Metrics

For each Reddit comment URL, fetch engagement data via AppleScript Chrome:

osascript -l JavaScript -e '
var chrome = Application("Google Chrome");
var tab = chrome.windows[0].activeTab;
tab.execute({javascript: "(" + function() {
    var commentId = "COMMENT_ID";
    fetch("/api/info.json?id=t1_" + commentId, {credentials: "include"})
        .then(r => r.json())
        .then(d => {
            var c = d.data.children[0].data;
            document.title = "METRICS:" + JSON.stringify({
                id: c.name,
                score: c.score,
                ups: c.ups,
                num_replies: c.num_comments || 0,
                permalink: c.permalink,
                subreddit: c.subreddit,
                body: c.body.substring(0, 100)
            });
        });
} + ")();"});
'
sleep 2
osascript -e 'tell application "Google Chrome" to return title of active tab of first window'

Multi-profile Chrome fallback: Use System Events + Console pattern (see reddit-cultivate skill).

Rate limiting: Wait 2+ seconds between each comment check.

Step 3: Scrape Twitter Reply Metrics

cd $TWIKIT_DIR
source venv/bin/activate
python3 -c "
import asyncio, json
from twikit import Client

async def check():
    client = Client('en-US')
    client.load_cookies('twitter_cookies.json')
    user = await client.get_user_by_screen_name('$TWITTER_HANDLE')
    tweets = await client.get_user_tweets(user.id, tweet_type='Replies', count=20)
    results = []
    for t in tweets:
        results.append({
            'id': t.id,
            'text': t.text[:100],
            'created_at': str(t.created_at),
            'likes': t.favorite_count,
            'retweets': t.retweet_count,
            'replies': t.reply_count,
            'views': t.view_count,
            'in_reply_to': t.in_reply_to_tweet_id,
            'url': f'https://x.com/$TWITTER_HANDLE/status/{t.id}'
        })
    print(json.dumps(results, indent=2))

asyncio.run(check())
"

Step 4: Store Metrics

Append to memory/analytics/engagement-log.json:

{
  "entries": [
    {
      "id": "reddit-2026-01-01-001",
      "date": "2026-01-01",
      "platform": "reddit",
      "type": "comment",
      "subreddit": "SideProject",
      "post_title": "Post title here",
      "url": "https://www.reddit.com/r/SideProject/comments/abc/comment/xyz/",
      "checked_at": "2026-01-02T07:00:00+08:00",
      "hours_since_post": 22,
      "metrics": {
        "upvotes": 12,
        "replies": 3
      }
    }
  ]
}

Step 5: Daily Summary

Report only if there's notable engagement:

Engagement Check (24h metrics)

Reddit (3 comments yesterday):
  r/ClaudeAI "your post topic" — 12 upvotes, 3 replies
  r/SideProject "your post topic" — 8 upvotes, 1 reply

Twitter (2 replies yesterday):
  @somebody — 5 likes, 1500 views
  @someone — 2 likes, 800 views

Top performer: Reddit r/ClaudeAI comment (12 upvotes)
Needs attention: 3 replies on ClaudeAI comment — consider responding!

If no notable engagement (all zeros): Reply HEARTBEAT_OK, no notification.

If replies detected: Flag them for response (author replies = +75 algo weight on Reddit).

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Weekly Analysis (runs Sunday)

Reads ALL entries from memory/analytics/engagement-log.json for the current week.

Metrics Computed

Per-Subreddit (Reddit):

Subreddit	Posts	Avg Upvotes	Avg Replies	Hit Rate
r/indiehackers	5	12.0	2.3	100%
r/SideProject	7	5.1	0.8	43%

Hit Rate = % of posts with upvotes > 5 (adjustable threshold).

Per-Target Account (Twitter):

Account	Replies	Avg Likes	Avg Views
@founder	3	4.2	2100
@techperson	2	2.5	1800

Actionable Recommendations

Weekly Insights:

1. SHIFT WEIGHT: r/indiehackers has 2.4x better engagement than r/SideProject.
   → Recommend: 2 comments/day in indiehackers, 1 in SideProject

2. SWEET SPOT: Higher quality score comments get 1.75x more upvotes.
   → Recommend: Raise quality bar

3. TIMING: Morning posts outperform evening by 40%.
   → Consider: Add midday posting batch

4. REPLIES UNANSWERED: 7 Reddit replies went unanswered this week.
   → Action: Respond within 24h for algo boost (+75 weight).

Weekly Summary Format

Weekly Engagement Report

REDDIT
  Posts: 21 | Avg upvotes: 7.3 | Best: 23 (r/indiehackers)
  Karma delta: +53
  Hit rate: 62% (>5 upvotes)

TWITTER
  Replies: 18 | Avg likes: 2.8 | Best: 12
  Followers delta: +7
  Avg views: 1,340

TOP 3 POSTS THIS WEEK:
  1. r/indiehackers "auth rebuild" — 23 upvotes, 5 replies
  2. @founder "reply" — 12 likes, 3,200 views
  3. r/ClaudeAI "setup" — 15 upvotes, 4 replies

RECOMMENDATIONS:
  → Shift Reddit weight to r/indiehackers (+2.4x ROI)
  → 7 unanswered replies — respond today!

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Data Schema

engagement-log.json (append-only)

{
  "entries": [
    {
      "id": "string (platform-date-seq)",
      "date": "YYYY-MM-DD",
      "platform": "reddit | twitter | linkedin | xhs",
      "type": "comment | reply | original_post",
      "subreddit": "string (reddit only)",
      "target_account": "string (twitter only)",
      "post_title": "string",
      "url": "string",
      "checked_at": "ISO8601",
      "hours_since_post": "number",
      "metrics": {
        "upvotes": "number",
        "likes": "number",
        "retweets": "number",
        "replies": "number",
        "views": "number"
      }
    }
  ]
}

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Integration with Other Skills

Feeds Into:

• Weekly Review — reads weekly summary for its report
• Content Multiply — uses performance data to find winners worth repurposing

Reads From:

• memory/YYYY-MM-DD.md — daily logs with posted URLs
• Reddit API (via AppleScript Chrome)
• Twitter API (via Twikit)

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Troubleshooting

Problem	Solution
Reddit API returns 403	Rate limited — wait 5 min, retry
Twikit cookie expired	Re-export cookies from Chrome
Comment deleted/removed	Log as metrics: null, note "deleted"
Chrome multi-profile issue	Use Method 2 (System Events + Console) from reddit-cultivate