| name | engagement-tracker |
| description | Track engagement metrics on all posted content (Reddit comments, Twitter replies, original posts). Runs 24h after posting to measure performance. Produces weekly analysis with actionable insights. Triggers on "check engagement", "track metrics", "how did my posts do", "engagement report", "performance analysis". |
| inputs | [{"name":"date_range","type":"string","required":true,"description":"Time window to pull metrics for (e.g. \"yesterday\", \"last 7 days\", \"2026-02-19\")"}] |
| outputs | [{"name":"metrics","type":"list","description":"List of per-post engagement data, each with {platform, url, upvotes, views, replies}"},{"name":"weekly_summary","type":"text","description":"Human-readable weekly analysis with top performers and actionable insights (only present for multi-day ranges)"}] |
Engagement Tracker Skill
Closed-loop analytics for all social media activity. Scrapes engagement metrics 24h after posting, stores structured data, and produces weekly insights.
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.
Configuration
Set your Twitter handle:
export TWITTER_HANDLE="yourhandle"
Point to your Twikit directory:
export TWIKIT_DIR="~/crawlee-social-scraper"
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).
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!
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",
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)
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 |
