---
name: LinkedIn Thread Monitor
slug: linkedin-thread-monitor
category: Automation
description: LinkedIn Thread Monitor tracks which of your LinkedIn comments got author replies and classifies threads as hot, warm, cool, or dormant. Use it to decide when to follow up, and to route warm threads to reply drafting.
github: "https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-thread-monitor"
language: Python
stars: 589
forks: 91
install: "npx degit https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-thread-monitor ~/.claude/skills/linkedin-thread-monitor"
installs_to: ~/.claude/skills/linkedin-thread-monitor
source_path: skills/linkedin-thread-monitor/SKILL.md
collection_size: 12
category_size: 1523
collection_url: "https://dirskills.com/collections/sergebulaev/linkedin-skills"
added: 2026-08-25T05:13:41.021Z
last_synced: 2026-08-25T05:13:41.021Z
canonical_url: "https://dirskills.com/skills/linkedin-thread-monitor"
---

# LinkedIn Thread Monitor

LinkedIn Thread Monitor tracks which of your LinkedIn comments got author replies and classifies threads as hot, warm, cool, or dormant. Use it to decide when to follow up, and to route warm threads to reply drafting.

**Install:**

```bash
npx degit https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-thread-monitor ~/.claude/skills/linkedin-thread-monitor
```

## README

# LinkedIn Thread Monitor

Track which of your comments earned author replies. The author-reply signal is the highest-value inbound LinkedIn produces; this skill ensures you respond inside the window where momentum compounds.

Depends on `APIFY_TOKEN`. Without it, falls back to user-paste of recent comment URLs.

## When to use

- Daily: "What threads need follow-up today?"
- After posting a batch of comments: "Check back in 6 hours"
- When an author replied personally: "Draft the response"

## Input

- Your LinkedIn handle (last path segment of profile URL, e.g. `your-handle`)
- Optional: window in hours (default 72)

## Output

Output format (daily report, warm-thread preview, weekly roll-up): see `references/output-spec.md`. Headline: a table of recent comments with author-reply status + recommended action.

## Steps

1. **Fetch user's recent comments.** If `APIFY_TOKEN` is set, call `lib.ApifyClient.fetch_user_recent_comments(username=<your-handle>, result_limit=30)`. Each item already includes the parent post body, post URL, post author, and reaction stats. If `APIFY_TOKEN` is not set, ask the user to list (or paste) the URLs of comments they've posted in the last 72h.
2. **For each comment posted in last 72h:** check the parent post's comment tree (use `fetch_post_comments(post_id=..., scrape_replies=True)`) for:
   - Replies to the user's comment
   - Whether the author posted any of those replies
   - Timestamps (time since user's comment, time since latest reply)
3. **Classify stage:**
   - Hot (<6h): author just replied. Respond within 90 min for max thread momentum
   - Warm (6-24h): the warm-reply window. Author replies most happen here
   - Cool (24-72h): still respondable but lower velocity
   - Dormant (>72h): don't reply in thread. Consider DM
4. **Draft responses** for warm threads using `linkedin-reply-handler`.
5. **Flag suspicious patterns:**
   - Author replied but also deleted someone else's comment (author is actively moderating, tread carefully)
   - Commenter is in thread self-promoting (your reply shouldn't engage them)
6. **DM routing:** if thread is dormant but the author engaged meaningfully, draft a DM that references the thread specifically.

## Warm-reply window

Anchored to a 2026-04 data point: a CEO replied to Serge's comment 22h after the original post. Reply-rate distribution: 0-6h 70%, 6-24h 25% (higher quality), >24h rare. Follow-up timing: 0-6h reply respond within 90 min; 6-24h within 2h; >24h within 4h before it goes cold. See `references/thread-timing.md` for the full matrix.

## Inbound-quality signals

High-quality = follow up: founder/operator title, company in ICP, active posting history, >10 mutual 2nd-degree connections, prior thoughtful comments on user's posts.

Low-quality = skip: generic praise, template language ("I'd love to hop on a quick call"), sales/agency profile with no operator history, same comment copy-pasted across many creators.

## Hard rules

Global voice rules: see root `SKILL.md` §Voice rules. Additional skill-specific rules:

- Never reply to a reply later than 72h after the thread's last turn. Switch to DM.
- Never chain 3+ replies under one comment (thread spam).
- If the author deleted their reply, do not reply. They reconsidered.
- Don't DM a warm thread before first replying publicly (skips a step).

## Cost accounting

| Action | Apify call | Cost (free tier) |
|---|---|---|
| Daily thread sweep (1 user, ~30 comments) | `fetch_user_recent_comments` once | $0.005 |
| Per-warm-thread context | `fetch_post_comments(scrape_replies=True)` | $0.005 each |

A typical creator running this skill 5 days/week stays well under the $5 free monthly credit.

## Files

- `SKILL.md` — this file
- `references/output-spec.md` — daily report shape, warm-thread preview, weekly roll-up, sample run
- `references/thread-timing.md` — the timing matrix with examples

## Related skills

- `linkedin-reply-handler` — drafts the actual follow-up message for warm threads
- `linkedin-engager-analytics` — analyze who liked/commented on a post (different surface)
- `linkedin-comment-drafter` — drafts the initial comment that starts threads