LinkedIn Thread Monitor
Track which of your LinkedIn comments earned author replies and flag the warm follow-up window. Optional Apify integration.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/linkedin-thread-monitor-sergebulaev/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
Track which of your LinkedIn comments earned author replies. Flags the 6-24h warm-reply window where thread momentum peaks, classifies threads as hot/warm/cool/dormant, and routes warm ones to linkedin-reply-handler for follow-up drafts. Powered by Apify, no LinkedIn login. Triggers on "what threads need follow-up", "author replied", "monitor my comments". Not for analyzing likers on a post (use linkedin-engager-analytics).
What this skill does
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
- Fetch user's recent comments. If
APIFY_TOKENis set, calllib.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. IfAPIFY_TOKENis not set, ask the user to list (or paste) the URLs of comments they've posted in the last 72h. - 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)
- 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
- Draft responses for warm threads using
linkedin-reply-handler. - 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)
- 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 filereferences/output-spec.md— daily report shape, warm-thread preview, weekly roll-up, sample runreferences/thread-timing.md— the timing matrix with examples
Related skills
linkedin-reply-handler— drafts the actual follow-up message for warm threadslinkedin-engager-analytics— analyze who liked/commented on a post (different surface)linkedin-comment-drafter— drafts the initial comment that starts threads
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