Imported from Othmane-Khadri/YALC-the-GTM-operating-system (.claude/skills/answer-linkedin-comments/SKILL.md). Install upstream with npx skills add Othmane-Khadri/YALC-the-GTM-operating-system --skill answer-linkedin-comments. Copyright stays with the author.

Answer LinkedIn Comments

I'll wrap linkedin:answer-comments. Take a post URL, fetch comments via Unipile, draft replies in the user's voice, ask for approval, and send on yes.

When This Skill Applies

• "answer comments on my post"
• "reply to LinkedIn comments"
• "respond to engagement on this post"
• "draft replies to commenters"
• "answer the LinkedIn thread"

NOT this skill (use scrape-post-engagers instead):

• "scrape the engagers off this post" — that produces a result set; this skill produces replies.

NOT this skill (use personalize-message instead):

• "draft a DM to this commenter" — DM is one-to-one; this skill is for the public thread.

Workflow

Step 0 — Ask for the LinkedIn post URL

"What's the LinkedIn post URL with comments to answer?"

Step 1 — Validate URL

Step 2 — Shell out to draft

cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \
  npx tsx src/cli/index.ts linkedin:answer-comments --url <url> --draft-only

(Verify exact flag via --help. The skill always drafts first, then asks before sending.)

Step 3 — Render the drafts

Show each comment + its drafted reply.

Step 4 — Ask for approval per comment OR bulk

"Send all? (yes / approve some / cancel)"

Step 5 — Shell out to send (if approved)

npx tsx src/cli/index.ts linkedin:answer-comments --url <url> --approved <ids>

Step 6 — Render send result

Notes

• Replies use the brand voice from ~/.gtm-os/brand-voice.yaml if present; otherwise defaults to a neutral conversational tone.
• The CLI never auto-sends without --approved. Drafts always render to chat first.
• Skips comments from the post author themselves (no self-replies).