answer-linkedin-comments
Reply to comments on a LinkedIn post via Unipile — drafts thread-aware replies grounded in the user's voice and the conversation context, then sends on approval. Use when the user says 'answer comments on my post', 'reply to LinkedIn comments', 'respond to engagement on this post', 'draft replies to commenters', or 'answer the LinkedIn thread'. Side-effecting — calls Unipile to read + post replies.
适合你，如果你需要高效管理LinkedIn帖子下的评论互动
npx oh-my-skill add othmane-khadri/yalc-the-gtm-operating-system/answer-linkedin-commentscurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- othmane-khadri/yalc-the-gtm-operating-system/answer-linkedin-commentsnpx oh-my-skill verify othmane-khadri/yalc-the-gtm-operating-system/answer-linkedin-comments怎么用
商店整理自技能原文 · 版本 ffc6e37 · 表述以原文为准当你提供LinkedIn帖子链接后，Claude会获取评论，根据你的语气和对话上下文草拟回复，并征得同意后发送。
当你说出“回答这个帖子的评论”、“回复LinkedIn评论”、“回应这个帖子的互动”等指令时触发。
技能原文 SKILL.md
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.yamlif 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).