Triage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending. Use when the user says "my inbox is a mess", "triage my DMs", "should I reply to this", pastes a batch of LinkedIn messages, or is drowning in connection requests.
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安装前可以查看交给 AI 代理的指令内容。
Most LinkedIn inboxes are 80% noise, and the cost of that noise is that the 20% goes unanswered for a week. This skill separates them, then writes only what is worth writing.
The user pastes the messages. Screenshots are fine. Do not log into their account or read their inbox with a browser tool.
| bucket | signal | action |
|---|---|---|
| LEAD | describes a problem the user solves, or asks about working together | reply today, full answer |
| RECRUITER | a role, a company, a salary band | reply if the role is real, one line if not |
| PEER | someone in the same field with something to say | reply this week, keep it human |
| ASK | wants advice, time, an intro, a favour | reply if it is cheap and specific, decline cleanly if not |
| SPAM | agency pitch, lead-gen sequence, crypto, "quick question" with no question | archive, no reply |
Print the counts first. Seeing "3 leads, 2 recruiters, 41 spam" is most of the value.
Automated outreach has a shape: an invite note with no specifics, a message that arrives within minutes of the accept, "quick question", "I noticed you're in {industry}", a calendar link in message one, then a bump exactly four days later. When you see it, mark it SPAM and say which tell gave it away. The user does not owe a reply to a script.
Grouped by bucket, counts first, drafts only for the buckets that get replies, each one humanized. Then the gate: the user sends them.
INBOX · 52 items · 3 LEAD, 2 RECRUITER, 4 PEER, 2 ASK, 41 SPAM
SPAM (41) - archive. 38 are the same sequence: no-specifics invite,
"quick question" within 4 minutes of accept, calendar link in message one.
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Post-mortem on what the user has already published - which posts actually worked, why, and what to stop doing. Use when the user pastes their LinkedIn analytics or past posts and asks "what's working", "why did this flop", "read my analytics", "audit my content", or wants to know what to double down on.
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Build a LinkedIn document post (carousel) - slide-by-slide copy, the cover that earns the swipe, and the PDF to upload. Use when the user says "carousel", "document post", "slides for LinkedIn", "turn this into a carousel", or has a list-shaped idea that would die as a text post.
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Write comments on other people's LinkedIn posts that read as a person with an opinion, not a bot. Use when the user pastes a post and wants a comment, says "comment on this", "engage with this", "what do I say here", or wants a batch of comments for their engagement round.
中文简介正在准备中。当前显示原文说明。
Write connection notes and DM follow-ups that get replies - the 200-character invite, the first message, and the two follow-ups. Use when the user says "write a connection request", "DM this person", "outreach message", "how do I follow up", or is reaching out to someone specific on LinkedIn.
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Strip the machine fingerprint out of any draft - em dashes, AI slop words, invisible watermark characters - and score it against a five-check detection panel before it goes out. Use whenever text needs to sound human, when the user says humanize, "does this sound like AI", "remove the em dashes", "de-slop this", "will this get flagged", or before any LinkedIn post, comment, reply or DM is shown to the user.
中文简介正在准备中。当前显示原文说明。
Build the week on LinkedIn - what to post, when to post it, and who to engage with. Use when the user says "plan my week", "what should I post", "content calendar", "I have nothing to post about", or wants a posting schedule and an engagement list.
中文简介正在准备中。当前显示原文说明。