li-audit
Post-mortem on what the user has already published - which posts actually worked, why, and…
Handle the replies under the user's own LinkedIn posts - draft answers to every comment, sorted by which ones are worth answering. Use when the user pastes the comments on their post, says "reply to these", "handle my comments", "someone said X on my post", or is dealing with a
$ npx -y skills add Jakeschincariol/linkedin-agent-skill --skill li-reply --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/li-replyContext preview
The summary Claude sees to decide when to auto-load this skill.
Handle the replies under the user's own LinkedIn posts - draft answers to every comment, sorted by which ones are worth answering. Use when the user pastes the comments on their post, says "reply to these", "handle my comments", "someone said X on my post", or is dealing with a
name: li-reply description: >- Handle the replies under the user's own LinkedIn posts - draft answers to every comment, sorted by which ones are worth answering. Use when the user pastes the comments on their post, says "reply to these", "handle my comments", "someone said X on my post", or is dealing with a critic or a lead in the comments.
The reply thread under your own post is where reach is actually decided. Every reply is a second engagement event on the post, and the first hour of replies does most of the work. But the value is not equal across comments, so this skill sorts before it writes.
The user pastes the comments, ideally with names and roles. Screenshots are fine. Do not scrape the thread with a browser tool.
Sort every comment into one of five buckets and say the count out loud:
| bucket | what it is | what it gets | | --- | --- | --- | | **LEAD** | someone describing the problem you solve | a real answer + a soft open door | | **SUBSTANCE** | adds data, disagrees, extends | the longest reply on the thread | | **PEER** | a name worth being seen next to | a reply that gives them something | | **SUPPORT** | "great post", 🔥, a tag | a like, and a 3-8 word reply at most | | **NOISE** | pitch, spam, bad faith | nothing, or one line and out |
Then write in that order, and stop writing when the value stops.
reply. Do not send them to a DM to hear the answer they could have had.
line on the part you believe. Never delete, never get defensive, never reply twice on the same thread.
end, and it is an offer of help, not a pitch. Public value is what makes the next person DM you.
One block, grouped by bucket, each reply copy-ready and already humanized:
REPLIES · 17 comments · 1 LEAD, 3 SUBSTANCE, 4 PEER, 8 SUPPORT, 1 NOISE LEAD @Sarah Chen - "we have the same problem with proposals" > The part that fixed it for us was pulling the pricing table out of the doc > entirely and sending it as its own page. Cut a whole review round. Happy to > send you the template if it is useful. SUBSTANCE @Marcus Webb - disagrees on cadence > Fair, and 4x a week only worked because I had 8 months of posts behind it. > From a standing start I would do what you said. SUPPORT (like these, reply to the first three) @... "This is great" -> Thanks Dan. ... NOISE (1) Skipped: an agency pitch. Replying gives it reach.
Then the gate: **nothing is posted until the user says yes.** They paste the replies themselves.
Eleven Claude skills that run a LinkedIn account. Free, MIT, no signup, no API key, nothing to connect. One of them writes your posts off 21 hook formulas. One comments on other people's posts. One handles the replies under yours.
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