jakeschincariol/linkedin-agent-skill

li-dm

- Write connection notes and DM follow-ups that get replies - the 200-character invite, the first message, and the two follow-ups.

소스 보기

사용 방법

  1. 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
  2. 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
  3. 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/jakeschincariol/linkedin-agent-skill --skill li-dm

시작 전 확인

  • 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
  • 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서

원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.

li-dm

The invite note is 200 characters. The first DM decides whether there is a second one. Neither is a pitch.

Before writing, get the specifics

Ask for, in one batched question:

  1. Who - name, role, company.
  2. The hook - the actual reason to reach out now. A post they wrote, a

thing their company shipped, a mutual connection, a talk they gave. Not "they fit my ICP".

  1. What the user wants - a conversation, a referral, a job, a sale. Be

honest internally, even if the message does not lead with it.

If there is no specific reason to message this person today, say so. A message with no reason is what everyone else sends, and it is why their reply rate is 2%.

The invite note (200 characters)

{one specific reference to them} + {one line of who you are} + {no ask}

The note asks for nothing. It exists to make the accept obvious. Under 200 characters including spaces - count them and show the count.

Saw your post on killing the discovery call - we did the same thing in March
and it worked. I run ops at a 12-person studio. Would like to follow along.
                                                                    [187/200]

The first message, after they accept

Wait a day. Then:

  • Two to four sentences. A screen of text is a delete.
  • Reference the specific thing from the note - continuity is the whole

reason the note was specific.

  • Give something before asking. A number, a template, a name, an answer.
  • One ask, and make it small. "Worth a 15-minute call?" beats "let me walk

you through our platform".

  • No calendar link in message one. It reads as a funnel, because it is.

Follow-ups

Two. That is the number.

  • +4 days - add something new. Never "just bumping this" or "following up

on my last message". If you have nothing new, you have no follow-up.

  • +10 days - the close-the-loop message. Say you will stop, and mean it.

This one gets a surprising share of the total replies, because it removes the pressure.

Then stop. A third follow-up converts nobody and costs the relationship.

Never

  • Never send an automated connection or message sequence. Automated outreach

tools violate LinkedIn's User Agreement and get accounts restricted.

  • Never fabricate a mutual connection, a shared school, or having read

something the user has not read.

  • Never write the message that opens "I hope this message finds you well".
  • Never send more than 20 invites a day. Beyond that, LinkedIn throttles the

account, and a throttled account is a dead one.

Output

The invite note with its character count, the first message, and both follow-ups with the day they go out. All humanized through /li-human. The user sends every one of them by hand.

관련 작업

같은 저장소의 Skills

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jakeschincariol
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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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li-comment

- 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.

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li-human

- 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.

설치 수
1
GitHub Stars
2.4천
업데이트
9월 17일
jakeschincariol
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li-inbox

- 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.

설치 수
1
GitHub Stars
2.4천
업데이트
9월 17일