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GitHub 저장소

linkedin_skills

linkedin_skills에는 xx254에서 수집한 skills 6개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
6
Stars
16
업데이트
2026-04-02
Forks
6
직업 범위
직업 카테고리 6개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

calibrate-voice
음악가·가수

Build a voice profile from real messages the user has written. Produces a style guide Claude follows every time it drafts outreach. Use when setting up the system for the first time, when reply rates drop, or when the user says their messages sound off. Trigger on: "calibrate my voice", "my messages sound like a bot", "build my style guide", or any time the user pastes a set of messages they've personally written. Run once per quarter or whenever your communication style shifts.

2026-04-02
linkedin-lead-filter
방문 판매원·신문·노점상 및 관련 종사자

Filter a CSV of LinkedIn leads against ICP criteria and persist canonical lead state. Outputs qualified/disqualified files, a contract registry JSON, and weekly metrics. Use when you have a lead list and want repeatable qualification before outreach.

2026-04-02
reply-handler
서비스 영업 대표(광고, 보험, 금융 서비스 및 여행 제외)

Draft a reply to a LinkedIn prospect's message. Uses shared state, classification, and scripts for artifacts and metrics. Trigger on: "draft a reply", "they responded", or when the user pastes a prospect message.

2026-04-02
draft-outreach
서비스 영업 대표(광고, 보험, 금융 서비스 및 여행 제외)

Draft first-touch LinkedIn outreach for qualified leads using canonical lead artifacts. Uses persistent settings, brand voice, and outreach state to avoid duplicate sends. Trigger on: "draft message for [name]", "create outreach from filtered leads", or when a user selects leads from the lead-filter output.

2026-04-02
onboard
인사 전문가

First-run onboarding. Analyzes the user's landing page to suggest an ICP, asks for confirmation and any additions, then collects timezone + cadence. Saves everything to state/linkedin-settings.json and marks firstRunCompleted: true. Run this once before using any other skill.

2026-04-02
campaign-retro
프로젝트 관리 전문가시장조사 분석가·마케팅 전문가

Post-campaign analysis for LinkedIn outreach. Turns results into a precise diff of changes to three levers: voice, signals, and reply logic. Not a post-mortem, a fix list. Use when a campaign has finished and the user wants to know what to change. Trigger on: "review my campaign results", "my campaign just finished", "reply rate was low", "what do I fix after this campaign?", or any time the user shares metrics, message examples, or reply data and wants actionable next steps. Always use over generic analysis when outreach improvement is the goal.

2026-04-01