successcoaching/claude-for-customer-success

AI-native Customer Success가 심층적인 도메인 지식에 내장되었을 때와 같은 것을 보여주는 참조 구현 — 배포 보행 제품, 하지만 가능한 작업 데모 및 최소한의 비유적 아키텍처가 필요합니다.

모던 CS 조직의 모든 기능을 다루는 6 Claude Code/Claude Cowork 플러그인: CSM, CS Ops, 갱신 전문가, 내장 팀, RevOps (고객의 성공) 및 연결 인프라. Methodology-opinionated (SuccessCOACHING 고객 성공 방법론 및 프레임 워크), 도구 -agnostic.

여기에 새로운? QUICKSTART.md - 60 초에 설치하십시오. 이 README는 전체 참조입니다.

여기에 모두는 하나의 소스에서 두 가지 방법이 있습니다. Claude Cowork 또는 Claude Code 플러그인으로 설치하거나 Claude Managed Agents API를 통해 배포하십시오. 동일한 시스템 프롬프트, 동일한 기술 - 당신은 어디 실행을 선택.

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이 문서는

이 README는 3명의 청중들을 봉사합니다. 가장 관련있는 섹션으로 이동합니다.

A reference implementation showing what AI-native Customer Success looks like when built on deep domain knowledge — not a deployment-ready product, but a working demonstration of what’s possible and what a minimum viable architecture requires.

Six Claude Code/Claude Cowork plugins covering every function in a modern CS organization: CSMs, CS Ops, renewals specialists, onboarding teams, RevOps (for Customer Success), and the infrastructure that connects them. Methodology-opinionated (SuccessCOACHING Customer Success methodologies and frameworks), tool-agnostic.

New here? Start with QUICKSTART.md — install in 60 seconds. This README is the full reference.

Everything here is available two ways from one source: install it as a Claude Cowork or Claude Code plugin, or deploy it through the Claude Managed Agents API behind your own workflow engine. Same system prompt, same skills — you choose where it runs.

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Who This Document Is For

This README serves three audiences. Jump to the section most relevant to you.

CS leaders and practitioners using this as a reference for what AI-enabled CS looks like in practice: read Plugins, Methodology, and Managed Agents. The plugin and agent breakdown shows what capability coverage across the full lifecycle actually requires — scope, skill count, and architectural decisions most point solutions never reach.

Operators and developers building on or adapting the suite: read Architecture Extensions, Skill Design, File Locations, and Documentation. The machine-readable capability model and cross-skill registry are your primary reference artifacts.