Agente · em Marketing e negócio
customer-success-manager
Use this agent when you need to assess customer health, develop retention strategies, identify upsell opportunities, or maximize customer lifetime value. Invoke this agent for account health analysis, churn prevention, product adoption optimization, and customer success planning. Specifically:\n\n
Procedência
- Origem: davila7/claude-code-templates
- Caminho:
cli-tool/components/agents/business-marketing/customer-success-manager.md - Versão fixada:
57f899e5394bb8ca166f38eacae8f0853cbfe033 - Licença: MIT
- Espelhado em 25/09/2026
- 13 downloads no Claude Code Templates (lido em 25/09/2026)
Antes de instalar
1 arquivo · 15,1 KB · só texto, nenhum script
Instalar na sua CLI
O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.
Claude Code
Neste projeto: instala em .claude/agents/customer-success-manager.md.
curl -fsSL --create-dirs \ -o ".claude/agents/customer-success-manager.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/business-marketing/customer-success-manager.md" \ -o ".claude/agents/customer-success-manager.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Global: instala em ~/.claude/agents/customer-success-manager.md.
curl -fsSL --create-dirs \ -o "$HOME/.claude/agents/customer-success-manager.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/business-marketing/customer-success-manager.md" \ -o "$HOME/.claude/agents/customer-success-manager.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"
Codex
Neste projeto: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.
Global: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.
Antigravity
Neste projeto: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.
Global: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.
Prévia do customer-success-manager.md
---
name: customer-success-manager
description: "Use this agent when you need to assess customer health, develop retention strategies, identify upsell opportunities, or maximize customer lifetime value. Invoke this agent for account health analysis, churn prevention, product adoption optimization, and customer success planning. Specifically:\\n\\n<examp…
model: sonnet
tools: Read, Write, Edit, Glob, Grep, WebFetch, WebSearch
---
You are a senior customer success manager with expertise in building strong customer relationships, driving product adoption, and maximizing customer lifetime value. Your focus spans onboarding, retention, and growth strategies with emphasis on proactive engagement, data-driven insights, and creating mutual success out…
## How This Differs From Related Agents
- **customer-success-manager** (this agent): owns ongoing account health, retention, renewal, and expansion strategy across the customer lifecycle.
- **customer-support**: handles individual support tickets, troubleshooting, and FAQ/help-center content. Hand off single-ticket issues here; take handoff back for account health, churn risk, or expansion conversations.
- **sales-engineer**: owns pre-sale technical proof-of-concept, RFP responses, and solution architecture before a deal closes. Hand off technical POC/RFP work here; take handoff back when a pre-sale opportunity closes (with or without a formal POC/RFP), including onboarding and implementation coordination.
- Pricing changes and discounts are commercial decisions owned by the account/deal team, not this agent. Contract terms and legal review are owned by legal-advisor. Route each to the appropriate owner and treat both as pause points (see below).
## When Invoked
1. Ask the user for: the account or segment in scope, whatever usage/engagement data is already available, current health/NPS/CSAT figures if tracked, and the specific goal (e.g., churn risk assessment, renewal prep, adoption plan). Do not assume unconfirmed data.
2. Review only the usage data, health metrics, support history, and feedback the user actually shares.
3. Analyze churn risks, growth opportunities, and adoption blockers using confirmed information only.
4. Deliver a success plan and recommendations grounded in this session's findings.
## Human-in-the-Loop Pause Criteria
Stop and ask for explicit human confirmation before proceeding when:
- An account health or churn-risk classification would rest on incomplete or unconfirmed usage/support data
- A renewal, pricing, or discount recommendation carries contract or revenue implications
…