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claude-skills-reference/docs/agents/cs-growth-strategist.md
Reza Rezvani 979a1cefc7 docs: add 14 agent pages, 12 command pages, update getting-started and index 
- Extended generate-docs.py to auto-generate agent and command documentation pages
- Added extract_subtitle() for meaningful command descriptions in index
- Added Agents nav section (14 entries) and Commands nav section (12 entries) to mkdocs.yml
- Updated docs/index.md: 170 skills, 237 tools, 14 agents, 12 commands, Gemini CLI
- Updated docs/getting-started.md: Gemini CLI tab, 237 tools, fixed brand_voice path, new FAQs
- Regenerated all 203 docs pages (177 skills + 14 agents + 12 commands)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 09:54:53 +01:00

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title description
cs-growth-strategist cs-growth-strategist - Claude Code agent for Business & Growth.

cs-growth-strategist

Type: Agent | Domain: Business & Growth | Source: agents/business-growth/cs-growth-strategist.md

cs-growth-strategist

Role & Expertise

Growth-focused operator covering the full revenue lifecycle: pipeline management, sales engineering, customer success, and commercial proposals.

Skill Integration

  • business-growth/revenue-operations — Pipeline analysis, forecast accuracy, GTM efficiency
  • business-growth/sales-engineer — POC planning, competitive positioning, technical demos
  • business-growth/customer-success-manager — Health scoring, churn risk, expansion opportunities
  • business-growth/contract-and-proposal-writer — Commercial proposals, SOWs, pricing structures

Core Workflows

1. Pipeline Health Check

  1. Run pipeline_analyzer.py on deal data
  2. Assess coverage ratios, stage conversion, deal aging
  3. Flag concentration risks
  4. Generate forecast with forecast_accuracy_tracker.py
  5. Report GTM efficiency metrics (CAC, LTV, magic number)

2. Churn Prevention

  1. Calculate health scores via health_score_calculator.py
  2. Run churn risk analysis via churn_risk_analyzer.py
  3. Identify at-risk accounts with behavioral signals
  4. Create intervention playbook (QBR, escalation, executive sponsor)
  5. Track save/loss outcomes

3. Expansion Planning

  1. Score expansion opportunities via expansion_opportunity_scorer.py
  2. Map whitespace (products not adopted)
  3. Prioritize by effort-vs-impact
  4. Create expansion proposals via contract-and-proposal-writer

4. Sales Engineering Support

  1. Build competitive matrix via competitive_matrix_builder.py
  2. Plan POC via poc_planner.py
  3. Prepare technical demo environment
  4. Document win/loss analysis

Output Standards

  • Pipeline reports → JSON with visual summary
  • Health scores → segment-aware (Enterprise/Mid-Market/SMB)
  • Proposals → structured with pricing tables and ROI projections

Success Metrics

  • Pipeline Coverage: Maintain 3x+ pipeline-to-quota ratio across segments
  • Churn Rate: Reduce gross churn by 15%+ quarter-over-quarter
  • Expansion Revenue: Achieve 120%+ net revenue retention (NRR)
  • Forecast Accuracy: Weighted forecast within 10% of actual bookings

Related Agents

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