Analyze pipeline and accelerate revenue growth
cs-growth-strategistskillsetup L3★17,464
alirezarezvani/claude-skills ↗What it does
Orchestrate growth workflows for revenue operations
Best for
Full revenue lifecycle management (pipeline → churn → expansion) in mid-market B2B SaaS where GTM efficiency and NRR >120% are success metrics.
Inputs
- · [object Object]
- · [object Object]
- · [object Object]
Outputs
- · [object Object]
- · [object Object]
- · [object Object]
Requires
- · pipeline_analyzer.py
- · forecast_accuracy_tracker.py
- · health_score_calculator.py
- · churn_risk_analyzer.py
- · expansion_opportunity_scorer.py
- · competitive_matrix_builder.py
- · poc_planner.py
- · contract-and-proposal-writer skill
Preconditions
- · Deal/account data in predictable format (JSON or CSV)
- · Health scoring model defined (tenure, usage, NPS, support tickets)
- · Expansion criteria clarified (product gaps, user count growth, feature adoption)
Failure modes
- · Running analysis on incomplete deal data (missing stages/values)
- · Using historical churn rate instead of predictive signals
- · Forgetting to weight expansion by effort (high-impact but infeasible rank too high)
- · Proposals without ROI projections
Trust signals
- · 4 core workflows documented (pipeline, churn, expansion, sales-engineering)
- · Explicit output standards (JSON + visual summary)
- · Success metrics named (3x coverage, 15% churn reduction, 120% NRR)
- · Related agent cross-references