cs-growth-strategist
Growth Strategist agent for revenue operations, sales engineering, customer success, and business development. Orchestrates business-growth skills. Spawn when users need pipeline analysis, churn prevention, expansion scoring, sales demos, or proposal writing.
Best use case
cs-growth-strategist is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Growth Strategist agent for revenue operations, sales engineering, customer success, and business development. Orchestrates business-growth skills. Spawn when users need pipeline analysis, churn prevention, expansion scoring, sales demos, or proposal writing.
Teams using cs-growth-strategist should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/cs-growth-strategist/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How cs-growth-strategist Compares
| Feature / Agent | cs-growth-strategist | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Growth Strategist agent for revenue operations, sales engineering, customer success, and business development. Orchestrates business-growth skills. Spawn when users need pipeline analysis, churn prevention, expansion scoring, sales demos, or proposal writing.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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 - [cs-product-manager](../product/cs-product-manager.md) -- Product roadmap alignment for sales positioning and feature prioritization - [cs-financial-analyst](../finance/cs-financial-analyst.md) -- Revenue forecasting validation and financial modeling support
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4 business growth agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Customer success (health scoring, churn), sales engineer (RFP), revenue operations (pipeline, GTM), contract & proposal writer. Python tools (stdlib-only).
wiki-query
Query the LLM Wiki — reads index.md first, drills into 3-10 relevant pages, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back as a new comparison or synthesis page. Usage /wiki-query "<question>"
wiki-log
Show recent entries from the LLM Wiki log (wiki/log.md). Uses the standardized
wiki-lint
Run a health check on the LLM Wiki vault — mechanical checks (orphans, broken links, stale pages, missing frontmatter, log gap, duplicates) plus semantic checks (contradictions, cross-reference gaps, concepts missing their own page). Outputs a markdown report with suggested actions. Usage /wiki-lint [--stale-days N] [--log-gap-days N]
wiki-init
Bootstrap a fresh LLM Wiki vault with the three-layer structure, schema files, and starter templates. Usage /wiki-init <path> --topic "<topic>" [--tool all|claude-code|codex|cursor|antigravity]
wiki-ingest
Ingest a source file from raw/ into the LLM Wiki — read, discuss, write summary page, update cross-references across 5-15 pages, regenerate index, append to log. Usage /wiki-ingest <path-to-source>