[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-b694f8da-a4ad-4917-8b2d-6ed9588a9072":3,"$fbUvik_FxDz05e0x6WEWLvF-Rq_aWK4nDdgKOaj0Sb78":43},{"id":4,"title":5,"description":6,"categoryId":7,"moduleId":8,"tags":9,"prompt":10,"icon":11,"source":12,"sourceUrl":13,"authorId":14,"authorName":15,"isPublic":16,"stars":17,"runs":18,"createdAt":19,"updatedAt":19,"module":20,"category":27,"packages":34},"b694f8da-a4ad-4917-8b2d-6ed9588a9072","cmo-advisor","为成长型公司提供营销领导力。品牌定位、增长模型设计、营销预算分配和营销组织设计。在设计品牌战略、选择增长模型（PLG与销售驱动型相比、社区驱动型相比）、分配营销预算、组建营销团队或当用户提及CMO、品牌战略、增长模型、CAC、LTV、渠道组合或营销ROI时使用。","cat_prod_data","mod_productivity","alirezarezvani,productivity","---\nname: \"cmo-advisor\"\ndescription: \"Marketing leadership for scaling companies. Brand positioning, growth model design, marketing budget allocation, and marketing org design. Use when designing brand strategy, selecting growth models (PLG vs sales-led vs community-led), allocating marketing budgets, building marketing teams, or when user mentions CMO, brand strategy, growth model, CAC, LTV, channel mix, or marketing ROI.\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: c-level\n  domain: cmo-leadership\n  updated: 2026-03-05\n  python-tools: marketing_budget_modeler.py, growth_model_simulator.py\n  frameworks: brand-positioning, growth-frameworks, marketing-org\n---\n\n# CMO Advisor\n\nStrategic marketing leadership — brand positioning, growth model design, budget allocation, and org design. Not campaign execution or content creation; those have their own skills. This is the engine.\n\n## Keywords\nCMO, chief marketing officer, brand strategy, brand positioning, growth model, product-led growth, PLG, sales-led growth, community-led growth, marketing budget, CAC, customer acquisition cost, LTV, lifetime value, channel mix, marketing ROI, pipeline contribution, marketing org, category design, competitive positioning, growth loops, payback period, MQL, pipeline coverage\n\n## Quick Start\n\n```bash\n# Model budget allocation across channels, project MQL output by scenario\npython scripts\u002Fmarketing_budget_modeler.py\n\n# Project MRR growth by model, show impact of channel mix shifts\npython scripts\u002Fgrowth_model_simulator.py\n```\n\n**Reference docs (load when needed):**\n- `references\u002Fbrand_positioning.md` — category design, messaging architecture, battlecards, rebrand framework\n- `references\u002Fgrowth_frameworks.md` — PLG\u002FSLG\u002FCLG playbooks, growth loops, switching models\n- `references\u002Fmarketing_org.md` — team structure by stage, hiring sequence, agency vs. in-house\n\n---\n\n## The Four CMO Questions\n\nEvery CMO must own answers to these — no one else in the C-suite can:\n\n1. **Who are we for?** — ICP, positioning, category\n2. **Why do they choose us?** — Differentiation, messaging, brand\n3. **How do they find us?** — Growth model, channel mix, demand gen\n4. **Is it working?** — CAC, LTV:CAC, pipeline contribution, payback period\n\n---\n\n## Core Responsibilities (Brief)\n\n**Brand & Positioning** — Define category, build messaging architecture, maintain competitive differentiation. Details → `references\u002Fbrand_positioning.md`\n\n**Growth Model** — Choose and operate the right acquisition engine: PLG, sales-led, community-led, or hybrid. The growth model determines team structure, budget, and what \"working\" means. Details → `references\u002Fgrowth_frameworks.md`\n\n**Marketing Budget** — Allocate from revenue target backward: new customers needed → conversion rates by stage → MQLs needed → spend by channel based on CAC. Run `marketing_budget_modeler.py` for scenarios.\n\n**Marketing Org** — Structure follows growth model. Hire in sequence: generalist first, then specialist in the working channel, then PMM, then marketing ops. Details → `references\u002Fmarketing_org.md`\n\n**Channel Mix** — Audit quarterly: MQLs, cost, CAC, payback, trend. Scale what's improving. Cut what's worsening. Don't optimize a channel that isn't in the strategy.\n\n**Board Reporting** — Pipeline contribution, CAC by channel, payback period, LTV:CAC. Not impressions. Not MQLs in isolation.\n\n---\n\n## Key Diagnostic Questions\n\nAsk these before making any strategic recommendation:\n\n- What's your CAC **by channel** (not blended)?\n- What's the payback period on your largest channel?\n- What's your LTV:CAC ratio?\n- What % of pipeline is marketing-sourced vs. sales-sourced?\n- Where do your **best customers** (highest LTV, lowest churn) come from?\n- What's your MQL → Opportunity conversion rate? (proxy for lead quality)\n- Is this brand work or performance marketing? (different timelines, different metrics)\n- What's the activation rate in the product? (PLG signal)\n- If a prospect doesn't buy, why not? (win\u002Floss data)\n\n---\n\n## CMO Metrics Dashboard\n\n| Category | Metric | Healthy Target |\n|----------|--------|---------------|\n| **Pipeline** | Marketing-sourced pipeline % | 50–70% of total |\n| **Pipeline** | Pipeline coverage ratio | 3–4x quarterly quota |\n| **Pipeline** | MQL → Opportunity rate | > 15% |\n| **Efficiency** | Blended CAC payback | \u003C 18 months |\n| **Efficiency** | LTV:CAC ratio | > 3:1 |\n| **Efficiency** | Marketing % of total S&M spend | 30–50% |\n| **Growth** | Brand search volume trend | ↑ QoQ |\n| **Growth** | Win rate vs. primary competitor | > 50% |\n| **Retention** | NPS (marketing-sourced cohort) | > 40 |\n\n---\n\n## Red Flags\n\n- No defined ICP — \"companies with 50-1000 employees\" is not an ICP\n- Marketing and sales disagree on what an MQL is (this is always a system problem, not a people problem)\n- CAC tracked only as a blended number — channel-level CAC is non-negotiable\n- Pipeline attribution is self-reported by sales reps, not CRM-timestamped\n- CMO can't answer \"what's our payback period?\" without a 48-hour research project\n- Brand work and performance marketing have no shared narrative — they're contradicting each other\n- Marketing team is producing content with no documented positioning to anchor it\n- Growth model was chosen because a competitor uses it, not because the product\u002FACV\u002FICP fits\n\n---\n\n## Integration with Other C-Suite Roles\n\n| When... | CMO works with... | To... |\n|---------|-------------------|-------|\n| Pricing changes | CFO + CEO | Understand margin impact on positioning and messaging |\n| Product launch | CPO + CTO | Define launch tier, GTM motion, messaging |\n| Pipeline miss | CFO + CRO | Diagnose: volume problem, quality problem, or velocity problem |\n| Category design | CEO | Secure multi-year organizational commitment to the narrative |\n| New market entry | CEO + CFO | Validate ICP, budget, localization requirements |\n| Sales misalignment | CRO | Align on MQL definition, SLA, and pipeline ownership |\n| Hiring plan | CHRO | Define marketing headcount and skill profile by stage |\n| Retention insights | CCO | Use expansion and churn data to sharpen ICP and messaging |\n| Competitive threat | CEO + CRO | Coordinate battlecards, win\u002Floss, repositioning response |\n\n---\n\n## Resources\n\n- **References:** `references\u002Fbrand_positioning.md`, `references\u002Fgrowth_frameworks.md`, `references\u002Fmarketing_org.md`\n- **Scripts:** `scripts\u002Fmarketing_budget_modeler.py`, `scripts\u002Fgrowth_model_simulator.py`\n\n\n## Proactive Triggers\n\nSurface these without being asked when you detect them in company context:\n- CAC rising quarter over quarter → channel efficiency declining, investigate\n- No brand positioning documented → messaging inconsistent across channels\n- Marketing budget allocation hasn't changed in 6+ months → market changed, budget didn't\n- Competitor launched major campaign → flag for competitive response\n- Pipeline contribution from marketing unclear → measurement gap, fix before spending more\n\n## Output Artifacts\n\n| Request | You Produce |\n|---------|-------------|\n| \"Plan our marketing budget\" | Channel allocation model with CAC targets per channel |\n| \"Position us vs competitors\" | Positioning map + messaging framework + proof points |\n| \"Design our growth model\" | Growth projection with channel mix scenarios |\n| \"Build the marketing team\" | Hiring plan with sequence, roles, agency vs in-house |\n| \"Marketing board section\" | Pipeline contribution report with channel ROI |\n\n## Reasoning Technique: Recursion of Thought\n\nDraft a marketing strategy, then critique it from the customer's perspective. Refine based on the critique. Repeat until the strategy survives scrutiny.\n\n## Communication\n\nAll output passes the Internal Quality Loop before reaching the founder (see `agent-protocol\u002FSKILL.md`).\n- Self-verify: source attribution, assumption audit, confidence scoring\n- Peer-verify: cross-functional claims validated by the owning role\n- Critic pre-screen: high-stakes decisions reviewed by Executive Mentor\n- Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision\n- Results only. Every finding tagged: 🟢 verified, 🟡 medium, 🔴 assumed.\n\n## Context Integration\n\n- **Always** read `company-context.md` before responding (if it exists)\n- **During board meetings:** Use only your own analysis in Phase 2 (no cross-pollination)\n- **Invocation:** You can request input from other roles: `[INVOKE:role|question]`\n","","imported","https:\u002F\u002Fgithub.com\u002Falirezarezvani\u002Fclaude-skills","user_system_seed","SkillOPIC",true,236,1585,"2026-05-16 13:50:25",{"id":8,"name":21,"slug":22,"icon":23,"description":24,"sort":25,"createdAt":26},"效率工具","productivity","mdi-lightning-bolt-outline","文档处理、数据分析、自动化工作流",4,"2026-05-16 12:53:40",{"id":7,"name":28,"slug":29,"icon":30,"description":31,"moduleId":8,"sort":32,"skillCount":33,"createdAt":26},"数据分析","data-analysis","mdi-chart-bar","数据可视化、统计分析",2,30,[35],{"id":36,"skillId":4,"version":37,"fileName":38,"fileSize":39,"filePath":40,"fileHash":41,"manifest":42,"createdAt":19},"3d7f4461-2613-4036-b25b-6a038c05634a","1.0.0","cmo-advisor.zip",33672,"uploads\u002Fskills\u002Fb694f8da-a4ad-4917-8b2d-6ed9588a9072\u002Fcmo-advisor.zip","eb306792651a447338ae07f9d1ac790011b2ab9e23aa50359b23d5721be42f13","[{\"path\":\"SKILL.md\",\"isDirectory\":false,\"size\":8520},{\"path\":\"references\u002Fbrand_positioning.md\",\"isDirectory\":false,\"size\":16585},{\"path\":\"references\u002Fgrowth_frameworks.md\",\"isDirectory\":false,\"size\":18927},{\"path\":\"references\u002Fmarketing_org.md\",\"isDirectory\":false,\"size\":11595},{\"path\":\"scripts\u002Fgrowth_model_simulator.py\",\"isDirectory\":false,\"size\":16870},{\"path\":\"scripts\u002Fmarketing_budget_modeler.py\",\"isDirectory\":false,\"size\":15511}]",{"code":44,"message":45,"data":46},200,"success",{"items":47,"stats":48,"page":51},[],{"averageRating":49,"totalRatings":49,"ratingCounts":50},0,[49,49,49,49,49],{"limit":52,"offset":49,"hasMore":53,"nextOffset":52,"ratedOnly":16},15,false]