MCPInstall

revenue-operations

Эксперт RevOps. Используй для GTM стратегий, процессов продаж, CRM систем и revenue метрик.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/dengineproblem/agents-monorepo --skill revenue-operations
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads revenue-operations automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Revenue Operations Expert

Strategic expertise in aligning sales, marketing, and customer success to optimize the entire revenue engine.

RevOps Framework

revenue_engine:
  flow: "Marketing → SDR → AE → CS → Expansion"

  stages:
    marketing:
      input: "Traffic/Leads"
      output: "MQLs"
      metrics: ["MQL Volume", "CPL", "Channel Mix"]

    sdr:
      input: "MQLs"
      output: "SQLs"
      metrics: ["Conversion Rate", "Response Time", "Meeting Rate"]

    ae:
      input: "SQLs"
      output: "Closed Won"
      metrics: ["Win Rate", "ACV", "Sales Cycle"]

    cs:
      input: "Customers"
      output: "Retained Revenue"
      metrics: ["NRR", "Churn", "NPS"]

    expansion:
      input: "Existing Customers"
      output: "Upsell/Cross-sell"
      metrics: ["Expansion Revenue", "Attach Rate"]

core_principles:
  - "Single source of truth for data"
  - "Process standardization across teams"
  - "Technology enablement"
  - "Predictable revenue growth"

GTM Strategy

gtm_motions:
  sales_led:
    characteristics:
      - "High-touch sales process"
      - "Enterprise focus"
      - "Complex products"
    metrics:
      cac: "$10,000-50,000"
      sales_cycle: "90-180 days"
      acv: "$50,000+"
    team_structure:
      - "SDRs (outbound focus)"
      - "AEs (closers)"
      - "SEs (technical support)"
      - "CSMs (post-sale)"

  product_led:
    characteristics:
      - "Self-service onboarding"
      - "Freemium or free trial"
      - "Product drives conversion"
    metrics:
      cac: "$500-2,000"
      sales_cycle: "7-30 days"
      acv: "$1,000-20,000"
    team_structure:
      - "Growth team"
      - "Product specialists"
      - "Customer success (scaled)"

  hybrid:
    characteristics:
      - "PLG for SMB"
      - "Sales-assisted for Enterprise"
      - "Multiple price points"
    metrics:
      smb_cac: "$1,000-5,000"
      enterprise_cac: "$20,000+"

Revenue Metrics

core_metrics:
  bookings:
    arr: "Annual Recurring Revenue"
    mrr: "Monthly Recurring Revenue"
    tcv: "Total Contract Value"
    acv: "Annual Contract Value"
    formula:
      arr: "Sum of all annual contract values"
      mrr: "ARR / 12"

  growth:
    net_new_arr: "New logos + Expansion - Churn"
    nrr: "(Starting ARR + Expansion - Churn) / Starting ARR"
    gross_retention: "(Starting ARR - Churn) / Starting ARR"
    targets:
      nrr: ">110%"
      gross_retention: ">90%"

  efficiency:
    cac: "Sales & Marketing Spend / New Customers"
    ltv: "ARPU × Gross Margin × Customer Lifetime"
    ltv_cac: "LTV / CAC"
    cac_payback: "CAC / (ARPU × Gross Margin)"
    targets:
      ltv_cac: ">3:1"
      cac_payback: "<18 months"

  velocity:
    pipeline_velocity: |
      (# Opportunities × Win Rate × ACV) / Sales Cycle Days
    sales_cycle: "Days from SQL to Close"
    stage_conversion: "Opportunities moving to next stage"

Process Design

Lead Management

lead_process:
  lead_sources:
    inbound:
      - "Website forms"
      - "Content downloads"
      - "Demo requests"
      - "Free trial signups"
    outbound:
      - "SDR prospecting"
      - "ABM campaigns"
      - "Events"
      - "Partner referrals"

  lead_scoring:
    demographic:
      company_size:
        enterprise: 30
        mid_market: 20
        smb: 10
      title:
        c_level: 25
        vp: 20
        director: 15
        manager: 10
      industry:
        target_vertical: 20
        adjacent: 10
        other: 0

    behavioral:
      demo_request: 50
      pricing_page: 30
      content_download: 10
      email_open: 5
      website_visit: 2

    threshold:
      mql: 50
      sql: 80

  routing:
    enterprise: "Named AE"
    mid_market: "Territory-based"
    smb: "Round robin"
    inbound: "5 minute response SLA"

Opportunity Management

opportunity_stages:
  stage_1_discovery:
    name: "Discovery"
    probability: "10%"
    exit_criteria:
      - "Pain identified"
      - "Budget confirmed"
      - "Timeline established"
    required_fields:
      - "Primary contact"
      - "Problem statement"
      - "Estimated deal size"

  stage_2_qualification:
    name: "Qualification"
    probability: "25%"
    exit_criteria:
      - "MEDDIC complete"
      - "Technical fit confirmed"
      - "Champion identified"
    required_fields:
      - "Decision criteria"
      - "Decision process"
      - "Competition"

  stage_3_demo:
    name: "Demo/Evaluation"
    probability: "50%"
    exit_criteria:
      - "Demo completed"
      - "Positive feedback"
      - "Next steps agreed"
    required_fields:
      - "Demo date"
      - "Attendees"
      - "Follow-up actions"

  stage_4_proposal:
    name: "Proposal"
    probability: "75%"
    exit_criteria:
      - "Proposal delivered"
      - "Pricing discussed"
      - "Contract reviewed"
    required_fields:
      - "Proposal sent date"
      - "Final pricing"
      - "Contract terms"

  stage_5_negotiation:
    name: "Negotiation"
    probability: "90%"
    exit_criteria:
      - "Terms agreed"
      - "Legal approved"
      - "Signature pending"
    required_fields:
      - "Final contract"
      - "Expected close date"

  closed_won:
    probability: "100%"
    required_fields:
      - "Contract signed"
      - "Start date"
      - "Implementation plan"

MEDDIC Framework

meddic:
  metrics:
    question: "What business results are you trying to achieve?"
    required: true
    examples:
      - "Increase revenue by 20%"
      - "Reduce costs by $500K"
      - "Improve efficiency by 30%"

  economic_buyer:
    question: "Who has budget authority?"
    required: true
    attributes:
      - "Budget holder"
      - "Final decision maker"
      - "Can approve without escalation"

  decision_criteria:
    question: "How will you evaluate solutions?"
    required: true
    categories:
      - "Technical requirements"
      - "Business requirements"
      - "Commercial terms"

  decision_process:
    question: "What is your evaluation process?"
    required: true
    elements:
      - "Steps to decision"
      - "Timeline"
      - "Stakeholders involved"

  identify_pain:
    question: "What problem are you solving?"
    required: true
    depth:
      - "Business impact"
      - "Personal impact"
      - "Urgency"

  champion:
    question: "Who will advocate internally?"
    required: true
    criteria:
      - "Has influence"
      - "Has access to EB"
      - "Wants you to win"

Tech Stack Architecture

tech_stack:
  core_systems:
    crm:
      tool: "Salesforce / HubSpot"
      purpose: "System of record"
      integrations: ["All revenue tools"]

    marketing_automation:
      tool: "Marketo / HubSpot / Pardot"
      purpose: "Lead nurture, scoring"
      integrations: ["CRM", "Website", "Email"]

    sales_engagement:
      tool: "Outreach / SalesLoft"
      purpose: "Sequences, cadences"
      integrations: ["CRM", "Email", "Calendar"]

    revenue_intelligence:
      tool: "Gong / Chorus"
      purpose: "Call recording, insights"
      integrations: ["CRM", "Calendar", "Video"]

  supporting_tools:
    data_enrichment:
      - "ZoomInfo"
      - "Clearbit"
      - "Apollo"

    analytics_bi:
      - "Tableau"
      - "Looker"
      - "Mode"

    cpq:
      - "Salesforce CPQ"
      - "DealHub"
      - "PandaDoc"

    customer_success:
      - "Gainsight"
      - "ChurnZero"
      - "Totango"

  integration_patterns:
    native: "Preferred when available"
    middleware: "Workato, Tray.io, Zapier"
    custom: "APIs for complex logic"

Forecasting

forecast_methodology:
  categories:
    commit:
      definition: "Will close this period"
      confidence: ">90%"
      criteria:
        - "Verbal commitment"
        - "Contract in legal"
        - "No blockers"

    best_case:
      definition: "Could close with effort"
      confidence: "60-90%"
      criteria:
        - "Proposal accepted"
        - "Active negotiation"
        - "Timeline aligned"

    pipeline:
      definition: "May close this period"
      confidence: "30-60%"
      criteria:
        - "In evaluation"
        - "Budget confirmed"
        - "Timeline possible"

  weighted_pipeline:
    formula: "Sum(Deal Value × Stage Probability)"
    adjustments:
      - "Historical win rates by rep"
      - "Deal age penalties"
      - "Competition presence"

  forecast_accuracy:
    target: "Within 10% of actual"
    measurement: "Commit vs Closed Won"
    cadence: "Weekly review"

Capacity Planning

capacity_model:
  sdr:
    activities_per_day:
      calls: 60
      emails: 100
      linkedin: 30
    output_per_month:
      meetings: 15
      sqls: 10
    quota: "$150K pipeline/month"
    ramp_time: "3 months"

  ae:
    capacity:
      active_opportunities: 25
      new_per_month: 8
    quota: "$1.2M ARR/year"
    ramp_time: "6 months"
    average_deal_size: "$50K"
    win_rate: "25%"

  cs:
    book_size:
      smb: "150 accounts"
      mid_market: "50 accounts"
      enterprise: "15 accounts"
    nrr_target: "115%"

  headcount_planning:
    formula: |
      Required Reps =
        (Revenue Target / Quota) ×
        (1 / (1 - Attrition Rate)) ×
        (1 + Ramp Adjustment)
    example:
      revenue_target: "$20M"
      quota: "$1M"
      attrition: "20%"
      ramp_factor: "1.25"
      required_reps: "31"

Reporting Dashboard

executive_dashboard:
  weekly_metrics:
    - "Pipeline created"
    - "Meetings booked"
    - "Deals won/lost"
    - "Forecast update"

  monthly_metrics:
    - "Bookings vs target"
    - "NRR"
    - "Win rate trends"
    - "Sales cycle analysis"

  quarterly_metrics:
    - "ARR growth"
    - "CAC trends"
    - "Capacity utilization"
    - "Funnel conversion"

sales_dashboard:
  individual_metrics:
    - "Pipeline coverage"
    - "Activity metrics"
    - "Stage progression"
    - "Deal velocity"

  team_metrics:
    - "Leaderboard"
    - "Quota attainment"
    - "Win/loss analysis"

Process Optimization

optimization_areas:
  lead_response:
    current: "30 min average"
    target: "<5 min"
    impact: "2x conversion"
    solution: "Auto-routing + alerts"

  pipeline_coverage:
    current: "2.5x"
    target: "4x"
    impact: "Forecast accuracy"
    solution: "SDR capacity + ABM"

  win_rate:
    current: "22%"
    target: "30%"
    impact: "+36% bookings"
    solution: "Deal qualification + coaching"

  sales_cycle:
    current: "120 days"
    target: "90 days"
    impact: "+33% velocity"
    solution: "Multi-threading + mutual action plans"

Лучшие практики

  1. Single source of truth — CRM как единый источник данных
  2. Process before tools — сначала процесс, потом автоматизация
  3. Data hygiene — качество данных критично
  4. Cross-functional alignment — Sales + Marketing + CS
  5. Predictable forecasting — accuracy >90%
  6. Continuous optimization — итерации на основе данных

FAQ

What does the revenue-operations skill do?

Эксперт RevOps. Используй для GTM стратегий, процессов продаж, CRM систем и revenue метрик.

How do I install revenue-operations?

Run npx skills add https://github.com/dengineproblem/agents-monorepo --skill revenue-operations in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/revenue-operations/ (personal) or .claude/skills/revenue-operations/ (project).

Which AI agents can use revenue-operations?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is revenue-operations safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains revenue-operations?

It is published by dengineproblem in dengineproblem/agents-monorepo. It has 71 recorded installs.

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