{
  "skill_name": "revops",
  "evals": [
    {
      "id": 1,
      "prompt": "Help me set up our lead lifecycle stages. We're a B2B SaaS company selling to mid-market. We use HubSpot as our CRM and have marketing and sales teams that aren't aligned on lead definitions.",
      "expected_output": "Should check for product-marketing-context.md first. Should apply the lead lifecycle framework: Subscriber → Lead → MQL → SQL → Opportunity → Customer → Evangelist. Should define clear criteria for each stage transition (what makes a Lead become an MQL, etc.). Should address the alignment issue between marketing and sales — define shared definitions and SLAs. Should recommend CRM implementation steps for HubSpot. Should include lead scoring setup. Should provide a handoff process between marketing and sales.",
      "assertions": [
        "Checks for product-marketing-context.md",
        "Applies lead lifecycle framework with all stages",
        "Defines criteria for each stage transition",
        "Addresses marketing-sales alignment",
        "Provides CRM implementation guidance for HubSpot",
        "Includes lead scoring setup",
        "Provides handoff process between teams"
      ],
      "files": []
    },
    {
      "id": 2,
      "prompt": "Set up lead scoring for us. We want to prioritize which leads sales should call first. We sell enterprise software ($50k+ ACV).",
      "expected_output": "Should apply the lead scoring framework with three dimensions: explicit scoring (firmographics — company size, industry, title match), implicit scoring (behavioral — page visits, content downloads, email engagement), and negative scoring (unsubscribes, competitor emails, student emails). Should provide specific scoring criteria appropriate for enterprise ($50k+ ACV): weight firmographic signals heavily, include budget and authority signals. Should define score thresholds for MQL and SQL. Should recommend lead routing based on scores.",
      "assertions": [
        "Applies lead scoring with explicit, implicit, and negative dimensions",
        "Provides specific scoring criteria for enterprise",
        "Weights firmographic signals appropriately",
        "Includes behavioral scoring signals",
        "Includes negative scoring signals",
        "Defines MQL and SQL score thresholds",
        "Recommends lead routing based on scores"
      ],
      "files": []
    },
    {
      "id": 3,
      "prompt": "our pipeline is a mess. deals sit in stages forever and we don't know what's actually going to close. how do we fix this?",
      "expected_output": "Should trigger on casual phrasing. Should apply the pipeline stage management guidance. Should recommend: define clear pipeline stages with entry/exit criteria, set maximum time in each stage, implement stage velocity tracking, add required fields per stage to force data entry. Should address deal hygiene: regular pipeline reviews, stale deal flagging, win/loss analysis. Should recommend CRM automation to enforce stage rules. Should provide a practical cleanup plan for the current mess.",
      "assertions": [
        "Triggers on casual phrasing",
        "Applies pipeline stage management",
        "Defines stages with entry/exit criteria",
        "Recommends maximum time per stage",
        "Addresses deal hygiene and pipeline reviews",
        "Recommends CRM automation for enforcement",
        "Provides practical cleanup plan"
      ],
      "files": []
    },
    {
      "id": 4,
      "prompt": "What RevOps metrics should we be tracking? We want to build a dashboard for our leadership team.",
      "expected_output": "Should apply the RevOps metrics dashboard framework. Should recommend metrics across the funnel: lead volume by source, MQL-to-SQL conversion rate, SQL-to-Opportunity rate, win rate, average deal size, sales cycle length, pipeline velocity, pipeline coverage ratio, CAC, LTV, LTV:CAC ratio. Should organize metrics by audience (marketing team, sales team, leadership). Should recommend dashboard structure and cadence for reviews.",
      "assertions": [
        "Applies RevOps metrics dashboard",
        "Covers full-funnel metrics",
        "Includes conversion rates between stages",
        "Includes pipeline velocity and coverage",
        "Includes CAC, LTV, LTV:CAC",
        "Organizes by audience",
        "Recommends dashboard structure and review cadence"
      ],
      "files": []
    },
    {
      "id": 5,
      "prompt": "Our CRM data is a disaster. Duplicate records, missing fields, inconsistent naming. How do we clean it up and keep it clean?",
      "expected_output": "Should apply the data hygiene guidance. Should recommend: duplicate detection and merging strategy, required field enforcement, standardized naming conventions (picklists over free text), data validation rules, regular audit cadence. Should address both cleanup (one-time fix) and prevention (ongoing processes). Should recommend CRM automation for data hygiene. Should provide a prioritized cleanup plan (start with highest-impact data quality issues).",
      "assertions": [
        "Applies data hygiene guidance",
        "Recommends duplicate detection and merging",
        "Recommends required field enforcement",
        "Addresses standardized naming conventions",
        "Covers both cleanup and prevention",
        "Recommends CRM automation for hygiene",
        "Provides prioritized cleanup plan"
      ],
      "files": []
    },
    {
      "id": 6,
      "prompt": "Can you help me write cold outreach emails to prospects in our pipeline?",
      "expected_output": "Should recognize this is a cold email / outbound writing task, not RevOps. Should defer to or cross-reference the cold-email skill for writing outbound prospecting emails. RevOps covers the systems, processes, and data infrastructure — not the actual email content.",
      "assertions": [
        "Recognizes this as cold email writing, not RevOps",
        "References or defers to cold-email skill",
        "Explains RevOps covers systems and processes, not email content"
      ],
      "files": []
    }
  ]
}
