Card snapshot

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "name": "Cadence Lab",
  "version": "1.0.0",
  "description": "Customer experience operating systems practice. Cadence Lab diagnoses onboarding drift, lifecycle risk, unreliable CRM workflows, and AI service readiness, then turns evidence into practical operating change.",
  "url": "https://cadencelab.co/",
  "supportedInterfaces": [
    {
      "url": "https://cadencelab.co/.well-known/agent-skills/index.json",
      "transport": "https"
    }
  ],
  "provider": {
    "organization": "Cadence Lab"
  },
  "capabilities": {
    "pushNotifications": false,
    "stateTransitionHistory": false
  },
  "defaultInputModes": [
    "text/plain"
  ],
  "defaultOutputModes": [
    "text/plain",
    "text/html"
  ],
  "skills": [
    {
      "id": "cx-diagnostic",
      "name": "CX Systems Diagnostic",
      "description": "Trace recurring customer friction through workflows, ownership, CRM signals, service rules, and cross-functional handoffs. Produces a structured evidence base and actionable operating recommendations.",
      "tags": [
        "cx",
        "diagnostic",
        "crm",
        "workflow",
        "operations"
      ],
      "examples": [
        "Diagnose why our onboarding completion rate dropped",
        "Trace the handoff failures between sales and onboarding",
        "Audit our CRM workflow for data quality issues"
      ]
    },
    {
      "id": "lifecycle-risk-review",
      "name": "Lifecycle Risk Review",
      "description": "Examine lifecycle stages, risk signals, handoffs, intervention rules, and the data used to identify preventable customer loss.",
      "tags": [
        "lifecycle",
        "risk",
        "retention",
        "churn"
      ],
      "examples": [
        "Identify where we are losing customers in the lifecycle",
        "Review our intervention rules for at-risk accounts"
      ]
    },
    {
      "id": "crm-workflow-audit",
      "name": "CRM Workflow Audit",
      "description": "Assess CRM data, automation, ownership, reporting, and the gap between configured and actual work.",
      "tags": [
        "crm",
        "audit",
        "salesforce",
        "automation"
      ],
      "examples": [
        "Audit our Salesforce automation rules",
        "Find gaps between CRM configuration and actual team behavior"
      ]
    },
    {
      "id": "ai-service-readiness",
      "name": "AI Service Readiness Review",
      "description": "Evaluate workflow readiness, human oversight, data dependencies, adoption risk, and measurement before AI implementation.",
      "tags": [
        "ai",
        "readiness",
        "adoption",
        "governance"
      ],
      "examples": [
        "Assess whether our support workflows are ready for AI",
        "Review our AI adoption risks and governance gaps"
      ]
    },
    {
      "id": "fit-check",
      "name": "Fit Check",
      "description": "Decide whether an operating problem is ready for a diagnostic engagement. Share the problem, teams, systems, and desired outcome for a fit assessment.",
      "tags": [
        "intake",
        "qualification",
        "engagement"
      ],
      "examples": [
        "Is our retention problem a good fit for a diagnostic?",
        "Start a fit check for our onboarding issues"
      ]
    }
  ]
}