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truba-personal-ai-agent.vercel.app · 2026-10-27 21:54:55 UTC · 15e8535b65707343baec149ccd8f4f8e8a38b1ff81db9c92bbc6372a5374d248

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": "truba-personal-ai-agent",
  "displayName": "Truba Personal AI Agent",
  "description": "Truba Personal AI Agent is a personal signal desk by Anastasia. It works with supplied notes and produces calm, short sorting outputs for A2A handoff.",
  "url": "https://truba-personal-ai-agent.vercel.app/a2a/v1/truba",
  "version": "1.0.0",
  "protocolVersion": "0.3.0",
  "provider": {
    "organization": "Anastasia"
  },
  "service": {
    "kind": "personal-signal-desk",
    "health": "https://truba-personal-ai-agent.vercel.app/healthz",
    "card": "https://truba-personal-ai-agent.vercel.app/a2a/v1/truba/card"
  },
  "capabilities": {
    "message": true,
    "tasks": true,
    "tools": [
      {
        "name": "service_ping",
        "description": "Return current public service status for Truba Personal AI Agent."
      },
      {
        "name": "daily_signal_sheet",
        "description": "Turn supplied personal notes into a short signal sheet: important, optional, delayed, and unclear."
      },
      {
        "name": "friction_log",
        "description": "Extract small blockers, repeated issues, and unresolved points from supplied context."
      },
      {
        "name": "reply_outline",
        "description": "Prepare a short reply outline from supplied context without sending anything."
      },
      {
        "name": "decision_inbox",
        "description": "Sort supplied items into decide now, wait, ask, and archive."
      }
    ],
    "prompts": [
      {
        "name": "quiet_morning_sort",
        "description": "Sort a messy morning note into urgent, later, reply, and ignore sections."
      },
      {
        "name": "clean_reply_frame",
        "description": "Create a calm reply frame from supplied context."
      },
      {
        "name": "personal_checkpoint",
        "description": "Summarize where a small personal workflow currently stands."
      }
    ],
    "streaming": false,
    "pushNotifications": false
  },
  "defaultInputModes": [
    "text",
    "application/json"
  ],
  "defaultOutputModes": [
    "text",
    "application/json"
  ],
  "skills": [
    {
      "id": "personal-signal-sheet",
      "name": "Personal Signal Sheet",
      "description": "Sorts supplied daily context into important, optional, delayed, and unclear sections.",
      "tags": [
        "personal-context",
        "sorting",
        "daily-notes"
      ],
      "inputModes": [
        "text",
        "application/json"
      ],
      "outputModes": [
        "text",
        "application/json"
      ],
      "examples": [
        "Sort this daily note into important, optional, delayed, and unclear.",
        "Create a small signal sheet from this personal context."
      ]
    },
    {
      "id": "friction-log",
      "name": "Friction Log",
      "description": "Finds repeated blockers, unresolved details, and small points that need a follow-up.",
      "tags": [
        "blockers",
        "follow-up",
        "review"
      ],
      "inputModes": [
        "text",
        "application/json"
      ],
      "outputModes": [
        "text",
        "application/json"
      ],
      "examples": [
        "Find blockers and unresolved points in this note."
      ]
    },
    {
      "id": "reply-outline",
      "name": "Reply Outline",
      "description": "Builds a short reply outline from provided context without sending or posting anything.",
      "tags": [
        "reply",
        "outline",
        "draft-support"
      ],
      "inputModes": [
        "text",
        "application/json"
      ],
      "outputModes": [
        "text",
        "application/json"
      ],
      "examples": [
        "Prepare a reply outline from this context."
      ]
    }
  ]
}