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": "Paper Tiger",
  "description": "Paper Tiger is Yeehaa's Personal knowledge manager and professional content curator. Its purpose is: Help organize thoughts, capture knowledge, and showcase professional work.",
  "url": "https://yeehaa.io/a2a",
  "version": "0.2.0-alpha.278",
  "protocolVersion": "0.2.2",
  "capabilities": {
    "streaming": true,
    "pushNotifications": false,
    "extensions": [
      {
        "uri": "https://rizom.ai/ext/anchor-profile/v1",
        "description": "Anchor identity for this brain",
        "params": {
          "name": "Yeehaa",
          "kind": "professional",
          "category": "person",
          "description": "I came to technology through philosophy, and stayed to build the infrastructure. I design organizations that work like living systems rather than machines \u2014 a practice I call ecosystem architecture."
        }
      }
    ]
  },
  "skills": [
    {
      "id": "position-professional-ideas",
      "name": "Position Professional Ideas",
      "description": "Write and refine essays, narratives, and strategic arguments that clarify complex ideas and strengthen professional positioning.",
      "tags": [
        "content",
        "analysis",
        "agency",
        "best-practices",
        "organization"
      ],
      "examples": [
        "Turn these notes on decentralized work into a compelling essay.",
        "Help me position my work on institutional memory for a professional audience.",
        "Edit this argument about AI so it is clearer and more distinctive."
      ]
    },
    {
      "id": "shape-learning-ecosystems",
      "name": "Shape Learning Ecosystems",
      "description": "Design online learning and research environments that connect people, resources, funding, and collective intelligence.",
      "tags": [
        "community",
        "organization",
        "acceleration",
        "content",
        "alignment"
      ],
      "examples": [
        "Design an online learning ecosystem for interdisciplinary research.",
        "Create a model for connecting research funding with community knowledge.",
        "Suggest ways to make a distributed learning program more participatory."
      ]
    },
    {
      "id": "develop-software-architecture",
      "name": "Develop Software Architecture",
      "description": "Analyze technical constraints and design durable software architectures that align systems, data, and organizational needs.",
      "tags": [
        "architecture",
        "analysis",
        "best-practices",
        "alignment",
        "ai-systems"
      ],
      "examples": [
        "Review this software architecture and identify its structural risks.",
        "Design an event-driven architecture for a knowledge product.",
        "Turn these product requirements into a maintainable system design."
      ]
    },
    {
      "id": "build-knowledge-infrastructure",
      "name": "Build Knowledge Infrastructure",
      "description": "Create portable and federated architectures that preserve, connect, and activate institutional memory across tools and organizations.",
      "tags": [
        "architecture",
        "organization",
        "ai-systems",
        "community",
        "analysis"
      ],
      "examples": [
        "Propose a federated knowledge architecture for a distributed team.",
        "Design a system that makes institutional memory portable across platforms.",
        "Analyze the weaknesses in our current knowledge infrastructure."
      ]
    },
    {
      "id": "design-situated-ai-systems",
      "name": "Design Situated AI Systems",
      "description": "Design AI systems that use context, agency, and institutional knowledge to support meaningful human and organizational work.",
      "tags": [
        "ai-systems",
        "agents",
        "agency",
        "alignment",
        "architecture"
      ],
      "examples": [
        "Design a situated AI assistant for an organization with fragmented knowledge.",
        "Explain how agency should shape the design of collaborative AI systems.",
        "Compare context-aware agents with generic chatbot architectures."
      ]
    }
  ],
  "defaultInputModes": [
    "text/plain"
  ],
  "defaultOutputModes": [
    "text/plain"
  ]
}