{
  "schemaVersion": "1.0",
  "item": {
    "slug": "cx-agent-studio",
    "name": "Cx Agent Studio",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/Yash-Kavaiya/cx-agent-studio",
    "canonicalUrl": "https://clawhub.ai/Yash-Kavaiya/cx-agent-studio",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/cx-agent-studio",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=cx-agent-studio",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "references/agents.md",
      "references/best-practices.md",
      "references/callbacks.md",
      "references/evaluation.md",
      "references/flows.md",
      "references/guardrails.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/cx-agent-studio"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/cx-agent-studio",
    "agentPageUrl": "https://openagent3.xyz/skills/cx-agent-studio/agent",
    "manifestUrl": "https://openagent3.xyz/skills/cx-agent-studio/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/cx-agent-studio/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "CX Agent Studio",
        "body": "Customer Experience Agent Studio (CX Agent Studio) is a minimal code conversational agent builder built on the Agent Development Kit (ADK), representing the evolution of Dialogflow CX."
      },
      {
        "title": "Core Capabilities",
        "body": "AI-Augmented Building: Generate agents using Gemini with a 1-2 sentence goal.\nBi-directional Streaming: Ultra-low latency voice interactions.\nAsynchronous Tool Calling: Maintains natural conversation flow during backend calls."
      },
      {
        "title": "1. Generating an Agent with AI",
        "body": "To generate an agent automatically:\n\nProvide a clear 1-2 sentence goal.\nOptionally provide up to 5 knowledge documents (under 8MB total) like FAQs or tool catalogs.\nNote: Only works for the root agent and empty agents."
      },
      {
        "title": "2. Architecture & Design",
        "body": "Agents: Root (steering) agents orchestrate tasks and delegate to sub-agents. Read references/agents.md.\nFlows: Integrate legacy Dialogflow CX flows for deterministic business logic (auth, sequential validation). Read references/flows.md.\nVariables: Store and retrieve runtime conversation data. Read references/variables.md."
      },
      {
        "title": "3. Writing Agent Instructions",
        "body": "Agent instructions guide the model's behavior, persona, and tool/agent usage.\n\nSyntax References:\n\nVariables: {variable_name}\nTools: {@TOOL: tool_name}\nSub-Agents: {@AGENT: Agent Name}\n\n\nFor complex instructions or recommended XML formatting, read: references/instructions.md\nBest Practices: Start simple, use specific/structured instructions, flat parameter structures. Read references/best-practices.md."
      },
      {
        "title": "4. Tools & Callbacks",
        "body": "Tools: Connect your agent to external systems. Wrap complex APIs in Python tools to reduce context overhead. Read references/tools.md.\nCallbacks: Advanced Python hooks (before_agent_callback, after_model_callback, etc.) to control execution, validate states, or inject custom JSON payloads. Read references/callbacks.md."
      },
      {
        "title": "5. Guardrails & Safety",
        "body": "Guardrails: Protect against prompt attacks and enforce Responsible AI policies. Read references/guardrails.md."
      },
      {
        "title": "6. Agent Evaluation",
        "body": "Evaluation ensures agent performance via automated test cases.\n\nScenario Test Cases: AI-generated simulated user conversations based on a user goal.\nGolden Test Cases: Specific, ideal conversation paths for regression testing.\nFor detailed evaluation metrics, personas, and test case creation, read: references/evaluation.md"
      }
    ],
    "body": "CX Agent Studio\n\nCustomer Experience Agent Studio (CX Agent Studio) is a minimal code conversational agent builder built on the Agent Development Kit (ADK), representing the evolution of Dialogflow CX.\n\nCore Capabilities\nAI-Augmented Building: Generate agents using Gemini with a 1-2 sentence goal.\nBi-directional Streaming: Ultra-low latency voice interactions.\nAsynchronous Tool Calling: Maintains natural conversation flow during backend calls.\nQuick Actions\n1. Generating an Agent with AI\n\nTo generate an agent automatically:\n\nProvide a clear 1-2 sentence goal.\nOptionally provide up to 5 knowledge documents (under 8MB total) like FAQs or tool catalogs. Note: Only works for the root agent and empty agents.\n2. Architecture & Design\nAgents: Root (steering) agents orchestrate tasks and delegate to sub-agents. Read references/agents.md.\nFlows: Integrate legacy Dialogflow CX flows for deterministic business logic (auth, sequential validation). Read references/flows.md.\nVariables: Store and retrieve runtime conversation data. Read references/variables.md.\n3. Writing Agent Instructions\n\nAgent instructions guide the model's behavior, persona, and tool/agent usage.\n\nSyntax References:\nVariables: {variable_name}\nTools: {@TOOL: tool_name}\nSub-Agents: {@AGENT: Agent Name}\nFor complex instructions or recommended XML formatting, read: references/instructions.md\nBest Practices: Start simple, use specific/structured instructions, flat parameter structures. Read references/best-practices.md.\n4. Tools & Callbacks\nTools: Connect your agent to external systems. Wrap complex APIs in Python tools to reduce context overhead. Read references/tools.md.\nCallbacks: Advanced Python hooks (before_agent_callback, after_model_callback, etc.) to control execution, validate states, or inject custom JSON payloads. Read references/callbacks.md.\n5. Guardrails & Safety\nGuardrails: Protect against prompt attacks and enforce Responsible AI policies. Read references/guardrails.md.\n6. Agent Evaluation\n\nEvaluation ensures agent performance via automated test cases.\n\nScenario Test Cases: AI-generated simulated user conversations based on a user goal.\nGolden Test Cases: Specific, ideal conversation paths for regression testing.\nFor detailed evaluation metrics, personas, and test case creation, read: references/evaluation.md"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/Yash-Kavaiya/cx-agent-studio",
    "publisherUrl": "https://clawhub.ai/Yash-Kavaiya/cx-agent-studio",
    "owner": "Yash-Kavaiya",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/cx-agent-studio",
    "downloadUrl": "https://openagent3.xyz/downloads/cx-agent-studio",
    "agentUrl": "https://openagent3.xyz/skills/cx-agent-studio/agent",
    "manifestUrl": "https://openagent3.xyz/skills/cx-agent-studio/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/cx-agent-studio/agent.md"
  }
}