A robust automation interface for managing Google Dialogflow CX chatbot agents via the v3beta1 REST API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dialogflow-cx-agents
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install dialogflow-cx-agents using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Dialogflow CX Agents skill provides a specialized bridge to the Google Dialogflow CX REST API, enabling developers to programmatically handle the lifecycle of conversational AI agents. By utilizing this Openclaw Skills integration, you can automate the management of top-level agent containers, which serve as the foundation for flows, intents, and entity types. This skill is particularly valuable for developers looking to scale their chatbot infrastructure across multiple Google Cloud projects and regions using the v3beta1 API specification.
Whether you are building complex multi-agent systems or managing a single enterprise bot, this tool simplifies the authentication and execution of standard CRUD operations. It ensures that your conversational AI deployments are consistent, reproducible, and easily integrated into broader DevOps workflows through standardized Openclaw Skills patterns.
To get started with this Openclaw Skills implementation, ensure the Dialogflow CX API is enabled in your Google Cloud Console. Authenticate using the gcloud CLI:
gcloud auth application-default login
TOKEN=$(gcloud auth print-access-token)
Alternatively, export your service account credentials:
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account.json"
You can then use the included Python script to list agents:
python scripts/agents.py list --project PROJECT_ID --location global
The skill manages data within the standard Google Cloud hierarchy. The primary resource is the Agent, which acts as the root for all other chatbot assets.
| Resource | Description | Key Metadata |
|---|---|---|
| Project | Parent GCP container | project_id |
| Location | Regional deployment zone | location_id (e.g., global) |
| Agent | Chatbot container | displayName, timeZone, defaultLanguageCode |
All responses are returned as structured JSON, making it easy to pipe data between different Openclaw Skills.
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