Programmatically manage conversation flows and pages within Google Dialogflow CX using the v3beta1 REST API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dialogflow-cx-flows
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install dialogflow-cx-flows using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Dialogflow CX Flows?
Dialogflow CX Flows is a specialized technical integration designed for developers who need to manage complex conversation structures within Google Dialogflow CX agents. By leveraging the v3beta1 REST API, this skill allows for the programmatic creation, organization, and orchestration of conversation paths and states. It is particularly useful for teams building sophisticated virtual agents that require dynamic updates or automated deployment pipelines.
As part of the wider ecosystem of Openclaw Skills, this tool simplifies the interaction with regional Google Cloud endpoints, enabling precise control over how users move through an agent's logic. It bridges the gap between manual console configuration and automated agent lifecycle management.
Dialogflow CX Flows Use Cases
- Automating the creation of multi-step conversation flows for enterprise virtual assistants.
- Programmatically managing page-level state transitions and entry fulfillments.
- Implementing CI/CD pipelines for conversational AI by versioning flows and pages.
- Bulk auditing or updating of transition routes across complex agent architectures.
How Dialogflow CX Flows Works
- The skill authenticates with Google Cloud Platform using either the gcloud CLI or a dedicated Service Account.
- It establishes a connection to the Dialogflow CX v3beta1 API using the appropriate regional endpoint.
- Developers use REST methods (GET, POST) to interact with specific project, location, and agent resources.
- Flows are created to define broad conversation paths, which then house individual Pages representing specific interaction states.
- Transition routes are defined to manage the logic and conditions required to move the conversation from one state to another.
Dialogflow CX Flows Setup
To start using this skill, ensure the Dialogflow CX API is enabled in your Google Cloud project. Authenticate using the gcloud CLI:
gcloud auth application-default login
TOKEN=$(gcloud auth print-access-token)
For automated environments, export your service account credentials:
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account.json"
TOKEN=$(gcloud auth application-default print-access-token)
You can then utilize the provided Python CLI wrapper to manage your resources:
python scripts/flows.py list-flows --agent AGENT_NAME
Dialogflow CX Flows Data Schema & Taxonomy
The skill organizes Dialogflow CX resources into a hierarchical structure as follows:
| Resource | Level | Function |
|---|---|---|
| Flows | High-level | Groups related conversation paths (e.g., Support, Sales). |
| Pages | State-level | Represents a single step or interaction point in a flow. |
| Transition Routes | Logic | Determines the next destination based on intents or conditions. |
| Versions | Snapshots | Stores immutable copies of flows for safe deployment and rollbacks. |
Dialogflow CX Flows Advanced Features
- Support for v3beta1 regional endpoints to ensure data residency and lower latency.
- Integrated Python CLI script for rapid management of flows and pages without writing raw curl commands.
- Management of entry fulfillments for delivering specific messages when a user hits a new state.
- Seamless integration with other Openclaw Skills to build comprehensive AI agent management workflows.
SKILL.md
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