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Dialogflow Cx Nlu

Manage intents and entity types in Google Dialogflow CX via REST API. Use for creating, updating, and managing natural language understanding components. Sup...

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Manage intents and entity types in Google Dialogflow CX via REST API. Use for creating, updating, and managing natural language understanding components. Sup...

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: references/entities.md, references/intents.md, scripts/nlu.py, SKILL.md

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: Yash-Kavaiya
Source page: View original listing
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Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

Dialogflow CX NLU

Manage intents and entity types in Google Dialogflow CX via REST API for natural language understanding.

Prerequisites

Google Cloud project with Dialogflow CX API enabled Service account or OAuth credentials with Dialogflow API access gcloud CLI authenticated OR bearer token

Option 1: gcloud CLI (recommended)

gcloud auth application-default login TOKEN=$(gcloud auth print-access-token)

Option 2: Service Account

export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account.json" TOKEN=$(gcloud auth application-default print-access-token)

API Base URL

https://dialogflow.googleapis.com/v3beta1 Regional endpoints available: https://{region}-dialogflow.googleapis.com (e.g., us-central1, europe-west1)

List Intents

curl -X GET \ "https://dialogflow.googleapis.com/v3beta1/projects/${PROJECT_ID}/locations/${LOCATION}/agents/${AGENT_ID}/intents" \ -H "Authorization: Bearer ${TOKEN}"

Create Intent

curl -X POST \ "https://dialogflow.googleapis.com/v3beta1/projects/${PROJECT_ID}/locations/${LOCATION}/agents/${AGENT_ID}/intents" \ -H "Authorization: Bearer ${TOKEN}" \ -H "Content-Type: application/json" \ -d '{ "displayName": "Book Flight", "trainingPhrases": [ { "parts": [{"text": "I want to book a flight"}], "repeatCount": 1 } ] }'

List Entity Types

curl -X GET \ "https://dialogflow.googleapis.com/v3beta1/projects/${PROJECT_ID}/locations/${LOCATION}/agents/${AGENT_ID}/entityTypes" \ -H "Authorization: Bearer ${TOKEN}"

Create Entity Type

curl -X POST \ "https://dialogflow.googleapis.com/v3beta1/projects/${PROJECT_ID}/locations/${LOCATION}/agents/${AGENT_ID}/entityTypes" \ -H "Authorization: Bearer ${TOKEN}" \ -H "Content-Type: application/json" \ -d '{ "displayName": "Cities", "kind": "KIND_LIST", "entities": [ {"value": "New York"}, {"value": "Los Angeles"} ] }'

Key Resources

ResourceDescriptionIntentsClassify user utterances and extract parametersEntity TypesDefine structured data extraction patterns

Quick Reference

For detailed API reference: Intents: See references/intents.md Entity Types: See references/entities.md

Scripts

scripts/nlu.py — CLI wrapper for intents and entity types operations

Usage

python scripts/nlu.py list-intents --agent AGENT_NAME python scripts/nlu.py create-intent --agent AGENT_NAME --intent "Book Flight" --phrases "book a flight,I want to fly" python scripts/nlu.py list-entities --agent AGENT_NAME python scripts/nlu.py create-entity --agent AGENT_NAME --name "Cities" --values "New York,Los Angeles"

Tips

Use training phrases that cover various ways users might express the intent Entity types can be system (built-in) or custom Use KIND_MAP for entities with synonyms, KIND_LIST for simple lists

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Docs1 Scripts

SKILL.md Primary doc
references/entities.md Docs
references/intents.md Docs
scripts/nlu.py Scripts