# Send Dialogflow Cx Nlu to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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.
```
### Upgrade existing

```text
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.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "dialogflow-cx-nlu",
    "name": "Dialogflow Cx Nlu",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/Yash-Kavaiya/dialogflow-cx-nlu",
    "canonicalUrl": "https://clawhub.ai/Yash-Kavaiya/dialogflow-cx-nlu",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/dialogflow-cx-nlu",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=dialogflow-cx-nlu",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "references/entities.md",
      "references/intents.md",
      "scripts/nlu.py",
      "SKILL.md"
    ],
    "downloadMode": "redirect",
    "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/dialogflow-cx-nlu"
    },
    "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."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/dialogflow-cx-nlu",
    "downloadUrl": "https://openagent3.xyz/downloads/dialogflow-cx-nlu",
    "agentUrl": "https://openagent3.xyz/skills/dialogflow-cx-nlu/agent",
    "manifestUrl": "https://openagent3.xyz/skills/dialogflow-cx-nlu/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/dialogflow-cx-nlu/agent.md"
  }
}
```
## Documentation

### 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
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: Yash-Kavaiya
- Version: 1.0.0
## Source health
- Status: healthy
- Source download looks usable.
- Yavira can redirect you to the upstream package for this source.
- Health scope: source
- Reason: direct_download_ok
- Checked at: 2026-04-30T16:55:25.780Z
- Expires at: 2026-05-07T16:55:25.780Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/dialogflow-cx-nlu)
- [Send to Agent page](https://openagent3.xyz/skills/dialogflow-cx-nlu/agent)
- [JSON manifest](https://openagent3.xyz/skills/dialogflow-cx-nlu/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/dialogflow-cx-nlu/agent.md)
- [Download page](https://openagent3.xyz/downloads/dialogflow-cx-nlu)