An AI agent skill that integrates with the Mingri DMP API to build, expand, and map precise target audiences using six different advanced selection rules.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dmp-segment
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 dmp-segment using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Mingri DMP Audience Selection skill is an enterprise-grade digital marketing solution built for the Openclaw Skills ecosystem. By interfacing directly with the Mingri DMP Open Platform API, this skill empowers marketing and analytics agents to bypass manual visual interfaces and generate hyper-targeted customer segments directly through conversational inputs.
The skill supports six specialized audience selection pipelines: behavioral tag combinations, ad engagement tracking (impressions and clicks), LBS geographical perimeters, mobile app installation matrices, lookalike audience matching, and TV-to-Mobile cross-screen mapping. Incorporating a progressive design philosophy, the skill automatically resolves dependency configurations, checks parameters, and ensures structural logical consistency prior to hitting remote APIs.
Prior to using this skill, secure an API Access Key and Secret Key from the Mingri Data support team. Apply using one of the following methods:
[email protected] with the subject 【明日DMP API开通申请】 detailing your business name and specific target use cases.Set up the audience engine alongside its primary secure auth module and history logging dependencies. Run the following commands within your CLI tool environment:
# Install the main audience selection script catalog
openclaw skills install mingri-dmp-audience-targeter
# Install the authentication agent (Required dependency)
openclaw skills install mingdata-dmp-auth
# Install the task logging agent (Highly recommended dependency)
openclaw skills install skill-logger
On initial activation, the underlying Openclaw Skills core will prompt you to input your authorized credentials. These keys are stored locally and kept secure at ~/.mingdata_dmp_credentials:
Access Key: AK-xxxxxxxxxxxxxxxx
Secret Key: SK-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Each audience selection type maps directly to a specified analytical JSON target payload. Below are the key structure schemas handled automatically by the agent.
APP Dimension)| Parameter | Type | Required | Description | Example / Values |
|---|---|---|---|---|
name |
String | Yes | Unique naming descriptor of the segment. | "ecommerce_active_users" |
trackType |
String | Yes | Underlying device tracker target. | "MOBILE", "PC", "OTT" |
idTypes |
Array | Yes | Target tracking identity hash lists. | ["MD5_IMEI", "MD5_OAID"] |
data.dimension |
String | Yes | Segment dimension constraint key. | Must be set to "APP" |
data.type |
Integer | Yes | Underlying targeting analytical criteria. | 0 (Active user), 1 (Installed app) |
data.packageNames |
Array | Yes | Listing of distinct targeted application package IDs. | ["com.taobao.taobao", "com.tmall.wireless"] (Min 4 package IDs) |
LBS Dimension)| Parameter | Type | Required | Description | Constraints |
|---|---|---|---|---|
name |
String | Yes | Name of segment | Max 50 characters |
drawMode |
String | Yes | Geo boundary selection methodology. | "batch" (circle), "manual" (polygon) |
dataOrigin |
String | Yes | Tracking target location origin parameter. | "recentArrive", "homeAddress", "workAddress" |
radius |
Integer | Yes | Circle expansion perimeter scope (meters). | Integer value between 150 and 6000 |
timeRange |
String | Yes | Custom hourly range boundaries. | Format: "YYYY-MM-DD HH" |
Task details logged via the logging skill are kept under ~/.skill-logger/task_history.json configured in this format:
{
"taskId": "audienceId_20260529090454",
"name": "Targeted Lookalike Segment",
"createdTime": "2026-05-29 09:04:54",
"configuration": {
"expandType": 0,
"confidenceMin": 0.5,
"confidenceMax": 0.9
}
}
regionId dictionaries, maintaining precise lookups with static fallback structures.mingdata-dmp-auth) to keep credentials protected.Loading
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