OpenClaw

supermetrics

Official Supermetrics skill. Query marketing data from 100+ platforms including Google Analytics, Meta Ads, Google Ads, and LinkedIn. Requires API key.

bartschneider0 来源安装数☆ 0 仓库 Starsv1.0.1

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install bartschneider/supermetrics-openclawd

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Supermetrics Marketing Data

Query marketing data from 100+ platforms including Google Analytics, Meta Ads, Google Ads, and LinkedIn.

Usage

Import the helper module:

from supermetrics import (
    discover_sources,
    discover_accounts,
    discover_fields,
    query_data,
    get_results,
    get_today,
    search,
    health,
)

Functions

discover_sources()

List all available marketing platforms.

result = discover_sources()
for src in result['data']['sources']:
    print(f"{src['id']}: {src['name']}")

discover_accounts(ds_id)

Get connected accounts for a data source.

Common data source IDs:

ID	Platform
FA	Meta Ads (Facebook)
AW	Google Ads
GAWA	Google Analytics
GA4	Google Analytics 4
LI	LinkedIn Ads
AC	Microsoft Advertising (Bing)

result = discover_accounts("GAWA")
for acc in result['data']['accounts']:
    print(f"{acc['account_id']}: {acc['account_name']}")

discover_fields(ds_id, field_type=None)

Get available metrics and dimensions.

# Get all fields
result = discover_fields("GAWA")

# Get only metrics
result = discover_fields("GAWA", "metric")

# Get only dimensions
result = discover_fields("GAWA", "dimension")

query_data(...)

Execute a marketing data query. Returns schedule_id for async retrieval.

result = query_data(
    ds_id="GAWA",
    ds_accounts="123456789",
    fields=["date", "sessions", "pageviews", "users"],
    date_range_type="last_7_days"
)
schedule_id = result['data']['schedule_id']

Parameters:

ds_id (required): Data source ID
ds_accounts (required): Account ID(s) from discover_accounts()
fields (required): Field ID(s) from discover_fields()
date_range_type: last_7_days, last_30_days, last_3_months, custom
start_date, end_date: For custom date range (YYYY-MM-DD)
filters: Filter expression (e.g., "country == United States")
timezone...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/bartschneider/supermetrics-openclawd
Version: 1.0.1
Commit: 5a61149b0a8ceb6f1297678ede47c5b5b772b104
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# Supermetrics Marketing Data

Query marketing data from 100+ platforms including Google Analytics, Meta Ads, Google Ads, and LinkedIn.

## Usage

Import the helper module:

```python
from supermetrics import (
    discover_sources,
    discover_accounts,
    discover_fields,
    query_data,
    get_results,
    get_today,
    search,
    health,
)
```

## Functions

### discover_sources()

List all available marketing platforms.

```python
result = discover_sources()
for src in result['data']['sources']:
    print(f"{src['id']}: {src['name']}")
```

### discover_accounts(ds_id)

Get connected accounts for a data source.

**Common data source IDs:**
| ID | Platform |
|----|----------|
| FA | Meta Ads (Facebook) |
| AW | Google Ads |
| GAWA | Google Analytics |
| GA4 | Google Analytics 4 |
| LI | LinkedIn Ads |
| AC | Microsoft Advertising (Bing) |

```python
result = discover_accounts("GAWA")
for acc in result['data']['accounts']:
    print(f"{acc['account_id']}: {acc['account_name']}")
```

### discover_fields(ds_id, field_type=None)

Get available metrics and dimensions.

```python
# Get all fields
result = discover_fields("GAWA")

# Get only metrics
result = discover_fields("GAWA", "metric")

# Get only dimensions
result = discover_fields("GAWA", "dimension")
```

### query_data(...)

Execute a marketing data query. Returns schedule_id for async retrieval.

```python
result = query_data(
    ds_id="GAWA",
    ds_accounts="123456789",
    fields=["date", "sessions", "pageviews", "users"],
    date_range_type="last_7_days"
)
schedule_id = result['data']['schedule_id']
```

**Parameters:**
- `ds_id` (required): Data source ID
- `ds_accounts` (required): Account ID(s) from discover_accounts()
- `fields` (required): Field ID(s) from discover_fields()
- `date_range_type`: `last_7_days`, `last_30_days`, `last_3_months`, `custom`
- `start_date`, `end_date`: For custom date range (YYYY-MM-DD)
- `filters`: Filter expression (e.g., `"country == United States"`)
- `timezone`...

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