Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Supermetrics
Official Supermetrics skill. Query marketing data from 100+ platforms including Google Analytics, Meta Ads, Google Ads, and LinkedIn. Requires API key.
skill openclawclawhub Free
Official Supermetrics skill. Query marketing data from 100+ platforms including Google Analytics, Meta Ads, Google Ads, and LinkedIn. Requires API key.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- supermetrics.py, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- 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.
New install
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
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- bartschneider
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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, )
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: IDPlatformFAMeta Ads (Facebook)AWGoogle AdsGAWAGoogle AnalyticsGA4Google Analytics 4LILinkedIn AdsACMicrosoft 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: IANA timezone (e.g., "America/New_York") Filter operators: ==, != - equals, not equals >, >=, <, <= - comparisons =@, !@ - contains, does not contain =~, !~ - regex match
get_results(schedule_id)
Retrieve query results. result = get_results(schedule_id) for row in result['data']['data']: print(row)
get_today()
Get current UTC date for date calculations. result = get_today() print(result['data']['date']) # "2026-02-03"
search(query)
Search across Supermetrics resources for guidance and suggestions. result = search("facebook ads metrics") print(result['data'])
health()
Check Supermetrics server health status. result = health() print(result['data']['status']) # "healthy"
Workflow Example
from supermetrics import ( discover_accounts, discover_fields, query_data, get_results, ) # 1. Find accounts accounts = discover_accounts("GAWA") account_id = accounts['data']['accounts'][0]['account_id'] # 2. See available fields fields = discover_fields("GAWA", "metric") print([f['id'] for f in fields['data']['metrics'][:5]]) # 3. Query data query = query_data( ds_id="GAWA", ds_accounts=account_id, fields=["date", "sessions", "users", "pageviews"], date_range_type="last_7_days" ) # 4. Get results data = get_results(query['data']['schedule_id']) for row in data['data']['data']: print(row)
Response Format
All functions return: {"success": True, "data": {...}} # Success {"success": False, "error": "..."} # Error
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
1 Docs1 Scripts
- SKILL.md
- supermetrics.py