Agent skill

Metabase Analytics Guide

by wentorai in wentorai/research-plugins

Guide to Metabase for open-source research data analytics and dashboards

MITAuto-check passedDatabases

Install Metabase Analytics Guide

skills CLI

$ npx skills add wentorai/research-plugins --skill metabase-analytics-guide -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install wentorai/research-plugins metabase-analytics-guide --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analysis/dataviz/metabase-analytics-guide .claude/skills/metabase-analytics-guide && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "metabase-analytics-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz/metabase-analytics-guide into .claude/skills/metabase-analytics-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metabase-analytics-guide", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz/metabase-analytics-guide

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add wentorai/research-plugins --skill metabase-analytics-guide -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install wentorai/research-plugins metabase-analytics-guide --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analysis/dataviz/metabase-analytics-guide .agents/skills/metabase-analytics-guide && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "metabase-analytics-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz/metabase-analytics-guide into .agents/skills/metabase-analytics-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metabase-analytics-guide", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wentorai/research-plugins --skill metabase-analytics-guide -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install wentorai/research-plugins metabase-analytics-guide --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analysis/dataviz/metabase-analytics-guide .cursor/skills/metabase-analytics-guide && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "metabase-analytics-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz/metabase-analytics-guide into .cursor/skills/metabase-analytics-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metabase-analytics-guide", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/wentorai/research-plugins.git --path skills/analysis/dataviz/metabase-analytics-guide

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add wentorai/research-plugins --skill metabase-analytics-guide -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install wentorai/research-plugins metabase-analytics-guide --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analysis/dataviz/metabase-analytics-guide .gemini/skills/metabase-analytics-guide && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "metabase-analytics-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz/metabase-analytics-guide into .gemini/skills/metabase-analytics-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metabase-analytics-guide", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install wentorai/research-plugins metabase-analytics-guide

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add wentorai/research-plugins --skill metabase-analytics-guide -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analysis/dataviz/metabase-analytics-guide .github/skills/metabase-analytics-guide && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "metabase-analytics-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz/metabase-analytics-guide into .github/skills/metabase-analytics-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metabase-analytics-guide", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wentorai/research-plugins --skill metabase-analytics-guide -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install wentorai/research-plugins metabase-analytics-guide --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analysis/dataviz/metabase-analytics-guide .opencode/skills/metabase-analytics-guide && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "metabase-analytics-guide" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/analysis/dataviz/metabase-analytics-guide into .opencode/skills/metabase-analytics-guide/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metabase-analytics-guide", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: metabase-analytics-guide
GitHub stars: 298
Used in: 1 other repo
Token cost: ~2.1k tokens
SKILL.md length: 527 words
Files: 1
Skills in repo: 405
Repo updated: Jun 19, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Guide to Metabase for open-source research data analytics and dashboards

Works in 4 steps: Create a dashboard with key metrics… → Click the sharing icon and select… → Configure email delivery schedule (e.g.,… → …
Tasks that involve Data analysis
SKILL.md covers Overview, Installation and Setup, Connecting Research Databases and Building Research Dashboards, plus 4 more sections
Calls docker; needs POSTGRES_PASSWORD and METABASE_EMBEDDING_SECRET

What it does

Metabase Analytics Guide is an agent skill from wentorai/research-plugins. Guide to Metabase for open-source research data analytics and dashboards

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Databases, covering Data analysis and Data visualization. It works with SQL and PostgreSQL. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.

When your agent uses it

Tasks that involve Data analysis
Tasks that involve Data visualization

Example prompts

“/metabase-analytics-guide”

Requirements

Python 3
Docker
A credential in METABASE_EMBEDDING_SECRET

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Create a dashboard with key metrics (experiment counts, quality scores, etc.)
Click the sharing icon and select "Subscriptions"
Configure email delivery schedule (e.g., weekly Monday 9 AM)
Add recipients from the research team

What it can do on your machine

Read from SKILL.md and the folder at commit bf44b3c. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- docker
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- metabase.com
- github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- POSTGRES_PASSWORD
- METABASE_EMBEDDING_SECRET
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Metabase Analytics Guide loads about 2.1k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 527 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~24
When it runs · the whole SKILL.md, loaded when a task matches: ~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 527 words, ~2,093 tokens.

Download SKILL.mdSave it as .claude/skills/metabase-analytics-guide/SKILL.md (or your agent's skills folder).

name: metabase-analytics-guide
description: Guide to Metabase for open-source research data analytics and dashboards

Metabase Analytics Guide

Overview

Metabase is a powerful open-source business intelligence and analytics tool with over 46K stars on GitHub. It allows researchers and data analysts to explore data, create visualizations, and build dashboards without writing SQL, though it fully supports custom SQL queries for advanced users. Metabase connects to a wide variety of databases and provides a browser-based interface that makes data exploration accessible to team members regardless of their technical background.

For academic research groups and labs, Metabase serves as an excellent self-hosted platform for tracking experimental data, monitoring research progress, and creating shared dashboards for collaborative projects. Its ability to connect directly to PostgreSQL, MySQL, SQLite, and many other databases means it can be pointed at existing research data stores without data migration. Researchers can set up automated reports, scheduled email digests, and shared dashboards that keep the entire team informed.

Metabase's no-code query builder is particularly valuable in interdisciplinary research teams where not all members are comfortable with SQL. Principal investigators, graduate students, and collaborators can all explore the same datasets through an intuitive visual interface while power users retain full SQL access for complex analyses.

Installation and Setup

Docker Deployment (Recommended)

bash

# Quick start with Docker
docker run -d -p 3000:3000 \
  --name metabase \
  -v metabase-data:/metabase-data \
  -e MB_DB_TYPE=postgres \
  -e MB_DB_DBNAME=metabase_app \
  -e MB_DB_PORT=5432 \
  -e MB_DB_USER=$METABASE_DB_USER \
  -e MB_DB_PASS=$METABASE_DB_PASS \
  -e MB_DB_HOST=db-host \
  metabase/metabase

# Access at http://localhost:3000

Docker Compose for Research Lab Setup

yaml

version: "3.9"
services:
  metabase:
    image: metabase/metabase:latest
    container_name: research-metabase
    ports:
      - "3000:3000"
    environment:
      MB_DB_TYPE: postgres
      MB_DB_DBNAME: metabase_app
      MB_DB_PORT: 5432
      MB_DB_USER: ${METABASE_DB_USER}
      MB_DB_PASS: ${METABASE_DB_PASS}
      MB_DB_HOST: postgres
      MB_SITE_NAME: "Research Lab Analytics"
    depends_on:
      - postgres
    volumes:
      - metabase-data:/metabase-data

  postgres:
    image: postgres:16
    environment:
      POSTGRES_DB: metabase_app
      POSTGRES_USER: ${POSTGRES_USER}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
    volumes:
      - pg-data:/var/lib/postgresql/data

volumes:
  metabase-data:
  pg-data:

Connecting Research Databases

Metabase supports connecting to many database types commonly used in research environments.

Supported Data Sources for Research

PostgreSQL - Primary research databases, experimental records
MySQL/MariaDB - Legacy lab information management systems
SQLite - Local experiment databases, embedded analytics
BigQuery - Large-scale genomic or observational datasets
MongoDB - Semi-structured research data, document stores
CSV uploads - Quick ad-hoc analysis of exported data

Database Connection Configuration

Navigate to Admin > Databases > Add Database in the Metabase UI. For a typical research PostgreSQL database:

Display name: Lab Experiment Database
Host: research-db.lab.university.edu
Port: 5432
Database name: experiments
Username: (use environment variable $DB_USER)
Password: (use environment variable $DB_PASS)

Enable "Auto-run queries" and set "Scan frequency" to daily for research databases that update regularly.

Building Research Dashboards

Experiment Tracking Dashboard

A common research use case is tracking experiment progress and results. Here is an example SQL query for monitoring experiment completion rates:

sql

-- Experiment completion overview
SELECT
    e.project_name,
    COUNT(*) AS total_experiments,
    COUNT(CASE WHEN e.status = 'completed' THEN 1 END) AS completed,
    COUNT(CASE WHEN e.status = 'in_progress' THEN 1 END) AS in_progress,
    COUNT(CASE WHEN e.status = 'failed' THEN 1 END) AS failed,
    ROUND(
        COUNT(CASE WHEN e.status = 'completed' THEN 1 END)::NUMERIC /
        NULLIF(COUNT(*), 0) * 100, 1
    ) AS completion_rate
FROM experiments e
WHERE e.created_at >= CURRENT_DATE - INTERVAL '90 days'
GROUP BY e.project_name
ORDER BY completion_rate DESC;

Show full SKILL.md (205 more words)Show less

Sample Analysis Summary

sql

-- Sample processing metrics
SELECT
    DATE_TRUNC('week', s.processed_at) AS week,
    s.sample_type,
    COUNT(*) AS samples_processed,
    AVG(s.quality_score) AS avg_quality,
    PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY s.processing_time)
        AS median_processing_hours
FROM samples s
WHERE s.processed_at >= CURRENT_DATE - INTERVAL '6 months'
GROUP BY DATE_TRUNC('week', s.processed_at), s.sample_type
ORDER BY week DESC, sample_type;

Publication Pipeline Tracker

sql

-- Track manuscript progress across the lab
SELECT
    p.title,
    p.lead_author,
    p.status,
    p.target_journal,
    p.submission_date,
    CASE
        WHEN p.status = 'draft' THEN 1
        WHEN p.status = 'internal_review' THEN 2
        WHEN p.status = 'submitted' THEN 3
        WHEN p.status = 'revision' THEN 4
        WHEN p.status = 'accepted' THEN 5
        WHEN p.status = 'published' THEN 6
    END AS stage_number,
    CURRENT_DATE - p.last_updated AS days_since_update
FROM publications p
WHERE p.year >= EXTRACT(YEAR FROM CURRENT_DATE) - 1
ORDER BY stage_number, p.last_updated;

Automated Reporting and Alerts

Metabase supports scheduled reports and conditional alerts, which are useful for research operations.

Setting Up Scheduled Reports

Create a dashboard with key metrics (experiment counts, quality scores, etc.)
Click the sharing icon and select "Subscriptions"
Configure email delivery schedule (e.g., weekly Monday 9 AM)
Add recipients from the research team

Alert Configuration

Question: "Failed experiments in last 7 days"
Alert when: Results are above threshold (e.g., > 5 failures)
Check frequency: Daily
Notify: Lab manager email, Slack channel

This allows labs to automatically detect quality issues in experimental workflows.

Embedding Metabase in Research Applications

Metabase supports embedding dashboards into other web applications via iframes or its embedding SDK.

html

<!-- Embed a dashboard in a lab portal -->
<iframe
  src="http://metabase.lab.internal/public/dashboard/abc123-def456"
  frameborder="0"
  width="100%"
  height="800"
  allowtransparency
></iframe>

For authenticated embedding, use signed JWTs to control access:

python

import jwt
import time

embedding_secret = os.environ["METABASE_EMBEDDING_SECRET"]

payload = {
    "resource": {"dashboard": 42},
    "params": {"project_id": 7},
    "exp": int(time.time()) + 600  # 10-minute expiry
}

signed = jwt.encode(payload, embedding_secret, algorithm="HS256")
embed_url = f"http://metabase.lab.internal/embed/dashboard/{signed}"

Best Practices for Research Teams

Organize by project: Create separate Metabase collections for each research project or grant
Use saved questions: Standardize common analyses as saved questions that team members can reuse
Document queries: Add descriptions to all saved questions explaining the methodology and assumptions
Access control: Use Metabase groups to control which team members can view sensitive data
Regular backups: Schedule database backups, especially for the Metabase application database
Version tracking: Export dashboard definitions as JSON for version control alongside research code

References

Metabase official documentation: https://www.metabase.com/docs
Metabase GitHub repository: https://github.com/metabase/metabase
Metabase embedding documentation: https://www.metabase.com/docs/latest/embedding
Metabase API reference: https://www.metabase.com/docs/latest/api

Files

Just SKILL.md in skills/analysis/dataviz/metabase-analytics-guide of wentorai/research-plugins.

Open the folder on GitHubat commit bf44b3c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.

brycewang-stanford/Auto-Empirical-Research-Skillsskills/43-wentorai-research-plugins/skills/analysis/dataviz/metabase-analytics-guide

Compare with similar skills

Metabase Analytics Guide next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Metabase Analytics Guide compared with similar skills
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Semantic Analystsidequery/sidemantic	129	—	~982	Automated safety check: Pass	AGPL-3.0	yesterday
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VisualizationFrankChen021/datastoria	327	—	~1.2k	Automated safety check: Pass	Custom licence	2 mo ago
Tableau Dashboard CreatorKilo-Org/kilo-marketplace	190	—	~3.8k	Automated safety check: Notes	MIT	10 days ago

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Questions about Metabase Analytics Guide

What does Metabase Analytics Guide do?

Guide to Metabase for open-source research data analytics and dashboards. Metabase Analytics Guide is an agent skill from wentorai/research-plugins.

When should I use Metabase Analytics Guide?

Metabase Analytics Guide fits situations like: tasks that involve Data analysis; tasks that involve Data visualization.

How do I install Metabase Analytics Guide in Claude Code?

Run `npx skills add wentorai/research-plugins --skill metabase-analytics-guide -a claude-code`. Or copy the skill folder (skills/analysis/dataviz/metabase-analytics-guide in wentorai/research-plugins) into .claude/skills/metabase-analytics-guide in your project. Claude Code loads it when a task matches its description.

How do I install Metabase Analytics Guide in Codex?

Run `npx skills add wentorai/research-plugins --skill metabase-analytics-guide -a codex`. Or copy the skill folder (skills/analysis/dataviz/metabase-analytics-guide in wentorai/research-plugins) into .agents/skills/metabase-analytics-guide in your project. Codex loads it when a task matches its description.

Can I use Metabase Analytics Guide in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wentorai/research-plugins --skill metabase-analytics-guide -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/metabase-analytics-guide, .gemini/skills/metabase-analytics-guide, .github/skills/metabase-analytics-guide and .opencode/skills/metabase-analytics-guide in your project.

What does Metabase Analytics Guide need to run?

Going by SKILL.md and its folder, Metabase Analytics Guide needs the command-line tools its instructions call (docker) and credentials named POSTGRES_PASSWORD and METABASE_EMBEDDING_SECRET. Our summary lists: Python 3; Docker; A credential in METABASE_EMBEDDING_SECRET.

Does Metabase Analytics Guide access the network?

SKILL.md names 2 domains. As links in the text: metabase.com and github.com. This is read from the text; nothing was executed.

Is Metabase Analytics Guide safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Metabase Analytics Guide use?

Metabase Analytics Guide is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Metabase Analytics Guide use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Metabase Analytics Guide?

Skills that share tags, products or a category with Metabase Analytics Guide: Postgres (sanjay3290/ai-skills, 431 stars), Semantic Analyst (sidequery/sidemantic, 129 stars), Analyzing Data (astronomer/agents, 451 stars) and Visualization (FrankChen021/datastoria, 327 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Metabase Analytics Guide?

wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.

Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Metabase Analytics Guide

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Metabase Analytics Guide

Overview

Installation and Setup

Docker Deployment (Recommended)

Docker Compose for Research Lab Setup

Connecting Research Databases

Supported Data Sources for Research

Database Connection Configuration

Building Research Dashboards

Experiment Tracking Dashboard

Sample Analysis Summary

Publication Pipeline Tracker

Automated Reporting and Alerts

Setting Up Scheduled Reports

Alert Configuration

Embedding Metabase in Research Applications

Best Practices for Research Teams

References

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from wentorai/research-plugins

Related

Questions about Metabase Analytics Guide