New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Looker Studio

by thatrebeccarae in thatrebeccarae/claude-marketing

Looker Studio (formerly Google Data Studio) expertise. An agent skill from thatrebeccarae/claude-marketing.

MITAuto-check: notesData & Analytics

Install Looker Studio

skills CLI
$ npx skills add thatrebeccarae/claude-marketing --skill looker-studio -a claude-code

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

GitHub CLI
$ gh skill install thatrebeccarae/claude-marketing looker-studio --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/thatrebeccarae/claude-marketing.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/looker-studio .claude/skills/looker-studio && 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/

Facts

Skill name
looker-studio
GitHub stars
161
Token cost
~3.6k tokens
SKILL.md length
1,046 words
Files
7 (incl. scripts)
Skills in repo
55
Repo updated
First seen
Licence
MIT

At a glance

Looker Studio (formerly Google Data Studio) expertise. An agent skill from thatrebeccarae/claude-marketing.

  • Works in 4 steps: CRM Performance Dashboard → Lifecycle Marketing Dashboard → Revenue Attribution Dashboard → …
  • The user asks about Looker Studio
  • SKILL.md covers Install, Core Capabilities, Dashboard Templates by Use Case and Key Visualization Guidelines, plus 5 more sections
  • Runs Python scripts from its folder; calls python and git

What it does

Looker Studio is an agent skill from thatrebeccarae/claude-marketing. Looker Studio (formerly Google Data Studio) expertise. Build dashboards, design data visualizations, connect data sources, and create marketing reports. Use when the user asks about Looker Studio, Data Studio, marketing dashboards, data visualization, report building, or connecting analytics data sources.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `EXAMPLES.md`, `REFERENCE.md` and `scripts/data_pipeline.py`).

It sits in Data & Analytics, covering Data visualization, Paid advertising and Marketing analytics. The repository describes itself as: A full marketing department for Claude Code. Skill packs for Klaviyo, Shopify, GA4, Looker Studio, paid media, and more. Audit, optimize, and report using natural language. The licence is MIT.

When your agent uses it

  • The user asks about Looker Studio
  • Marketing dashboards
  • Data visualization
  • Report building

Example prompts

  • “/looker-studio”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. CRM Performance Dashboard
  2. Lifecycle Marketing Dashboard
  3. Revenue Attribution Dashboard
  4. Campaign ROI Tracker

What it can do on your machine

Read from SKILL.md and the folder at commit a8a63ec. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Looker Studio loads about 3.6k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 1,046 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:399
    code** API credentials in scripts — use `.env` files
  • NoteMentions a .env fileSKILL.md:401
    - Add `.env` and credential files to `.gitignore`

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); the scripts in this folder are not scanned.

SKILL.md

The full file from thatrebeccarae/claude-marketing at commit a8a63ec, republished under its MIT licence (© thatrebeccarae). 1,046 words, ~3,595 tokens.

Download SKILL.mdSave it as .claude/skills/looker-studio/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
looker-studio
description
Looker Studio (formerly Google Data Studio) expertise. Build dashboards, design data visualizations, connect data sources, and create marketing reports. Use when the user asks about Looker Studio, Data Studio, marketing dashboards, data visualization, report building, or connecting analytics data sources.
license
MIT
origin
custom
author
Rebecca Rae Barton
author_url
https://github.com/thatrebeccarae
metadata.version
1.0.0
metadata.category
analytics
metadata.domain
looker-studio
metadata.updated
2026-02-23
metadata.tested
2026-03-17
metadata.tested_with
Claude Code v2.1

Looker Studio (Google Data Studio)

Expert-level guidance for Looker Studio — building dashboards, connecting data sources, designing visualizations, and creating automated marketing reports.

Install

bash
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/looker-studio ~/.claude/skills/

Core Capabilities

Dashboard Design
  • Layout and visual hierarchy best practices
  • Executive summary vs detailed operational dashboards
  • Mobile-responsive report design
  • Interactive controls: date range selectors, filters, drill-downs
  • Consistent styling with themes and color palettes
Data Sources & Connectors
  • Native (free): Google Analytics 4, Google Ads, Google Sheets, BigQuery, Search Console, YouTube Analytics
  • Partner connectors: Facebook Ads, Microsoft Ads, LinkedIn Ads, HubSpot, Salesforce, Shopify, Klaviyo, Semrush
  • Community connectors: Hundreds of third-party sources
  • Data blending: Join multiple sources on shared dimensions
  • Custom queries: BigQuery SQL, Google Sheets formulas as data sources
Calculated Fields & Metrics
  • Regex-based field creation (REGEXP_MATCH, REGEXP_REPLACE, REGEXP_EXTRACT)
  • CASE statements for custom groupings and bucketing
  • Date functions for period-over-period comparisons
  • Aggregation (SUM, AVG, COUNT_DISTINCT, MEDIAN)
  • Blended field calculations across sources
Formula Syntax Rules
  • No comments allowed — Looker Studio formulas do not support --, //, or /* */ style comments. Never include comments in formulas. Add context in the field description instead.
  • No inline flags in simple cases — prefer CONTAINS_TEXT(), LOWER(), or exact match over regex when possible
  • RE2 regex engine — supports (?i) for case-insensitive, but does NOT support lookaheads/lookbehinds
  • String escaping — use \\ for literal backslash in regex patterns within string literals (e.g., "\\s" for whitespace, "\\|" for literal pipe)
Report Automation
  • Scheduled email delivery (PDF snapshots)
  • Embedded reports in websites and portals
  • Template reports for client scaling
  • Data freshness monitoring

Dashboard Templates by Use Case

Marketing Performance Dashboard
Page 1: Executive Summary
|- KPI scorecards (Revenue, ROAS, CPA, Spend, Conversions)
|- Period-over-period trend lines
|- Channel performance table (sortable)
|- Budget pacing gauge chart

Page 2: Paid Media Deep-Dive
|- Google Ads performance (campaign breakdown)
|- Meta Ads performance (campaign breakdown)
|- Microsoft Ads performance
|- Cross-channel spend allocation (pie/donut)
|- CPA trend by channel (combo chart)

Page 3: SEO & Organic
|- Google Search Console: impressions, clicks, CTR, position
|- Top queries table
|- Page-level performance
|- Organic landing page engagement (from GA4)

Page 4: Email & CRM
|- Email campaign metrics (opens, clicks, revenue)
|- List growth trend
|- Flow/automation revenue
|- Subscriber engagement tiers

Page 5: Conversion Funnel
|- Funnel visualization (awareness -> consideration -> conversion)
|- Landing page performance table
|- Device breakdown
|- Geographic heatmap
E-commerce Dashboard
Page 1: Revenue Overview
|- Revenue, Orders, AOV, Conversion Rate scorecards
|- Revenue trend (daily/weekly)
|- Revenue by channel
|- Top products table

Page 2: Customer Acquisition
|- New vs returning customer revenue
|- CAC by channel
|- LTV:CAC ratio
|- First-order source attribution
SEO Dashboard
Page 1: Organic Performance
|- Total clicks, impressions, CTR, avg position
|- Trend lines (90-day)
|- Top 20 queries (with position change)
|- Top landing pages
|- Device + country breakdown

Key Visualization Guidelines

Data TypeBest ChartAvoid
KPI with comparisonScorecard with deltaPie chart
Trend over timeLine chart or area chartBar chart (if >7 periods)
Category comparisonHorizontal bar chart3D charts
Part of wholeStacked bar or donutPie with >6 slices
DistributionHistogram or heatmapScatter (if not correlation)
GeographicGeo map or heatmapTables for location data
FunnelCustom funnel (shapes)Bar chart
Table dataTable with heatmap barsUnsorted tables

Workflow: Build a Dashboard

When asked to create a Looker Studio dashboard:

  1. Define Purpose — Who views it? How often? What decisions does it inform?
  2. Identify Data Sources — Which platforms/connectors needed? Any blending?
  3. Design KPI Framework — Primary metrics, secondary metrics, diagnostic metrics
  4. Plan Layout — Page structure, visual hierarchy, interactivity
  5. Create Calculated Fields — Custom metrics, CASE groupings, regex transformations
  6. Build Visualizations — Chart types matched to data types, consistent formatting
  7. Add Controls — Date range, filters, drill-down parameters
  8. Style & Polish — Theme, colors, fonts, logos, white space
  9. Test & Validate — Cross-reference numbers with source platforms
  10. Set Up Delivery — Scheduled emails, sharing permissions, embedding

Calculated Field Recipes

Period-over-Period Comparison
CASE
  WHEN date_field >= DATE_DIFF(TODAY(), INTERVAL 30 DAY) THEN "Current Period"
  WHEN date_field >= DATE_DIFF(TODAY(), INTERVAL 60 DAY) THEN "Previous Period"
  ELSE "Older"
END
Channel Grouping (Custom)
CASE
  WHEN REGEXP_MATCH(source_medium, "google.*cpc|google.*paid") THEN "Google Ads"
  WHEN REGEXP_MATCH(source_medium, "facebook|fb|meta|instagram") THEN "Meta Ads"
  WHEN REGEXP_MATCH(source_medium, "bing.*cpc|microsoft") THEN "Microsoft Ads"
  WHEN REGEXP_MATCH(source_medium, "email|klaviyo|braze") THEN "Email"
  WHEN source_medium = "organic" THEN "Organic Search"
  WHEN REGEXP_MATCH(source_medium, "social") THEN "Organic Social"
  ELSE "Other"
END
ROAS Calculation
SUM(revenue) / SUM(cost)

How to Use This Skill

Ask me questions like:

  • "Build a marketing performance dashboard in Looker Studio"
  • "How do I connect Facebook Ads data to Looker Studio?"
  • "Create a calculated field for custom channel grouping"
  • "Design an executive summary page with KPI scorecards"
  • "How do I blend Google Ads and GA4 data?"
  • "Build an SEO dashboard with Search Console data"
  • "What's the best way to show period-over-period comparisons?"
  • "Help me set up automated email reports for my client"

For detailed Looker Studio function reference, connector setup guides, and advanced techniques, see REFERENCE.md.

DTC Dashboard Recipes

Dashboard templates designed for DTC e-commerce teams running Klaviyo + Shopify + GA4.

1. CRM Performance Dashboard

Track email and SMS marketing effectiveness with Klaviyo data.

Page 1: Email & SMS Overview
|- Scorecards: Total Revenue, Flow Revenue %, Campaign Revenue %, List Size
|- Revenue trend: flows vs campaigns over time (area chart)
|- Channel split: email vs SMS revenue (stacked bar)
|- Engagement tiers donut: Active / Warm / At-Risk / Lapsed

Page 2: Flow Performance
|- Flow revenue table (sortable by revenue, click rate)
|- Welcome Series funnel (sent -> opened -> clicked -> converted)
|- Abandoned Cart recovery rate trend
|- Flow-over-flow comparison (combo chart)

Page 3: Campaign Performance
|- Campaign table: send date, subject, open rate, click rate, revenue
|- A/B test results (winner highlighting)
|- Send time heatmap (day of week x hour)
|- Unsubscribe rate trend

Data source: Google Sheets (fed by data_pipeline.py --action sync-klaviyo)

2. Lifecycle Marketing Dashboard

Map flow performance across the customer journey.

Page 1: Journey Overview
|- Stage funnel: Prospect -> New Customer -> Active -> VIP -> At-Risk -> Lapsed
|- Revenue by stage (horizontal bar)
|- Stage transition rates

Page 2: Stage Deep-Dive
|- Filter control: select lifecycle stage
|- Flow performance for selected stage
|- Customer count trend per stage
|- Revenue per customer by stage (combo chart)
3. Revenue Attribution Dashboard

Reconcile Klaviyo-attributed revenue with Shopify actuals.

Page 1: Attribution Overview
|- Scorecards: Shopify Revenue, Klaviyo Attributed, Attribution %, Gap
|- Daily revenue: Shopify total vs Klaviyo attributed (dual axis)
|- Channel breakdown: Email, SMS, Flows, Campaigns (stacked bar)
|- Attribution gap trend line

Page 2: Channel Detail
|- Channel performance table (Klaviyo revenue per channel)
|- Shopify source breakdown (UTM-based)
|- Overlap analysis notes

Data source: Blended — Shopify Orders sheet + Klaviyo Revenue sheet

4. Campaign ROI Tracker

Campaign-level ROI with A/B test insights.

Page 1: Campaign Scorecard
|- Filter: date range, campaign type, channel
|- Campaign table with conditional formatting (green/red on benchmarks)
|- Revenue per recipient trend
|- Best-performing subject lines (top 10)

Page 2: Send Optimization
|- Send time analysis (heatmap: day x hour)
|- Audience size vs performance scatter
|- Frequency analysis: sends per subscriber per month

DTC Calculated Field Library

Copy-paste formulas for common DTC metrics in Looker Studio.

Customer Lifetime Value (LTV)
SUM(total_revenue) / COUNT_DISTINCT(customer_email)
Customer Acquisition Cost (CAC)
SUM(ad_spend) / COUNT_DISTINCT(CASE WHEN order_number = 1 THEN customer_email ELSE NULL END)
LTV:CAC Ratio
(SUM(total_revenue) / COUNT_DISTINCT(customer_email)) / (SUM(ad_spend) / COUNT_DISTINCT(new_customer_email))
Repeat Purchase Rate
COUNT_DISTINCT(CASE WHEN order_count > 1 THEN customer_email ELSE NULL END) / COUNT_DISTINCT(customer_email) * 100
Show full SKILL.md (425 more words)Show less
Flow Revenue Percentage
SUM(CASE WHEN source_type = "flow" THEN revenue ELSE 0 END) / SUM(revenue) * 100
Engagement Tier
CASE
  WHEN days_since_last_open <= 30 THEN "Active (0-30d)"
  WHEN days_since_last_open <= 90 THEN "Warm (31-90d)"
  WHEN days_since_last_open <= 180 THEN "At-Risk (91-180d)"
  ELSE "Lapsed (180d+)"
END
Revenue Per Recipient
SUM(revenue) / SUM(recipients)
Discount Impact
SUM(discount_amount) / SUM(gross_revenue) * 100

Data Source Setup

Connecting Klaviyo Data (Free Method)

Paid connectors (Supermetrics, $30-100/mo) work but aren't necessary. The free pattern:

  1. Run the data pipeline script to push Klaviyo data to Google Sheets:
    bash
    python scripts/data_pipeline.py --action sync-klaviyo --sheet-id YOUR_SHEET_ID
  2. In Looker Studio, add data source > Google Sheets > select the spreadsheet
  3. Set date field type to Date in the data source config
  4. Schedule sync — run the pipeline daily via cron or n8n
Connecting Shopify Data (Free Method)
  1. Push order data to Sheets:
    bash
    python scripts/data_pipeline.py --action sync-shopify --sheet-id YOUR_SHEET_ID --days 30
  2. Connect the Sheet in Looker Studio
  3. Blend with Klaviyo sheet on Date dimension for attribution view
Connecting GA4 Data (Native — Free)
  1. In Looker Studio, add data source > Google Analytics > select your GA4 property
  2. No intermediary needed — native connector is comprehensive and free
Creating Pre-Formatted Sheets
bash
# Create a sheet with correct headers for a CRM dashboard
python scripts/data_pipeline.py --action create-sheet --template crm-dashboard

# See all available templates
python scripts/data_pipeline.py --action list-templates

Analysis Examples

For complete dashboard build walkthroughs and use cases, see EXAMPLES.md.

Scripts

The skill includes a data pipeline script for pushing data to Google Sheets:

Sync Klaviyo Data
bash
python scripts/data_pipeline.py --action sync-klaviyo --sheet-id SPREADSHEET_ID
Sync Shopify Orders
bash
python scripts/data_pipeline.py --action sync-shopify --sheet-id SPREADSHEET_ID --days 30
Create Dashboard Sheet
bash
python scripts/data_pipeline.py --action create-sheet --template crm-dashboard

Troubleshooting

Data not refreshing: Google Sheets data in Looker Studio caches for ~15 minutes. Force refresh with the "Refresh data" button in Looker Studio, or set the data source cache to 1 minute in report settings.

Calculated field errors: Common causes:

  • Comments in formulas — Looker Studio does NOT support --, //, or /* */ comments. Never include comments in calculated field formulas. Use the field description for documentation instead.
  • Type mismatches — Ensure date fields are typed as Date (not Text) in the data source config. Use CAST() to convert between types.
  • Regex escaping — Patterns are inside string literals, so backslashes need double-escaping (e.g., "\\s" for whitespace, "\\|" for literal pipe).

Blending shows nulls: Left outer join means unmatched rows from the right source show null. Ensure join keys match exactly (case-sensitive, same date format).

Sheets row limit: Google Sheets has a 10M cell limit. For large datasets, aggregate before writing (daily summaries instead of per-event data), or use BigQuery instead.

Service account permission errors: The service account email must be shared on the target Google Sheet with Editor access. Check IAM permissions if Drive API calls fail.

Security & Privacy

  • Never hardcode API credentials in scripts — use .env files
  • Store service account JSON outside version control
  • Add .env and credential files to .gitignore
  • The data pipeline writes to Google Sheets you control — data stays in your Google Workspace
  • Pipeline scripts are read-only against Klaviyo and Shopify APIs
  • Use least-privilege API scopes (read-only keys)

© thatrebeccarae, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts) in skills/looker-studio of thatrebeccarae/claude-marketing.

  • SKILL.md
  • .env.example
  • EXAMPLES.md
  • LICENSE
  • REFERENCE.md
  • requirements.txt
  • scripts/data_pipeline.py

Open the folder on GitHubat commit a8a63ec

Compare with similar skills

Looker Studio 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.

Looker Studio compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Looker Studio this skillthatrebeccarae/claude-marketing161—~3.6kAutomated safety check: NotesMIT
Meridian Result Visualizationgoogle/meridian1.6k—~1.3kAutomated safety check: PassApache-2.0
Meridian Budget Optimizationgoogle/meridian1.6k—~1.1kAutomated safety check: PassApache-2.0
Soku CLIAbout-Intelligence/soku-cli305—~2.4kAutomated safety check: PassMIT
Analytics Trackingfreekmurze/dotfiles1k12 repos~2kAutomated safety check: PassNone
Google Adsarnabbagxd/Brand-building-skills729—~3.1kAutomated safety check: PassMIT

Similar skills

  • Meridian Result Visualization

    google/meridian

    Official

    Loads a saved Meridian MMM model and produces an HTML results summary, with optional health checks and approval checkpoints at each step.

    1.6k GitHub stars~1.3k tokensUpdated today
    Data & AnalyticsAuto-check passed

  • Meridian Budget Optimization

    google/meridian

    Official

    Reopens a fitted Meridian MMM from a saved file and runs budget allocation scenarios, producing an HTML report and a Python script that repeats the run.

    1.6k GitHub stars~1.1k tokensUpdated today
    Marketing & SEOAuto-check passed

  • Soku CLI

    About-Intelligence/soku-cli

    Guides an agent through the soku command line tool for ads, GA4 and PostHog data reads, ads writes, SEO hosting, automations, files and skill management.

    305 GitHub stars~2.4k tokensUpdated today
    Marketing & SEOAuto-check passed

  • Analytics Tracking

    freekmurze/dotfiles

    When the user wants to set up, improve, or audit analytics tracking and measurement.

    1k GitHub starsUsed in 12 repos~2k tokens
    Data & AnalyticsAuto-check passed

  • Google Ads

    arnabbagxd/Brand-building-skills

    Plan, build, and optimize Google Ads campaigns — Search, Shopping, Performance Max, Display, and YouTube — including keyword research, match types, bidding strategy, Quality Score, ad extensions…

    729 GitHub stars~3.1k tokensUpdated 3 mo ago
    Marketing & SEOAuto-check passed

  • Analytics Tracking

    kostja94/marketing-skills

    When the user wants to set up, audit, or optimize analytics tracking (GA4, events, conversions).

    1k GitHub stars~1.5k tokensUpdated 4 days ago
    Data & AnalyticsAuto-check passed

More from thatrebeccarae/claude-marketing

All 55 skills in this repo

  • Google Analytics

    thatrebeccarae/claude-marketing

    Analyze Google Analytics data, review website performance metrics, identify traffic patterns, and suggest data-driven improvements.

    161 GitHub starsUsed in 3 repos~1.3k tokens
    Auto-check: notes

  • Content Creator

    thatrebeccarae/claude-marketing

    Comprehensive content marketing toolkit with brand voice analysis, SEO optimization scripts, content frameworks, social media strategy, and content calendar planning.

    161 GitHub stars~1.1k tokensUpdated 4 mo ago
    Auto-check passed

  • Klaviyo Analyst

    thatrebeccarae/claude-marketing

    Klaviyo marketing operations and analyst expertise. An agent skill from thatrebeccarae/claude-marketing.

    161 GitHub stars~5k tokensUpdated 4 mo ago
    Auto-check: notes

  • Klaviyo Developer

    thatrebeccarae/claude-marketing

    Klaviyo API and developer integration expertise. An agent skill from thatrebeccarae/claude-marketing.

    161 GitHub stars~4.9k tokensUpdated 4 mo ago
    Auto-check: notes

  • Shopify

    thatrebeccarae/claude-marketing

    Shopify e-commerce platform marketing expertise. An agent skill from thatrebeccarae/claude-marketing.

    161 GitHub stars~2.4k tokensUpdated 4 mo ago
    Auto-check: notes

  • Ab Testing Framework

    thatrebeccarae/claude-marketing

    A/B and multivariate testing methodology. An agent skill from thatrebeccarae/claude-marketing.

    161 GitHub stars~1.3k tokensUpdated 4 mo ago
    Auto-check passed

Categories

Questions about Looker Studio

What does Looker Studio do?

Looker Studio (formerly Google Data Studio) expertise. An agent skill from thatrebeccarae/claude-marketing. Looker Studio is an agent skill from thatrebeccarae/claude-marketing. Looker Studio (formerly Google Data Studio) expertise.

When should I use Looker Studio?

Looker Studio fits situations like: the user asks about Looker Studio; marketing dashboards; data visualization; report building.

How do I install Looker Studio in Claude Code?

Run `npx skills add thatrebeccarae/claude-marketing --skill looker-studio -a claude-code`. Or copy the skill folder (skills/looker-studio in thatrebeccarae/claude-marketing) into .claude/skills/looker-studio in your project. Claude Code loads it when a task matches its description.

How do I install Looker Studio in Codex?

Run `npx skills add thatrebeccarae/claude-marketing --skill looker-studio -a codex`. Or copy the skill folder (skills/looker-studio in thatrebeccarae/claude-marketing) into .agents/skills/looker-studio in your project. Codex loads it when a task matches its description.

Can I use Looker Studio 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 thatrebeccarae/claude-marketing --skill looker-studio -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/looker-studio, .gemini/skills/looker-studio, .github/skills/looker-studio and .opencode/skills/looker-studio in your project.

What does Looker Studio need to run?

Going by SKILL.md and its folder, Looker Studio needs Python for the scripts in its folder and the command-line tools its instructions call (python and git). Our summary lists: Python 3.

Does Looker Studio access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Looker Studio safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Looker Studio use?

Looker Studio is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Looker Studio use?

About 3.6k tokens (SKILL.md is roughly 14k 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 Looker Studio?

Skills that share tags, products or a category with Looker Studio: Meridian Result Visualization (google/meridian, 1.6k stars), Meridian Budget Optimization (google/meridian, 1.6k stars), Soku CLI (About-Intelligence/soku-cli, 305 stars) and Analytics Tracking (freekmurze/dotfiles, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Looker Studio?

thatrebeccarae (a GitHub user) maintains it in thatrebeccarae/claude-marketing, which has 161 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on May 14, 2026.

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