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Agent skill

Analytics Interpretation

by MadAppGang in MadAppGang/claude-code

Interpret GA4 and GSC data with benchmarks, status indicators, and actionable insights

MITAuto-check passedData & Analytics

Install Analytics Interpretation

skills CLI
$ npx skills add MadAppGang/claude-code --skill analytics-interpretation -a claude-code

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

GitHub CLI
$ gh skill install MadAppGang/claude-code analytics-interpretation --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/MadAppGang/claude-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/seo/skills/analytics-interpretation .claude/skills/analytics-interpretation && 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
analytics-interpretation
GitHub stars
284
Used in
1 other repo
Token cost
~1.4k tokens
SKILL.md length
357 words
Files
1
Skills in repo
69
Repo updated
First seen
Licence
MIT

At a glance

Interpret GA4 and GSC data with benchmarks, status indicators, and actionable insights

  • Data & Analytics work in your project
  • SKILL.md covers When to Use, Metric Benchmarks, Interpreting Combined Signals and Score Calculation Methodology, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Analytics Interpretation is an agent skill from MadAppGang/claude-code. Interpret GA4 and GSC data with benchmarks, status indicators, and actionable insights

Its SKILL.md is about 1.4k 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 Data & Analytics. It works with Google Analytics. The repository describes itself as: claude code plugins marketplace. The licence is MIT.

When your agent uses it

  • Data & Analytics work in your project

Example prompts

  • “/analytics-interpretation”

What it can do on your machine

Read from SKILL.md and the folder at commit 6097ad4. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

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

  • Network

    No URLs in SKILL.md.

    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

Analytics Interpretation loads about 1.4k tokens when it runs. Until then it costs about 28 tokens; SKILL.md has 357 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~28
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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 MadAppGang/claude-code at commit 6097ad4, republished under its MIT licence (© MadAppGang). 357 words, ~1,440 tokens.

Download SKILL.mdSave it as .claude/skills/analytics-interpretation/SKILL.md (or your agent's skills folder).
name
analytics-interpretation
description
Interpret GA4 and GSC data with benchmarks, status indicators, and actionable insights
plugin
seo
updated
2026-01-20

plugin: seo updated: 2026-01-20

Analytics Interpretation

When to Use

  • Analyzing content performance reports
  • Understanding traffic patterns
  • Interpreting search console data
  • Making data-driven content decisions
  • Explaining metrics to stakeholders

Metric Benchmarks

Google Analytics 4 (GA4)
MetricGoodWarningPoorAction When Poor
Avg Time on Page>3 min1-3 min<1 minImprove content depth, add multimedia
Bounce Rate<40%40-70%>70%Add internal links, improve intro hook
Engagement Rate>60%30-60%<30%Review content quality, add CTAs
Scroll Depth>75%50-75%<50%Add visual breaks, improve structure
Pages/Session>2.51.5-2.5<1.5Improve internal linking
Google Search Console (GSC)
MetricGoodWarningPoorAction When Poor
CTR>5%2-5%<2%Improve title/meta description
Avg Position1-34-10>10Strengthen content, build links
Impressions TrendGrowingStableDecliningRefresh content, target new keywords
Mobile UsabilityPASS-FAILFix mobile issues immediately
Core Web VitalsGOODNEEDS_IMPROVEMENTPOOROptimize performance

Interpreting Combined Signals

Traffic Quality Matrix
                    High Engagement
                          │
           ┌──────────────┼──────────────┐
           │  HIDDEN GEM  │   STAR       │
           │  Low traffic │   High traffic│
           │  High quality│   High quality│
           │  → Promote   │   → Maintain  │
Low ───────┼──────────────┼──────────────┼─── High
Traffic    │              │              │   Traffic
           │  UNDERPERFORM│   LEAKY      │
           │  Low traffic │   High traffic│
           │  Low quality │   Low quality │
           │  → Rework    │   → Optimize  │
           └──────────────┼──────────────┘
                          │
                    Low Engagement
Search Intent Alignment
GSC SignalGA4 SignalInterpretation
High impressionsLow clicksTitle/meta mismatch with intent
High CTRHigh bounceContent doesn't deliver on promise
Low CTRHigh engagement (when clicked)Hidden gem, improve snippet
Growing impressionsStable clicksRanking improving, CTR opportunity

Score Calculation Methodology

Content Health Score (0-100)
health_score = (
    engagement_score × 0.30 +
    seo_score × 0.30 +
    ranking_score × 0.20 +
    trend_score × 0.20
)

Component Calculations:

engagement_score = normalize(
    time_on_page_score × 0.4 +
    bounce_rate_score × 0.3 +
    scroll_depth_score × 0.3
)

seo_score = normalize(
    ctr_score × 0.4 +
    position_score × 0.4 +
    impressions_growth × 0.2
)

ranking_score = normalize(
    avg_position × 0.5 +
    visibility_score × 0.3 +
    keyword_coverage × 0.2
)

trend_score = normalize(
    traffic_trend × 0.4 +
    ranking_trend × 0.3 +
    engagement_trend × 0.3
)
Show full SKILL.md (152 more words)Show less
Score Interpretation
ScoreRatingStatusAction
90-100ExcellentPerforming optimallyMaintain, minor tweaks
75-89GoodSolid performanceOptimize weak areas
60-74FairRoom for improvementAddress key issues
40-59PoorUnderperformingMajor revision needed
0-39CriticalFailingComplete overhaul

Trend Analysis

Week-over-Week Comparison
markdown
| Metric | This Week | Last Week | Change | Status |
|--------|-----------|-----------|--------|--------|
| Sessions | 1,245 | 1,180 | +5.5% | ↑ GROWING |
| Avg Position | 4.2 | 4.8 | +0.6 | ↑ IMPROVING |
| CTR | 2.8% | 2.6% | +0.2pp | ↑ IMPROVING |
| Bounce Rate | 42% | 38% | +4pp | ↓ DECLINING |
Trend PatternInterpretationRecommended Action
↑↑↑ All metrics upContent gaining momentumDouble down, create related content
↑↓↑ Mixed signalsTransition periodMonitor closely, identify cause
↓↓↓ All metrics downContent decliningUrgent refresh needed
→→→ All flatPlateau reachedExperiment with new angles

Anomaly Detection

Significant Change Thresholds
MetricSignificant ChangeAlert Level
Traffic±30% WoWHIGH
CTR±1pp WoWMEDIUM
Position±5 positionsHIGH
Bounce Rate±10pp WoWMEDIUM
Common Anomaly Causes
AnomalyPossible Causes
Sudden traffic dropAlgorithm update, technical issue, competitor
CTR spikeSERP feature win, seasonal interest
Position fluctuationGoogle testing, competitor changes
Engagement dropContent staleness, UX issue

Output Templates

Metric Summary Card
markdown
## {Metric Name}

**Current Value**: {value}
**Benchmark**: {benchmark}
**Status**: {GOOD|WARNING|POOR}
**Trend**: {↑|→|↓} ({change}% vs last period)

**Interpretation**: {1-2 sentence explanation}

**Recommended Action**: {specific action if needed}
Executive Summary
markdown
## Content Performance Summary

**Overall Health**: {score}/100 ({rating})

### Key Wins
- {positive finding 1}
- {positive finding 2}

### Concerns
- {issue 1}
- {issue 2}

### Priority Actions
1. {highest priority action}
2. {second priority action}
3. {third priority action}

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

Files

Just SKILL.md in plugins/seo/skills/analytics-interpretation of MadAppGang/claude-code.

Open the folder on GitHubat commit 6097ad4

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 MadAppGang/claude-code, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Analytics Interpretation 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.

Analytics Interpretation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analytics Interpretation this skillMadAppGang/claude-code2841 repos~1.4kAutomated safety check: PassMIT
Analytics Tracking Automationjtrackingai/analytics-tracking-automation142—~2.8kAutomated safety check: PassApache-2.0
Analytics Trackingfreekmurze/dotfiles1k12 repos~2kAutomated safety check: PassNone
Analytics Trackingkostja94/marketing-skills1k—~1.5kAutomated safety check: PassMIT
Analytics Trackingalirezarezvani/claude-skills28k1 repos~3.8kAutomated safety check: PassMIT
Google Analyticszapier/connectors176—~4.5kAutomated safety check: PassElastic-2.0

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Works with

Categories

Questions about Analytics Interpretation

What does Analytics Interpretation do?

Interpret GA4 and GSC data with benchmarks, status indicators, and actionable insights. Analytics Interpretation is an agent skill from MadAppGang/claude-code.

When should I use Analytics Interpretation?

Analytics Interpretation fits situations like: data & Analytics work in your project.

How do I install Analytics Interpretation in Claude Code?

Run `npx skills add MadAppGang/claude-code --skill analytics-interpretation -a claude-code`. Or copy the skill folder (plugins/seo/skills/analytics-interpretation in MadAppGang/claude-code) into .claude/skills/analytics-interpretation in your project. Claude Code loads it when a task matches its description.

How do I install Analytics Interpretation in Codex?

Run `npx skills add MadAppGang/claude-code --skill analytics-interpretation -a codex`. Or copy the skill folder (plugins/seo/skills/analytics-interpretation in MadAppGang/claude-code) into .agents/skills/analytics-interpretation in your project. Codex loads it when a task matches its description.

Can I use Analytics Interpretation 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 MadAppGang/claude-code --skill analytics-interpretation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analytics-interpretation, .gemini/skills/analytics-interpretation, .github/skills/analytics-interpretation and .opencode/skills/analytics-interpretation in your project.

What does Analytics Interpretation need to run?

SKILL.md names no scripts, command-line tools or credentials: Analytics Interpretation is instructions for the agent only.

Does Analytics Interpretation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Analytics Interpretation 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 Analytics Interpretation use?

Analytics Interpretation 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 Analytics Interpretation use?

About 1.4k tokens (SKILL.md is roughly 5.8k 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 Analytics Interpretation?

Skills that share tags, products or a category with Analytics Interpretation: Analytics Tracking Automation (jtrackingai/analytics-tracking-automation, 142 stars), Analytics Tracking (freekmurze/dotfiles, 1k stars), Analytics Tracking (kostja94/marketing-skills, 1k stars) and Analytics Tracking (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analytics Interpretation?

MadAppGang (a GitHub organization) maintains it in MadAppGang/claude-code, which has 284 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on March 15, 2026.

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