Analyze Umami or GA4 traffic with evidence-backed specialist reviews and deliver a concise portfolio pulse, decision brief, or deep dive.

MITAuto-check: notesData & Analytics

Install Web Analytics

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill web-analytics -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace web-analytics --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/web-analytics .claude/skills/web-analytics && 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
web-analytics
GitHub stars
2.8k
Token cost
~1.9k tokens
SKILL.md length
705 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Analyze Umami or GA4 traffic with evidence-backed specialist reviews and deliver a concise portfolio pulse, decision brief, or deep dive.

  • Works in 5 steps: Parse the Request → Load Configuration → Collect the Minimum Dataset → …
  • The user asks to check analytics
  • SKILL.md covers Overview, Prerequisites, Authentication and Safety and Workflow, plus 4 more sections
  • Calls curl and python3; reaches analytics.intentsolutions.io; needs UMAMI_PASSWORD

What it does

Web Analytics is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze Umami or GA4 traffic with evidence-backed specialist reviews and deliver a concise portfolio pulse, decision brief, or deep dive. Use when the user asks to check analytics, explain a traffic change, inspect funnels, compare site performance, or prepare an analytics report. Trigger with "/analytics", "check my analytics", "how's my traffic", "site stats", "traffic report", or "analytics brief".

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/operating-contract.md`). Compatibility notes: Designed for Claude Code

It sits in Data & Analytics, covering Data analysis. It works with Google Analytics and Slack. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • The user asks to check analytics
  • Explain a traffic change
  • Inspect funnels
  • Compare site performance

Example prompts

  • “/analytics”
  • “check my analytics”
  • “s my traffic”
  • “/web-analytics”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Bash(date:*), Bash(curl:*), Bash(python3:*), Bash(source:*), Agent

Workflow steps

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

  1. Parse the Request
  2. Load Configuration
  3. Collect the Minimum Dataset
  4. Route by Tier
  5. Verify and Deliver

What it can do on your machine

Read from SKILL.md and the folder at commit 80f86df. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash(date:*)
    • Bash(curl:*)
    • Bash(python3:*)
    • Bash(source:*)
    • Agent

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • python3

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • analytics.intentsolutions.io

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • UMAMI_PASSWORD

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

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Web Analytics loads about 1.9k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 105 tokens; SKILL.md has 705 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~105
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

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:41
    `UMAMI_PASSWORD` from `~/.env`.
  • NoteMentions a .env fileSKILL.md:89
    source ~/.env

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 jeremylongshore/tons-of-skills-marketplace at commit 80f86df, republished under its MIT licence (© jeremylongshore). 705 words, ~1,882 tokens.

Download SKILL.mdSave it as .claude/skills/web-analytics/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
web-analytics
description
Analyze Umami or GA4 traffic with evidence-backed specialist reviews and deliver a concise portfolio pulse, decision brief, or deep dive. Use when the user asks to check analytics, explain a traffic change, inspect funnels, compare site performance, or prepare an analytics report. Trigger with "/analytics", "check my analytics", "how's my traffic", "site stats", "traffic report", or "analytics brief".
allowed-tools
Read, Bash(date:*), Bash(curl:*), Bash(python3:*), Bash(source:*), Agent
compatibility
Designed for Claude Code
version
1.5.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
analytics, umami, traffic, reporting, intelligence
argument-hint
[mini|medium|full] [--site=name] [--period=7d] [--email] [--slack]
model
inherit
effort
high
user-invocable
true

Web Analytics Intelligence

Overview

Turn portfolio analytics into a decision-ready report by collecting a bounded dataset, preserving the comparison window, separating observed facts from hypotheses, and routing deeper requests through specialist agents. This is a push-based analysis workflow, not a dashboard replacement.

Read the operating contract before making authenticated requests or delivering a report.

Prerequisites

  • Configure sites and thresholds in ${CLAUDE_PLUGIN_ROOT}/references/site-registry.md.
  • Store Umami credentials in the operator's approved secret store; this installation uses UMAMI_PASSWORD from ~/.env.
  • Confirm /email or /slack independently before requesting those delivery channels.
  • Use ${CLAUDE_PLUGIN_ROOT}/references/reporting-tiers.md and ${CLAUDE_PLUGIN_ROOT}/references/interpretation-guide.md for medium and full reports.

Authentication and Safety

  1. Confirm the analytics base URL is the expected operator-controlled host before sending a credential.
  2. Load UMAMI_PASSWORD only for the command that needs it. Never print, log, persist, or pass the password or bearer token to a specialist agent.
  3. Use curl --fail-with-body --silent --show-error; stop if authentication fails or the token is empty.
  4. Treat email and Slack delivery as external side effects. Preview the destination and report, and obtain confirmation when the user has not explicitly requested delivery.
  5. Never send messages, modify analytics configuration, or write baseline state during a read-only request. A full-tier memory update requires an explicit writable scope.

Workflow

1. Parse the Request
ParameterDefaultAccepted values
Tierminimini, medium, full
SiteallRegistry name or all
Period7dtoday, yesterday, 7d, 30d, mtd, qtd
Deliveryconsoleconsole, email, slack, all
Compareprior equivalentAn explicit comparison window

Use defaults when they preserve the user's intent. Ask before continuing if the site, time window, or external destination would materially change the result.

2. Load Configuration

Read only the files needed for the selected tier:

  1. ${CLAUDE_PLUGIN_ROOT}/references/site-registry.md for site IDs, baselines, and thresholds.
  2. ${CLAUDE_PLUGIN_ROOT}/references/mcp-tool-reference.md for supported data operations.
  3. ${CLAUDE_PLUGIN_ROOT}/references/reporting-tiers.md for output contracts.
  4. ${CLAUDE_PLUGIN_ROOT}/references/interpretation-guide.md for evidence language.
3. Collect the Minimum Dataset

For direct Umami access, authenticate and fail closed:

bash
set -euo pipefail
source ~/.env
analytics_url="https://analytics.intentsolutions.io"
token=$(curl --fail-with-body --silent --show-error "${analytics_url}/api/auth/login" \
  -X POST -H "Content-Type: application/json" \
  -d '{"username":"admin","password":"'"${UMAMI_PASSWORD}"'"}' | \
  python3 -c "import json,sys; print(json.load(sys.stdin).get('token',''))")
test -n "${token}" || { printf 'Umami authentication returned no token\n' >&2; exit 1; }
curl --fail-with-body --silent --show-error \
  "${analytics_url}/api/websites/<site-id>/stats?startAt=<start-ms>&endAt=<end-ms>&compare=prev" \
  -H "Authorization: Bearer ${token}"
unset token UMAMI_PASSWORD

Record the source, site, timezone, exact start and end timestamps, comparison window, and any missing endpoint. Do not infer missing values as zero.

4. Route by Tier
  • Mini: Collect aggregate stats and active visitors inline. Return totals, per-site metrics, comparison deltas, and one material signal in at most 15 lines.
  • Medium: Use Agent to run data-collector; after it returns, run traffic-intelligence, content-seo, and anomaly-detector concurrently. Give reporting-narrative their outputs, the exact period, and the requested delivery format.
  • Full: Run data-collector for aggregate, event, technology, and geography data. Then run all five analysis specialists concurrently, pass their claims to verification-agent, and compile only verified or explicitly qualified findings with reporting-narrative.

Agent definitions live under ${CLAUDE_PLUGIN_ROOT}/agents/. Give agents collected results, not credentials. Bound every assignment to the requested sites and period. If an agent fails, report that coverage gap and continue only when the remaining evidence can support the requested output.

Show full SKILL.md (239 more words)Show less
5. Verify and Deliver

Before delivery, apply the operating contract:

  1. Recalculate headline deltas from the raw totals.
  2. Label each statement as observation, comparison, hypothesis, or recommendation.
  3. Check anomaly claims against baselines and low-volume noise.
  4. Name unavailable sources and incomplete windows.
  5. Preview external destinations, then invoke /email or /slack only when authorized.

For a full-tier report, run memory-agent only if the user authorized baseline-state updates. Persist the period, source, and evidence receipt so a later report can reproduce the comparison.

Error Handling

Stop without exposing secret material when authentication fails. For partial endpoint, site, agent, or delivery failures, retain successful evidence, name the exact coverage gap, and avoid complete- portfolio or trend claims that the remaining data cannot support. The operating contract defines the required fallback for each failure class.

Output

Return the tier, sites, exact period, comparison window, sources consulted, coverage gaps, and delivery result. Lead with the strongest verified signal, show the supporting metrics, distinguish hypotheses from facts, and end with prioritized actions that each have an owner or next check.

Examples

  • /analytics --period=today produces a mini console pulse for every configured site.
  • /analytics medium --site=tonsofskills --period=7d explains material traffic and content shifts.
  • /analytics full --period=30d --email previews an evidence-checked deep dive before email delivery.

Resources

  • Operating contract — auth, evidence, failure, and delivery gates.
  • ${CLAUDE_PLUGIN_ROOT}/references/site-registry.md — configured properties and thresholds.
  • ${CLAUDE_PLUGIN_ROOT}/references/reporting-tiers.md — detailed report schemas.
  • ${CLAUDE_PLUGIN_ROOT}/references/interpretation-guide.md — analytical voice and caveats.
  • ${CLAUDE_PLUGIN_ROOT}/references/delivery-channels.md — email and Slack adapters.

© jeremylongshore, 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 1 other file (references) in skills/.curated/web-analytics of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/operating-contract.md

Open the folder on GitHubat commit 80f86df

Compare with similar skills

Web Analytics 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.

Web Analytics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Web Analytics this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.9kAutomated safety check: NotesMIT
Google Analyticszapier/connectors176—~4.5kAutomated safety check: PassElastic-2.0
13 Data Analysis Globalminhnv0807/ai-business-skills610—~4kAutomated safety check: PassMIT
Google Analytics 4 AnalysisLichAmnesia/lich-skills234—~2kAutomated safety check: NotesMIT
Google Analytics Data API Basicsgoogle/skills21k—~2.4kAutomated safety check: PassApache-2.0
Exploratory Data Analysisspacering-net/codeg3.9k14 repos~3.6kAutomated safety check: PassMIT

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Questions about Web Analytics

What does Web Analytics do?

Analyze Umami or GA4 traffic with evidence-backed specialist reviews and deliver a concise portfolio pulse, decision brief, or deep dive. Web Analytics is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze Umami or GA4 traffic with evidence-backed specialist reviews and deliver a concise portfolio pulse, decision brief, or deep dive.

When should I use Web Analytics?

Web Analytics fits situations like: the user asks to check analytics; explain a traffic change; inspect funnels; compare site performance.

How do I install Web Analytics in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill web-analytics -a claude-code`. Or copy the skill folder (skills/.curated/web-analytics in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/web-analytics in your project. Claude Code loads it when a task matches its description.

How do I install Web Analytics in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill web-analytics -a codex`. Or copy the skill folder (skills/.curated/web-analytics in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/web-analytics in your project. Codex loads it when a task matches its description.

Can I use Web Analytics 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 jeremylongshore/tons-of-skills-marketplace --skill web-analytics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/web-analytics, .gemini/skills/web-analytics, .github/skills/web-analytics and .opencode/skills/web-analytics in your project.

What does Web Analytics need to run?

Going by SKILL.md and its folder, Web Analytics needs the command-line tools its instructions call (curl and python3) and credentials named UMAMI_PASSWORD. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Bash(date:*), Bash(curl:*), Bash(python3:*), Bash(source:*), Agent. Compatibility (from SKILL.md): Designed for Claude Code.

Does Web Analytics access the network?

SKILL.md names 1 domain. In commands or code: analytics.intentsolutions.io; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Web Analytics 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. Review the folder before installing.

What licence does Web Analytics use?

Web Analytics 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 Web Analytics use?

About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 926 tokens, read only when the agent opens those files.

What are the alternatives to Web Analytics?

Skills that share tags, products or a category with Web Analytics: Google Analytics (zapier/connectors, 176 stars), 13 Data Analysis Global (minhnv0807/ai-business-skills, 610 stars), Google Analytics 4 Analysis (LichAmnesia/lich-skills, 234 stars) and Google Analytics Data API Basics (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Web Analytics?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,825 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 9, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.