Seo Matomo

CommunityPopular

AgriciDaniel

seo-matomo

Matomo Reporting API extension. Self-hosted or Matomo Cloud analytics as a GA4 alternative or complement. Organic traffic, landing pages, device / country breakdowns, referrers, search keywords. Triggers on "Matomo", "self-hosted analytics", "analytics ohne Google", "GA4 alternative", "Matomo Reporting", "Piwik".

Overview

Publisher	AgriciDaniel
Repository	`claude-seo`
Skill name	`seo-matomo`
Stars	18.7K
Forks	2.7K
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

Install the Seo Matomo AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/AgriciDaniel/claude-seo/tree/main/extensions/matomo/skills/seo-matomo
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/AgriciDaniel/claude-seo/tree/main/extensions/matomo/skills/seo-matomo

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git /tmp/claude-seo
mkdir -p .claude/skills
cp -r /tmp/claude-seo/extensions/matomo/skills/seo-matomo .claude/skills/seo-matomo

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Matomo in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Matomo on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Matomo is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

seo-matomo

Self-hosted analytics surface. Use Matomo as a privacy-first GA4 alternative when you own your analytics data, want zero Google dependency, or operate behind a strict data-residency boundary. The same seo-matomo skill works against Matomo Cloud and self-hosted instances.

Prerequisites

Run extensions/matomo/install.sh or install.ps1.
A Matomo instance URL (https://analytics.example.com).
A Matomo API token_auth with view access on the sites you analyze.
(Optional) A default idSite to avoid passing --site-id on every call.

Routing

Command	Underlying script
`/seo matomo check`	`"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_auth.py --check`
`/seo matomo organic [site-id]`	`"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_report.py organic --site-id <id>`
`/seo matomo top-pages`	`"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_report.py top-pages`
`/seo matomo device`	`"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_report.py device`
`/seo matomo country`	`"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_report.py country`
`/seo matomo referrers`	`"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_report.py referrers`
`/seo matomo keywords`	`"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_report.py keywords`

All commands accept --days (default 28), --limit, --site-id, and --json. The site ID falls back to MATOMO_SITE_ID from settings.

When this skill applies

The user wants Google-free analytics or has a Matomo instance already configured. Common in EU privacy-first setups, regulated industries, and teams who own their analytics.
The user explicitly says "Matomo", "self-hosted analytics", or asks to replace GA4. For Google Search performance use seo-google; this skill is the reporting substitute.
The user is migrating from GA4 and wants the same report types (organic trend, landing pages, device / country split, referrer split) sourced from Matomo's Reporting API.

Cross-skill delegation

For Google Search Console / CrUX / Indexing, route to seo-google. seo-matomo covers reporting (visits / pages / referrers), not search performance metrics.
For AI Overview / GEO citability work, route to seo-geo. Matomo offers no LLM-specific signals.
During /seo audit, the orchestrator spawns the seo-matomo agent (analogous to seo-google) whenever "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_auth.py --check succeeds. Both agents can be active simultaneously when the user has both GA4 and Matomo configured.

Self-hosted instance on a private address

Every Matomo request goes through claude-seo's SSRF guard: the instance URL is validated and DNS-pinned, and a redirect off the instance is refused. Private, loopback, and link-local addresses are refused by default. When the user's instance lives on one (http://matomo.internal:8080, http://192.168.1.20, http://localhost:8080), tell them to name it in the CLAUDE_SEO_LOCAL_TARGETS allowlist:

bash
export CLAUDE_SEO_LOCAL_TARGETS="matomo.internal:8080"

Entries are host or host:port, comma-separated, matched exactly. The allowlist covers only the top-level instance URL; redirect targets and every other host stay fail-closed, and cloud metadata addresses are refused even when listed. Never suggest disabling the guard or editing url_safety.py: the allowlist is the supported route. Details in extensions/matomo/docs/MATOMO-SETUP.md and SECURITY.md.

Error Handling

Refused by the SSRF guard (error names CLAUDE_SEO_LOCAL_TARGETS): the instance is on a private address that has not been allowlisted. Give the user the exact export line from the error, which already carries the right host:port.
Refused redirect: the instance answered a 30x pointing at another host. MATOMO_URL is pointing at a redirector rather than at the Reporting API. Ask the user for the URL their instance actually serves the API from.
Missing credentials: report which env vars / config keys are unset and remind the user to run extensions/matomo/install.sh or "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run matomo_auth.py --setup.
HTTP 401/403 from Matomo: the token lacks view access for the given site. Verify the token scope in Matomo Administration -> Personal -> Security -> API Tokens. The skill never logs the token.
result=error payloads from Matomo (e.g. invalid idSite): surface the message verbatim; do not guess.
Connection / SSL / timeout: report the network failure class (ConnectionError, SSLError, timeout) and confirm MATOMO_URL resolves.

Output Formatting

Tables for time-series, device, and country data.
Critical / High / Medium / Low priority for any cross-skill actions surfaced from Matomo data.
Always label the data source as "Matomo Reporting API (live)" to distinguish from GA4, CrUX, or static crawl analysis.
For organic keywords, surface the anonymized_share_pct prominently. Many keywords will be "(not provided)" due to browser privacy and Matomo's anonymization rules; this is normal, not a data bug.

Frequently asked questions

What does the Seo Matomo AI skill do?

Why use Seo Matomo on TypingMind?

Because you install it once and use it with any model. Seo Matomo is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Matomo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-seo/tree/main/extensions/matomo/skills/seo-matomo. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Seo Matomo?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Matomo?

As many as you like. As long as a model supports skills, you can use Seo Matomo with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Matomo AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

seo-matomo

Prerequisites

Routing

When this skill applies

Cross-skill delegation

Self-hosted instance on a private address

Error Handling

Output Formatting

Frequently asked questions

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