Skip to content

Matomo Analytics

Verified

Query, analyze, and manage Matomo Analytics with API integration, custom reports, and goal tracking.

116 downloads
$ Add to .claude/skills/

About This Skill

Setup

On first use, read `setup.md` for integration guidelines. The skill stores configuration in `~/matomo/`.

When to Use

User needs to query Matomo analytics, generate reports, track goals, or manage their self-hosted analytics. Agent handles API queries, data analysis, visitor insights, and conversion tracking.

Architecture

Memory lives in `~/matomo/`. See `memory-template.md` for structure.

``` ~/matomo/ ├── memory.md # Sites, credentials ref, preferences ├── reports/ # Saved report templates └── queries/ # Reusable API query templates ```

Quick Reference

| Topic | File | |-------|------| | Setup process | `setup.md` | | Memory template | `memory-template.md` | | API reference | `api.md` | | Report templates | `reports.md` |

Core Rules

1. Never Expose Credentials - Token is stored in system keychain or env var, never in memory files - Refer to credentials by reference name only - If user pastes token in chat, warn and suggest secure storage

2. Use Reporting API for Reads ```bash # Base pattern curl -s "https://{matomo_url}/index.php?module=API&method={method}&idSite={site_id}&period={period}&date={date}&format=json&token_auth={token}" ``` Common methods: - `VisitsSummary.get` — visitors, visits, pageviews - `Actions.getPageUrls` — top pages - `Referrers.getWebsites` — traffic sources - `Goals.get` — conversion data

3. Understand Date Ranges | Period | Date Format | Example | |--------|-------------|---------| | `day` | `YYYY-MM-DD` | `2025-01-15` | | `week` | `YYYY-MM-DD` | Week containing that date | | `month` | `YYYY-MM` | `2025-01` | | `year` | `YYYY` | `2025` | | `range` | `YYYY-MM-DD,YYYY-MM-DD` | `2025-01-01,2025-01-31` |

Special dates: `today`, `yesterday`, `last7`, `last30`, `lastMonth`, `lastYear`

4. Handle Multi-Site Setups - Always confirm which site before querying - Store site list in memory.md with idSite mappings - Default to most-used site if configured

5. Format Data for Humans - Round percentages to 1 decimal - Use K/M suffixes for large numbers - Compare periods when context helps (vs last week/month) - Highlight significant changes (>10% delta)

6. Respect Rate Limits - Batch related queries into single date range when possible - Cache recent results in memory for follow-up questions - Avoid querying same data repeatedly in conversation

7. Use Segments for Deeper Insights Segments filter data by visitor attributes. Add `&segment=` to any query:

```bash # Mobile visitors only &segment=deviceType==smartphone

# From specific country &segment=countryCode==US

# Returning visitors who converted &segment=visitorType==returning;goalConversionsSome>0

# Combine with AND (;) or OR (,) &segment=browserCode==CH;operatingSystemCode==WIN ```

  • Common segment dimensions:
  • `deviceType` — smartphone, tablet, desktop
  • `browserCode` — CH (Chrome), FF (Firefox), SF (Safari)
  • `countryCode` — ISO 2-letter code
  • `visitorType` — new, returning
  • `referrerType` — direct, search, website, campaign

Matomo Traps

  • Wrong idSite → querying wrong property, misleading data. Always confirm site first.
  • Forgetting token_auth → 403 or empty response. Token required for all non-public methods.
  • date vs period mismatch → confusing results. `period=range` requires `date=start,end` format.
  • Expecting GA terminology → Matomo uses "visits" not "sessions", "actions" not "events". Translate mentally.
  • Ignoring segments → missing the real insight. Segments filter data by visitor attributes.

External Endpoints

| Endpoint | Data Sent | Purpose | |----------|-----------|---------| | `{user_matomo_url}/index.php` | API method, site ID, date range, auth token | Query analytics data |

No other data is sent externally. All requests go to user's own Matomo instance.

Security & Privacy

  • Data that leaves your machine:
  • API queries sent to user's Matomo instance only
  • Auth token included in requests (user-controlled)
  • Data that stays local:
  • Site configurations in ~/matomo/
  • Report templates
  • No data sent to third parties
  • This skill does NOT:
  • Store auth tokens in plain text
  • Send data to any service except user's Matomo
  • Access files outside ~/matomo/

Related Skills Install with `clawhub install <slug>` if user confirms: - `analytics` — general analytics patterns - `umami` — privacy-focused analytics - `api` — REST API integration

Feedback

  • If useful: `clawhub star matomo`
  • Stay updated: `clawhub sync`

Use Cases

  • Query and analyze Matomo web analytics data via API integration
  • Build custom analytics reports from self-hosted Matomo instances
  • Track website goals and conversion metrics with Matomo
  • Manage Matomo sites, users, and tracking configuration
  • Generate privacy-friendly analytics dashboards from Matomo data

Pros & Cons

Pros

  • +Compatible with multiple platforms including claude-code, openclaw
  • +Well-documented with detailed usage instructions and examples
  • +Open source with permissive licensing
  • +Runs locally with no external API dependencies

Cons

  • -Requires API tokens or authentication setup before first use
  • -No built-in analytics or usage metrics dashboard

FAQ

What does Matomo Analytics do?
Query, analyze, and manage Matomo Analytics with API integration, custom reports, and goal tracking.
What platforms support Matomo Analytics?
Matomo Analytics is available on Claude Code, OpenClaw.
What are the use cases for Matomo Analytics?
Query and analyze Matomo web analytics data via API integration. Build custom analytics reports from self-hosted Matomo instances. Track website goals and conversion metrics with Matomo.

100+ free AI tools

Writing, PDF, image, and developer tools — all in your browser.

Next Step

Use the skill detail page to evaluate fit and install steps. For a direct browser workflow, move into a focused tool route instead of staying in broader support surfaces.