dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Query Umami Cloud (v2) analytics data via API using an environment-provided API key. Use when agents need website traffic, pages, events, sessions, realtime, reports, or attribution data for analysis, planning, experiments, or monitoring. Includes read-only API querying patterns, endpoint selection guidance, and reusable scripts for flexible endpoint + time-range requests.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install hfichter/umami-statsExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Use this skill as a data-access layer: fetch Umami analytics data, then let the agent decide analysis/strategy.
UMAMI_API_KEY (required)UMAMI_BASE_URL (optional, default: https://api.umami.is)UMAMI_WEBSITE_ID (optional default site)UMAMI_DEPLOYMENT (optional: cloud or self-hosted, default: cloud)https://api.umami.is/v1/...
https://<your-host>/api/...
The script supports both:
--deployment cloud → uses cloud behavior (/v1 + x-umami-api-key)--deployment self-hosted → uses self-hosted behavior (/api + Authorization: Bearer ...)references/read-endpoints.md.scripts/umami_query.py with endpoint + params.today, last7d, etc.) or custom startAt/endAt.# 1) List websites
python3 scripts/umami_query.py --endpoint /v1/websites
# 2) Website stats for last 7 days (default website from env)
python3 scripts/umami_query.py \
--endpoint /v1/websites/{websiteId}/stats \
--preset last7d
# 3) Top pages with explicit website id
python3 scripts/umami_query.py \
--endpoint /v1/websites/{websiteId}/pageviews \
--website-id "$UMAMI_WEBSITE_ID" \
--preset last30d
# 4) Events series with custom window
python3 scripts/umami_query.py \
--endpoint /v1/websites/{websiteId}/events/series \
--param startAt=1738368000000 \
--param endAt=1738972799000
# 5) Legacy path auto-mapping in cloud mode (/api/... -> /v1/...)
python3 scripts/umami_query.py --endpoint /api/websites/{websiteId}/stats --preset last7d
# 6) Self-hosted example (/v1/... auto-maps to /api/...)
python3 scripts/umami_query.py \
--deployment self-hosted \
--base-url "https://umami.example.com" \
--endpoint /v1/websites/{websiteId}/stats \
--pre...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Umami Stats (Read-only API skill)
Use this skill as a **data-access layer**: fetch Umami analytics data, then let the agent decide analysis/strategy.
## Required environment variables
- `UMAMI_API_KEY` (required)
- `UMAMI_BASE_URL` (optional, default: `https://api.umami.is`)
- `UMAMI_WEBSITE_ID` (optional default site)
- `UMAMI_DEPLOYMENT` (optional: `cloud` or `self-hosted`, default: `cloud`)
## API path conventions (explicit)
- **Umami Cloud:** `https://api.umami.is/v1/...`
- **Self-hosted Umami:** `https://<your-host>/api/...`
The script supports both:
- `--deployment cloud` → uses cloud behavior (`/v1` + `x-umami-api-key`)
- `--deployment self-hosted` → uses self-hosted behavior (`/api` + `Authorization: Bearer ...`)
## Read-only workflow
1. Pick endpoint from docs or `references/read-endpoints.md`.
2. Run `scripts/umami_query.py` with endpoint + params.
3. Use presets (`today`, `last7d`, etc.) or custom `startAt`/`endAt`.
4. Analyze returned JSON for the user task.
## Quick commands
```bash
# 1) List websites
python3 scripts/umami_query.py --endpoint /v1/websites
# 2) Website stats for last 7 days (default website from env)
python3 scripts/umami_query.py \
--endpoint /v1/websites/{websiteId}/stats \
--preset last7d
# 3) Top pages with explicit website id
python3 scripts/umami_query.py \
--endpoint /v1/websites/{websiteId}/pageviews \
--website-id "$UMAMI_WEBSITE_ID" \
--preset last30d
# 4) Events series with custom window
python3 scripts/umami_query.py \
--endpoint /v1/websites/{websiteId}/events/series \
--param startAt=1738368000000 \
--param endAt=1738972799000
# 5) Legacy path auto-mapping in cloud mode (/api/... -> /v1/...)
python3 scripts/umami_query.py --endpoint /api/websites/{websiteId}/stats --preset last7d
# 6) Self-hosted example (/v1/... auto-maps to /api/...)
python3 scripts/umami_query.py \
--deployment self-hosted \
--base-url "https://umami.example.com" \
--endpoint /v1/websites/{websiteId}/stats \
--pre...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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