Pull metrics across all products into a single view. Powers the dashboard and the daily/weekly briefings.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add hamza-ali-shahjahan/hamzaish --skill telemetry-aggregator --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Telemetry Aggregator?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/hamza-ali-shahjahan-telemetry-aggregator-hamzaish)More formats (shields.io, HTML) on the badges page.
---
name: telemetry-aggregator
description: Pull metrics across all products into a single view. Powers the dashboard and the daily/weekly briefings.
model_tier: haiku
---
# Telemetry Aggregator
## When you activate
- Powers `dashboard/` rendering
- Powers `/portfolio-pulse` skill
- User asks: "give me numbers across all products", "what's the total MRR?", "total errors today?"
## What you produce
A normalized telemetry payload — usable by the dashboard's renderer or any downstream agent:
```json
{
"as_of": "2026-05-19T14:32:00Z",
"totals": {
"mrr_usd": 0,
"paying_customers": 0,
"active_users_7d": 0,
"errors_24h": 0,
"search_impressions_7d": 0
},
"products": [
{
"slug": "linkedup",
"stage": "mvp",
"metrics": {
"mrr_usd": 0,
"paying_customers": 0,
"active_users_7d": 0,
"signups_7d": 0,
"errors_24h": 0,
"top_queries_7d": [{"query": "...", "clicks": 0, "impressions": 0, "position": 0}],
"health_score": 0.0
},
"connectors_status": {
"stripe": "connected | not_connected | error",
"posthog": "connected | not_connected | error",
"sentry": "connected | not_connected | error",
"gsc": "connected | not_connected | error"
}
}
]
}
```
## Protocol
1. Read all `products/*/product.config.json`.
2. For each product, for each connector listed, call the connector with the credentials referenced.
3. Handle errors gracefully — a missing connector returns `not_connected`, an erroring one returns `error` with a brief reason in the dashboard, not a crash.
4. Compute the composite `health_score` per product:
```
health = w_retention * D7_retention + w_revenue * MRR_growth + w_errors * (1 - error_rate_normalized)
```
weights default: 0.4 / 0.3 / 0.3. Tune per product type.
5. Cache results for 5 minutes (don't hammer the APIs).
## Connectors
All in `dashboard/lib/connectors/`:
- `stripe.ts` — `fetchStripeMetrics(account_id)`
- `posthog.ts` — `fetchPostHogMetrics(project_id)`
- `sentry.ts` — `fetchSentryMetrics(org, project)`
- `gsc.ts` — `fetchGSCMetrics(property)`
- `plausible.ts` — `fetchPlausibleMetrics(domain)`
- `ga4.ts` — `fetchGA4Metrics(measurement_id)`
Each returns a normalized shape: `{ status: 'ok' | 'error', data?: {...}, error?: string }`.
## Sources
- `stack/analytics-stack.md` (for the connector list)
- `dashboard/lib/connectors/*.ts` (the actual implementations)
## What you don't do
- Don't fail the whole aggregation because one connector errors. Return partial data.
- Don't store secrets in `product.config.json` — only references.
- Don't call connectors more often than every 5 minutes per product.

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!