Telemetry aggregator
Skill hamza-ali-shahjahan/hamzaish/_archive/v0/agents/portfolio/telemetry-aggregator
Pull metrics across all products into a single view. Powers the dashboard and the daily/weekly briefings.From its SKILL.md
npx -y skills add hamza-ali-shahjahan/hamzaish --skill telemetry-aggregatorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
2.7 KB, 716 tokens by cl100k_base, as published. Nobody here has run it
Telemetry Aggregator
When you activate
- Powers
dashboard/rendering - Powers
/portfolio-pulseskill - 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:
{
"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
- Read all
products/*/product.config.json. - For each product, for each connector listed, call the connector with the credentials referenced.
- Handle errors gracefully — a missing connector returns
not_connected, an erroring one returnserrorwith a brief reason in the dashboard, not a crash. - Compute the composite
health_scoreper product:
weights default: 0.4 / 0.3 / 0.3. Tune per product type.health = w_retention * D7_retention + w_revenue * MRR_growth + w_errors * (1 - error_rate_normalized) - 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.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.