Cloud and Observability Planning
Plan monitoring around the business's worst failure, with alert severity, channels, runbooks and phased costs.
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Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-observability-cloud-planning | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
Cloud and Observability Planning
Recommends monitoring around the business failure that matters most. A requested register connects service signals, targets, dashboards, costs, alerts and runbooks. Use it to choose a manageable monitoring plan with deliberate alert severity and a phased rollout.
What it does
The skill recommends the smallest monitoring plan that would catch the business's worst failure. It builds a service register only when requested. CSV, SQL DDL, JSON Schema and a Notion mapping derive from one field list so their structures stay aligned.
When to use - and when NOT to
Use it when monitoring choices need to reflect the human cost of an alert and the impact of a failure. Alert Channel and Severity determine whether someone is woken overnight; a runbook connects the alert to a prepared response.
Phase keeps the plan affordable by ordering services around what would hurt the business most. The planning model includes a ten-service stack with four signals per service on a plan tier. A business without a developer should instead use a managed platform and three alerts, rather than a stack of collectors.
Inputs and outputs
The register records what a service does through SLI Definition, what good looks like through SLO Target, what is measured through Dashboard URL, the Monthly Cost Estimate, and the response through Runbook URL. Alert Channel, Severity and Phase connect those details to escalation and rollout decisions. Advice is the default; structured artifacts follow a request.
Source README
Works out the smallest monitoring plan that would actually catch this business's worst
failure, then builds it only when asked. The default output is a short recommendation, not
a service register. The register - CSV, SQL DDL, JSON Schema, Notion mapping - is produced
on request, from one field list so the four cannot drift apart.
The rule this table exists to enforce: an alert is a human cost, so Alert Channel andSeverity decide whether a person is woken at 3am. Everything else in this table exists to
make that decision possible: what the service does (SLI Definition), what good looks like
(SLO Target), what is measured (Dashboard URL), what it costs (Monthly Cost Estimate),
and - the field most tables leave out - what happens when the alert fires (Runbook URL).
An alert with no runbook converts a technical problem into a panicked one.
The second rule: Phase is the field that keeps this affordable. A ten-service stack
with four signals each, on a plan tier, ordered by what would hurt the business most. A
business with no developer should be running a managed platform and three alerts, not a
stack of collectors.
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