Assesses cloud and infrastructure costs — current spend, projected spend, cost-per-unit (request/user/feature), top line items driving the bill, optimisation opportunities with ROI, and lock-in risks. Use this skill PROACTIVELY whenever the user mentions infrastructure costs, cloud bills, vendor pricing, scaling cost, "our bill is too high", "we're burning cash on infra", "is this expensive at scale", or shares a bill, an architecture with cost implications, or a pricing page. Common trigger phrases include "our AWS bill is X", "we're spending Y on Z", "how much will this cost at scale", "is this cheaper than Y", "what's the cost of running this", "should we be on a different plan", "how can we cut our cloud bill", "what does this scale to financially", "is Datadog worth the cost". Also triggers when the user describes an architecture with non-trivial cost shape (large databases, high-throughput compute, video/AI inference, observability vendors, data egress). Especially important to trigger when the user is non-technical and may not see hidden cost drivers (egress, observability ingestion, idle reserved capacity, per-seat vendor pricing). Produces a structured assessment covering cost decomposition, unit economics, top three line items with optimisation ROI, vendor lock-in risk, and a verified-against-current-pricing recommendation.
English
AGENT SKILLS ATLASIncludes Feature Decision and Infra Cost Assessment.
Claude Code
Codex
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GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Feature Decision
Decide whether to build a feature request
Infra Cost Assessment
Assesses cloud and infrastructure costs — current spend, projected spend, cost-per-unit (request/user/feature), top line items driving the bill, optimisation opportunities with ROI, and lock-in risks. Use this skill PROACTIVELY whenever the user mentions infrastructure costs, cloud bills, vendor pricing, scaling cost, "our bill is too high", "we're burning cash on infra", "is this expensive at scale", or shares a bill, an architecture with cost implications, or a pricing page. Common trigger phrases include "our AWS bill is X", "we're spending Y on Z", "how much will this cost at scale", "is this cheaper than Y", "what's the cost of running this", "should we be on a different plan", "how can we cut our cloud bill", "what does this scale to financially", "is Datadog worth the cost". Also triggers when the user describes an architecture with non-trivial cost shape (large databases, high-throughput compute, video/AI inference, observability vendors, data egress). Especially important to trigger when the user is non-technical and may not see hidden cost drivers (egress, observability ingestion, idle reserved capacity, per-seat vendor pricing). Produces a structured assessment covering cost decomposition, unit economics, top three line items with optimisation ROI, vendor lock-in risk, and a verified-against-current-pricing recommendation.
Quick start
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After installation, start with a request like:
Use the Feature Decision skill to help with my task.
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