Individual skill
flyio-cost-tuning
Analyze Fly.io Machine, volume, network, IP, and Managed Postgres cost drivers without freezing volatile prices. Use when reducing spend or forecasting capacity. Trigger with: "audit Fly bill", "right-size Fly Machines", "reduce Fly idle cost".
skills/.curated/flyio-cost-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Not checked yet
- Last checked
- Nov 12, 2026
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- Repository stars (not skill ratings)
- 2,917
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- flyio Declared skill tag
- cost-management Declared skill tag
- right-sizing Declared skill tag
- autostop Declared skill tag
- security Derived category
- data Derived category
- data-databases Derived category
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SKILL.mdcore · 4,955 bytesSKILL.mdcore · 4,955 bytesreferences/official-docs.mddoc · 1,963 bytes
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# Fly.io Cost and Capacity Review
## Overview
Optimize from measured usage and the current pricing page, not copied monthly constants. Separate running and stopped Machine charges, persistent volume and snapshot charges, network and IP costs, and Managed Postgres resources that live outside application deletion.
## Prerequisites
- Billing window, currency, organization, apps, and cost owner
- Machine state and resource history plus traffic, latency, and availability objectives
- Inventory of volumes, snapshots, IPs, transfer, builders, and Managed Postgres clusters
## Instructions
