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Finops budget

Skill vindreshsingh/engineering-skills/skills/finops-budget

The broadest agent-skills library: 64 behaviorally-tested engineering skills + a 38-role SDLC & marketing org + an orchestrated build loop. Works with Claude Code, Cursor, Gemini, Copilot, Codex.

Install
npx -y skills add vindreshsingh/engineering-skills --skill finops-budget

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Controls cloud and SaaS spend — cost visibility, budgets, alerts, and right-sizing. Use when bills spike, planning infra for a feature, or setting cost guardrails before scale.

SKILL.md

3.0 KB, as published. Nobody here has run it

FinOps Budget

Performance without cost awareness burns runway. This skill makes spend visible, budgeted, and actionable before a surprise invoice — not after.

Pairs with [[observability]] for metrics, [[perf-budget]] for efficiency, [[launch-readiness]] before scale events, and [[data-modeling]] when storage drives cost.

When to Use

  • Monthly cloud bill review or spike investigation
  • New feature with infra impact (compute, storage, egress, LLM tokens)
  • Setting budgets/alerts for prod
  • Right-sizing over-provisioned resources
  • Choosing between managed services by cost

Skip for local-only development with no cloud spend.

Process

1. Baseline — know current spend

  • Top 5 cost drivers (service/SKU)
  • Cost per environment (prod vs staging)
  • Trend: last 3 months MoM
  • Untagged or "unknown" spend percentage

No baseline = no improvement.

2. Attribute cost to product

Tag / dimensionUse
service / teamOwnership
environmentprod vs non-prod
featureNew launch tracking

Target: >90% tagged spend.

3. Set budgets and alerts

  • Monthly budget per env with 50/80/100% alert thresholds
  • Anomaly detection on daily spend
  • LLM/API: cost per 1k requests if applicable

Document who gets paged at 100%.

4. Optimize — measure before cutting

Priority order:

  1. Waste — idle resources, orphaned disks, oversized dev clusters
  2. Right-size — CPU/memory after 2 weeks of metrics
  3. Storage — lifecycle policies, compression, archive cold data
  4. Egress — CDN, regional placement, cache ([[caching-strategy]])
  5. Commitments — reserved/savings plans only after stable baseline

5. Feature cost estimate (before build)

For new features document:

  • Compute delta (requests × duration × price)
  • Storage delta (GB × retention)
  • Egress delta
  • Third-party API (LLM tokens, maps, etc.)
  • Monthly estimate at 1x, 10x, 100x users

Hand to product-manager if estimate breaks business model.

6. Review cadence

  • Weekly: anomaly check
  • Monthly: budget vs actual, top deltas
  • Quarterly: architecture cost review

Common Rationalizations

  • "We're too small for FinOps" — Small teams feel bill spikes hardest.
  • "Staging can mirror prod size" — Staging at 25% spec saves 75% there.
  • "Reserved instances now" — Wait for 30-day stable usage pattern.

Red Flags

  • No billing alerts configured
  • Prod and staging indistinguishable in cost reports
  • LLM features without token/cost logging
  • 20% untagged spend

  • Cost discussed only at fundraise time

Verification

  • Top cost drivers documented
  • Budgets and alerts configured
  • Tagging coverage >90% or gap plan owned
  • Feature cost template used for significant infra changes
  • Monthly review cadence scheduled

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.