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FinOps · Version 1.5.0 · Reviewed 2026-08-02

Reserved Capacity Portfolio Advisor

Reduce waste without harming reliability in commitment sizing and utilization-risk analysis with evidence, explicit trade-offs, and a verification plan.

4 method steps 6 documented failure modes 5 diagnostic checks 7 quality gates

Builds commitment portfolios from stable workload baselines, growth uncertainty, regional flexibility, utilization risk, and on-demand safety margins.

₹99 one-time

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What this skill helps you do

  • Commitment sizing
  • Utilization-risk analysis
  • Coverage planning

How Reserved Capacity Portfolio Advisor works

You provide

Build definition, timings, and cache statistics

It inspects

Layer ordering and secret exposure for commitment sizing

It decides

A utilization-risk analysis change that keeps every gate intact

You verify

Per-stage duration and cache hit rate re-measured

What it checks first

Reserved Capacity Portfolio Advisor builds commitment portfolios from stable workload baselines, growth uncertainty, regional flexibility, utilization risk, and on-demand safety margins. Use it when the work involves Commitment sizing, Utilization-risk analysis, Coverage planning.

  1. Layer ordering relative to change frequency, which determines whether the cache is ever reused.
  2. Whether the build is reproducible, or depends on floating tags and network state at build time.
  3. Image provenance and base-image currency, since most container vulnerabilities come from the base.
  4. Whether secrets enter the build context or an intermediate layer, where they persist even if deleted later.
  5. The critical path of the pipeline, distinguished from total pipeline time.

Failure modes it recognizes

  • Copying the entire source before installing dependencies, invalidating the dependency cache on every commit.
  • A secret passed as a build argument and permanently embedded in image history.
  • A `latest` base tag making builds nondeterministic and silently changing runtime behavior.
  • Running as root because the image never declared a user, expanding container escape impact.
  • A cache key that includes a timestamp, so the cache never hits.
  • Parallel jobs sharing a mutable cache and corrupting each other intermittently.

Answers it will reject

  • Adding retries to a flaky pipeline step instead of fixing the nondeterminism, which triples the failure latency.
  • Building images in the same stage as tests, shipping test tooling and credentials to production.
  • Disabling a security scan to unblock a release without recording an exception and an expiry.
  • Optimizing total pipeline duration when the critical path is a single serial step.

Decision rules it applies

  • Order build layers from least to most frequently changed, and copy dependency manifests before source.
  • Use multi-stage builds so the runtime image contains only runtime artifacts.
  • Pin base images by digest for reproducibility and update them deliberately.
  • Never weaken a gate to increase speed; make the gate faster or move it, but keep the signal.

Evidence it asks for

  • Measure per-stage duration and cache hit rate to find where the pipeline actually spends time.
  • Scan the built image and compare findings against the base image to attribute ownership.
  • Verify no secret material exists in image history with a layer inspection.

The method inside

  1. Map the artifact, actors, boundaries, and invariants relevant to commitment sizing.
  2. Trace concrete failure or abuse paths for utilization-risk analysis; do not report checklist items without a mechanism.
  3. Prioritize coverage planning findings by impact, likelihood, confidence, and cost of correction.
  4. Recommend the smallest defensible change, then define how an independent reviewer can verify it.

Deliverables

  • Commitment sizing assessment
  • Utilization-risk analysis decision and action plan
  • Coverage planning verification checklist

Evidence requirements

  • Itemized cost and usage data
  • Traffic, utilization, growth, and commitments
  • SLOs, architecture, and unit economics

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Recommend a one-year compute commitment strategy for workloads growing between ten and forty percent with seasonal peaks.

Expected output

Commit only against the conservative always-on baseline, preserve on-demand capacity for growth and peaks, and diversify purchase timing so renewal risk is not concentrated. Model coverage and utilization separately before optimizing headline discount...

Boundaries and compatibility

Ideal for

  • Commitment sizing: produce a decision or artifact grounded in supplied evidence.
  • Utilization-risk analysis: produce a decision or artifact grounded in supplied evidence.
  • Coverage planning: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Cutting redundancy without an SLO decision
  • Presenting list prices as realized savings

Agent compatibility

  • GitHub Copilot custom agents
  • Claude Agent Skills / SKILL.md
  • Any instruction-following chat model

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.