claude

finops-practitioner

Inventory AI spend, allocate costs to teams, compute cost-per-successful-task, and draft spend reports and renewal briefs

31 on GitHubby The AI Career Labv1.0.0MITupdated 1 month agobusiness
/

Plugin finops-practitioner from marketplace awesome-claude-cowork-plugins in alexclowe/awesome-claude-cowork-plugins. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (2)

  • ai-billing-models

    AI vendor billing-model fluency — auto-activates when normalizing, comparing, or forecasting AI spend across seats, usage, credits, and reserved capacity

  • ai-unit-economics

    AI unit-economics discipline — auto-activates when evaluating whether AI spend is worth it, pushing from tokens and requests to cost-per-successful-outcome

Slash commands (5)

  • /finops-practitioner:ai-spend-inventory

    Consolidate AI subscriptions, API usage, credits, and embedded AI into one normalized spend inventory with owners, renewal dates, and flags

  • /finops-practitioner:ai-spend-report

    Draft an executive-ready monthly AI spend report — headline, drivers, per-team view, anomalies, and decisions needed

  • /finops-practitioner:allocate-ai-costs

    Turn consolidated AI bills into a team-level showback or chargeback allocation with explicit rules and an unallocated remainder

  • /finops-practitioner:cost-per-task

    Compute cost-per-successful-task unit economics from usage and cost data, including retries, failures, and quality thresholds

  • /finops-practitioner:vendor-renewal-brief

    Build a renewal negotiation brief for an AI vendor — utilization evidence, consolidation options, ask list, and walk-away position

View source on GitHub theaicareerlab.com

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