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Budget rebalance

Skill foxgeeek/adskills/.claude/skills/cross-platform/budget-rebalance

Claude Code Skills framework for multi-platform ad operations — Meta, Google, LinkedIn Ads from the terminal / Framework de Claude Code Skills pra gestão de tráfego multi-plataforma

Install
npx -y skills add foxgeeek/adskills --skill budget-rebalance

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Recommend budget reallocation across Meta, Google, and LinkedIn based on per-platform CPA efficiency. Computes efficiency score (bestCPA/platformCPA) and weights budget proportionally. Read-only — recommendations must be applied manually. Triggers on prompts about where to shift budget or which platform to scale.

SKILL.md

1.7 KB, 344 tokens by cl100k_base, as published. Nobody here has run it

Cross-Platform — Budget Rebalance

When to use

  • "Onde devo colocar mais budget?"
  • "Qual plataforma tá com melhor CPA agora?"
  • "Realoca $10k entre as 3 plataformas"

Inputs

  • --account — account ref
  • --budget — total budget to allocate (required)
  • --lookback — days (default 30)

Logic

  1. Fetch aggregated spend + conversions per platform over lookback days
  2. Compute CPA per platform = spend / conversions
  3. Efficiency = minCPA / platformCPA (best platform = 100%, worse = lower)
  4. Recommended allocation = (platformEfficiency / sumEfficiency) × totalBudget
  5. Delta = recommended - currentShare (where currentShare is today's spend distribution over the same budget)

Output

  • Summary cards: total budget, best CPA, lookback window
  • Table per platform: spend, conv, CPA, efficiency %, current share, recommended, Δ
  • Green/red deltas (green = give more, red = take away)

Invocation

adskills cross rebalance --account acme --budget 10000 --lookback 30

Guardrails

  • Read-only — never mutates budgets on any platform
  • Platforms with zero conversions are excluded from efficiency scoring (treated as 0%)
  • Requires at least one platform with conversions; aborts gracefully otherwise
  • Assumes conversion value parity across platforms — if conversion quality differs (e.g., MQL vs SQL), weight manually before applying

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