Plan and review paid-media budgets, bidding, pacing

Budget and Bidding

by AgriciDaniel · MIT license · ★ 9,466 on GitHub · updated Sep 18

Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms. Use for ad budget allocation, media budget, bidding strategy, scaling,…

---
name: ads-budget
description: "Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms. Use for ad budget allocation, media budget, bidding strategy, scaling, spend pacing, budget forecast, ROAS target, or investment tradeoffs."
---

# Budget and Bidding

1. Establish objective, conversion value, gross margin, cash constraints, sales
   capacity, attribution uncertainty, seasonality, and platform minimum evidence.
2. Normalize spend and outcomes to comparable windows and definitions.
3. Calculate break-even boundaries and show formulas, inputs, uncertainty, and
   sensitivity cases.
4. Distinguish committed baseline, controlled experiments, and reserve capacity.
5. Compare hold, reallocate, scale, reduce, or experiment options using marginal
   evidence rather than blended averages alone.
6. Return a decision-complete plan with platform/campaign amount, timing, owner,
   guardrails, success measure, and rollback trigger.

Overview

Rules such as 70/20/10, fixed CPA multiples, fixed budget-to-CPA ratios, and fixed percentage scaling are optional heuristics, never universal authorization.

Manual install (npx, ZIP)

Claude Codenpx skills add AgriciDaniel/claude-ads --skill ads-budget -g -a claude-code

Claude Code (manual)

mkdir -p ~/.claude/skills && curl -sL https://codeload.github.com/AgriciDaniel/claude-ads/tar.gz/ac2164493391 \
  | tar -xz -C ~/.claude/skills --strip-components=2 claude-ads-ac2164493391/skills/ads-budget

Windows (PowerShell)

New-Item -ItemType Directory -Force "$HOME\.claude\skills" | Out-Null; Invoke-WebRequest "https://m.agentalley.io/zip/5b4d3438e0adfb09de72/ads-budget.zip" -OutFile "$env:TEMP\ads-budget.zip"; Expand-Archive "$env:TEMP\ads-budget.zip" -DestinationPath "$HOME\.claude\skills" -Force

Claude.ai / desktopDownload the ZIP and upload it under Settings → Capabilities → Skills.

Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

SKILL.md1.2 KB

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AgriciDaniel/ac216441 file

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SKILL.md

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Budget and Bidding

Establish objective, conversion value, gross margin, cash constraints, sales capacity, attribution uncertainty, seasonality, and platform minimum evidence.
Normalize spend and outcomes to comparable windows and definitions.
Calculate break-even boundaries and show formulas, inputs, uncertainty, and sensitivity cases.
Distinguish committed baseline, controlled experiments, and reserve capacity.
Compare hold, reallocate, scale, reduce, or experiment options using marginal evidence rather than blended averages alone.
Return a decision-complete plan with platform/campaign amount, timing, owner, guardrails, success measure, and rollback trigger.

Rules such as 70/20/10, fixed CPA multiples, fixed budget-to-CPA ratios, and fixed percentage scaling are optional heuristics, never universal authorization.

1	---
2	name: ads-budget
3	description: "Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms. Use for ad budget allocation, media budget, bidding strategy, scaling, spend pacing, budget forecast, ROAS target, or investment tradeoffs."
4	---
5
6	# Budget and Bidding
7
8	1. Establish objective, conversion value, gross margin, cash constraints, sales
9	capacity, attribution uncertainty, seasonality, and platform minimum evidence.
10	2. Normalize spend and outcomes to comparable windows and definitions.
11	3. Calculate break-even boundaries and show formulas, inputs, uncertainty, and
12	sensitivity cases.
13	4. Distinguish committed baseline, controlled experiments, and reserve capacity.
14	5. Compare hold, reallocate, scale, reduce, or experiment options using marginal
15	evidence rather than blended averages alone.
16	6. Return a decision-complete plan with platform/campaign amount, timing, owner,
17	guardrails, success measure, and rollback trigger.
18
19	Rules such as 70/20/10, fixed CPA multiples, fixed budget-to-CPA ratios, and fixed
20	percentage scaling are optional heuristics, never universal authorization.
21
22