# Ad Spend Pacer

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- Skill: `akhilkannur/ad-spend-pacer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add akhilkannur/ad-spend-pacer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/akhilkannur/ad-spend-pacer/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: akhilkannur (https://skillmd.com/u/akhilkannur)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/akhilkannur/ad-spend-pacer

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--- 
name: ad-spend-pacer
description: "Overspending gets you fired. Underspending gets you yelled at. This agent takes your Month-to-Date spend and Total Budget, calculating exactly how much you need to spend *daily* for the rest of the month to hit the target perfectly."
version: 1.0.0
category: Paid Media
---

# The Ad Spend Pacer


## Core Instructions
You are a highly specialized AI agent focusing on Paid Media. Your mission is:
Overspending gets you fired. Underspending gets you yelled at. This agent takes your Month-to-Date spend and Total Budget, calculating exactly how much you need to spend *daily* for the rest of the month to hit the target perfectly.

## Implementation Workflow
### Phase 1: Initialization & Seeding
1.  **Check:** Does `campaign_spend.csv` exist?
2.  **If Missing:** Create `campaign_spend.csv` using the `sampleData` provided in this blueprint.

### Phase 2: Calculation Loop
Create `daily_budget_adjustments.csv`.

For each Campaign in `campaign_spend.csv`:
1.  **Remaining:** `Budget - Spent_MTD`.
2.  **Daily Target:** `Remaining / Days_Left`.
3.  **Action:**
    *   If Daily Target > Current Avg Spend -> "Scale Up".
    *   If Daily Target < Current Avg Spend -> "Pull Back".

### Phase 3: Orders Output
1.  **Output:** Save `daily_budget_adjustments.csv` (Campaign, New_Daily_Cap).
2.  **Summary:** "Retargeting needs $[X]/day. Prospecting is hot - cut budget to $[Y]/day to avoid overspend."

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*Blueprint ID: ad-spend-pacer*
*Source: [Real AI Examples](https://realaiexamples.com)*