---
name: Ads Plan
slug: ads-plan
category: Automation
description: Ads Plan creates a paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, and experiments. Use it for media plans, PPC, paid social, or channel planning.
github: "https://github.com/AgriciDaniel/claude-ads/tree/main/skills/ads-plan"
language: Python
stars: 8065
forks: 1200
install: "npx degit https://github.com/AgriciDaniel/claude-ads/tree/main/skills/ads-plan ~/.claude/skills/ads-plan"
installs_to: ~/.claude/skills/ads-plan
source_path: skills/ads-plan/SKILL.md
collection_size: 25
category_size: 1523
collection_url: "https://dirskills.com/collections/AgriciDaniel/claude-ads"
added: 2026-08-15T06:51:14.742Z
last_synced: 2026-08-15T06:51:14.742Z
canonical_url: "https://dirskills.com/skills/ads-plan"
---

# Ads Plan

Ads Plan creates a paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, and experiments. Use it for media plans, PPC, paid social, or channel planning.

**Install:**

```bash
npx degit https://github.com/AgriciDaniel/claude-ads/tree/main/skills/ads-plan ~/.claude/skills/ads-plan
```

## README

# Paid Media Plan

1. Read the setup profile, business economics, evidence, current account state, and
   relevant industry template as optional input.
2. Define objective, customer, offer, conversion, value, constraints, geography,
   regulated category, time horizon, and success criteria.
3. Evaluate channel roles and exclusions from first principles; do not require every
   supported platform. For a channel outside the twelve-platform contract, load
   `ads/references/additional-platforms.md` and return a research lead unless
   its current buying, eligibility, measurement, and creative evidence is present.
4. Specify campaign architecture, audience strategy, creative system, budget and
   pacing, measurement, experiments, policy controls, and operating cadence.
5. Phase prerequisites before launch, learning, optimization, and scale.
6. Assign every action an owner, timing, dependency, guardrail, evidence, success
   measure, and rollback or exit condition.
7. Return canonical JSON and render the requested human plan.

A plan is advisory. It becomes an account change only through launch or optimize
mutation gates.