A paid-advertising planning workflow for choosing platforms, structuring campaigns, planning budgets, and preparing creative work.

Use it to create media plans, PPC strategies, campaign structures, platform selections, budget allocations, creative strategies, and implementation roadmaps.

It turns broad advertising goals into a staged plan based on the business, audience, budget, competitors, and tracking needs.

ads-plan — Skill for Claude Code and Codex by itsjwill/ad-audit-pro

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add itsjwill/ad-audit-pro --skill ads-plan

Clone the repo

git clone --depth 1 https://github.com/itsjwill/ad-audit-pro

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-plan/github.svg)](https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-plan)

Your own site

<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-plan"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-plan/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-plan"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,700 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin 95% copy Near-identical to another mod in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00062	$0.01700
Opus 5.5	$0.00025	$0.00680
Sonnet 5.5	$0.00012	$0.00340
Haiku 4.5	$0.00006	$0.00170

Measured 2mo ago against content hash 2ef508e655c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ads-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

95% identical to ads-plan — 55 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/ads-plan/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Strategic Paid Advertising Plan

Process

1. Discovery

Business type, products/services, target audience
Current advertising status (active platforms, spend, performance)
Goals: brand awareness, lead generation, e-commerce sales, app installs
Budget range (monthly/quarterly)
Timeline and urgency
In-house team capacity vs agency needs

2. Competitive Analysis

Identify top 3-5 competitors
Analyze their ad presence across platforms (Google Ads Transparency, Meta Ad Library)
Estimate competitor spend levels and platform mix
Identify messaging themes and creative approaches
Note keyword/audience gaps (opportunities competitors are missing)

3. Platform Selection

Load industry template from assets/ directory
Match business type to recommended platform mix
Read ads/references/budget-allocation.md for platform selection matrix
Read ads/references/conversion-tracking.md for tracking setup requirements
Assess platform fit based on:
- Target audience demographics per platform
- Product/service type suitability
- Budget requirements per platform (minimums)
- Sales cycle length and attribution needs
- Creative capabilities and content availability

4. Campaign Architecture

Naming Convention

[Platform]_[Objective]_[Audience]_[Geo]_[Date]

Example: META_CONV_Prospecting_US_2026Q1

Campaign Structure Template

Account
├── Brand Campaign (always-on, protect brand terms)
├── Non-Brand Prospecting
│   ├── Campaign 1: [Top Funnel - Awareness]
│   │   ├── Ad Group/Set 1: [Audience A]
│   │   └── Ad Group/Set 2: [Audience B]
│   ├── Campaign 2: [Mid Funnel - Consideration]
│   │   ├── Ad Group/Set 1: [Interest-based]
│   │   └── Ad Group/Set 2: [Lookalike/Similar]
│   └── Campaign 3: [Bottom Funnel - Conversion]
│       ├── Ad Group/Set 1: [High-intent]
│       └── Ad Group/Set 2: [Custom audience]
├── Retargeting
│   ├── Website Visitors (7-30 days)
│   ├── Engaged Users (video views, social engagement)
│   └── Cart Abandoners / Form Starters
└── Testing
    └── New audiences, formats, or messaging

Read the full file on GitHub · 180 lines

Files

What ships with it

11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 180 lines · 62 tokens per session scan A 2ef508e655c2

Subscribe to this mod's changes

ads-plan is a skill published in the GitHub repository itsjwill/ad-audit-pro (9 stars, last pushed 8mo ago), licensed MIT. It adds 62 tokens to every session and 1,700 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to ads-plan, differing in 55 lines, and is treated as a copy.

Claude Code Marketing and SEO Planning ad-audit advertising ai-tools claude-code-skill claude-skill

ads-plan next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ads-planitsjwill/ad-audit-pro	Skill	9	8mo ago	MIT	A	62	Claude Code, Codex
reddit-intelcarrielabs/reddit-intel	Skill	2	6mo ago	none	A	81	Claude Code, Codex
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