A plan for paid advertising that covers platform choice, campaign structure, budgets, advertising content, and a staged rollout. Paid advertising means paying platforms to show messages to selected audiences.

Use it to create an advertising, media, PPC, or campaign plan for goals such as awareness, leads, online sales, or app installs.

It organizes business goals, audience, budget, competition, tracking, and team capacity before campaigns are built.

ads-plan — Skill for Claude Code and Codex by citedy: A plan for paid advertising that covers platform choice…

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.

agentmods

npx agentmods add skills/citedy/adclaw/ads-plan

Any agent

npx skills add citedy/adclaw --skill ads-plan

Clone the repo

git clone --depth 1 https://github.com/citedy/adclaw

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/citedy/adclaw/ads-plan.svg)](https://agentmods.dev/skills/citedy/adclaw/ads-plan)

Your own site

<a href="https://agentmods.dev/skills/citedy/adclaw/ads-plan"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/ads-plan.svg" alt="Measured on agentmods" height="20"></a>

Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,676 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found 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	$0.00054	$0.01676
Opus 5	$0.00027	$0.00838
Sonnet 5	$0.00011	$0.00335
Haiku 4.5	$0.00005	$0.00168

Measured 6d ago against content hash 7ee9104548f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 6d 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

Copies of this mod

1 near-identical copy found in the catalogue:

ads-plan — 95% identical, 55 lines differ

src/adclaw/agents/skills/ads-plan/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 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-shared/references/budget-allocation.md for platform selection matrix
Read ads-shared/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 · 175 lines

Files

What ships with it

12 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.

6d ago First seen · 175 lines · 54 tokens per session scan A 7ee9104548f0

Subscribe to this mod's changes

ads-plan is a skill published in the GitHub repository citedy/adclaw (35 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,676 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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ads-plan

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

Copies of this mod

How it starts

Strategic Paid Advertising Plan

Process

1. Discovery

2. Competitive Analysis

3. Platform Selection

4. Campaign Architecture

Naming Convention

Campaign Structure Template

What ships with it

What this file has done since we first saw it

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