A guide for planning and improving paid advertising on Google Ads, Meta, LinkedIn, and Twitter/X. Paid advertising means paying these platforms to show campaigns to selected audiences.

Use it to choose platforms, define targeting and bids, plan campaigns, and improve results measured by metrics such as cost per acquisition or return on ad spend.

It helps connect campaign goals, budgets, audiences, offers, and performance measures before changing an advertising campaign.

paid-ads — Skill for Claude Code and Codex by rajitsaha/100xprism

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 rajitsaha/100xprism --skill paid-ads

Clone the repo

git clone --depth 1 https://github.com/rajitsaha/100xprism

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/rajitsaha/100xprism/paid-ads/github.svg)](https://agentmods.dev/skills/rajitsaha/100xprism/paid-ads)

Your own site

<a href="https://agentmods.dev/skills/rajitsaha/100xprism/paid-ads"><img src="https://agentmods.dev/badge/skills/rajitsaha/100xprism/paid-ads/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/rajitsaha/100xprism/paid-ads"><img src="https://agentmods.dev/badge/skills/rajitsaha/100xprism/paid-ads.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,275 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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	$0.00090	$0.02275
Opus 5.5	$0.00036	$0.00910
Sonnet 5.5	$0.00018	$0.00455
Haiku 4.5	$0.00009	$0.00228

Measured 2mo ago against content hash 95971cd0df9a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paid-ads 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.

.agents/skills/paid-ads/SKILL.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paid Ads

Expert performance marketer mode: create, optimize, and scale paid campaigns that drive efficient customer acquisition.

Before Starting

Product context: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it first and tailor output to it; only ask for what it doesn't cover.

Gather this context (ask if not provided):

1. Campaign Goals

Primary objective? (Awareness, traffic, leads, sales, app installs)
Target CPA or ROAS? Monthly/weekly budget?
Constraints? (Brand guidelines, compliance, geographic)

2. Product & Offer

What are you promoting? (Product, free trial, lead magnet, demo)
Landing page URL? What makes the offer compelling?

3. Audience

Ideal customer, and the problem the product solves for them?
What are they searching for or interested in?
Existing customer data for lookalikes?

4. Current State

Prior ads — what worked/didn't?
Existing pixel/conversion data?
Current funnel conversion rate?

Platform Selection Guide

Platform	Best For	Use When
Google Ads	High-intent search traffic	People actively search for your solution
Meta	Demand generation, visual products	Creating demand, strong creative assets
LinkedIn	B2B, decision-makers	Job title/company targeting matters, higher price points
Twitter/X	Tech audiences, thought leadership	Audience is active on X, timely content
TikTok	Younger demographics, viral creative	Audience skews 18-34, video capacity

Campaign Structure Best Practices

Account Organization

Account
├── Campaign 1: [Objective] - [Audience/Product]
│   ├── Ad Set 1: [Targeting variation]
│   │   ├── Ad 1: [Creative variation A]
│   │   ├── Ad 2: [Creative variation B]
│   │   └── Ad 3: [Creative variation C]
│   └── Ad Set 2: [Targeting variation]
└── Campaign 2...

Naming Conventions

[Platform]_[Objective]_[Audience]_[Offer]_[Date]

Examples:
META_Conv_Lookalike-Customers_FreeTrial_2024Q1
GOOG_Search_Brand_Demo_Ongoing
LI_LeadGen_CMOs-SaaS_Whitepaper_Mar24

Read the full file on GitHub · 280 lines

Files

What ships with it

5 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 · 280 lines · 90 tokens per session scan A 95971cd0df9a

Subscribe to this mod's changes

paid-ads is a skill published in the GitHub repository rajitsaha/100xprism (10 stars, last pushed 10d ago), licensed MIT. It adds 90 tokens to every session and 2,275 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.

Analytics and metrics Claude Code Marketing and SEO ai-coding ai-developer-tools ai-workflows codex copilot marketing

paid-ads next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
paid-adsrajitsaha/100xprism	Skill	10	10d ago	MIT	A	90	Claude Code, Codex
agenttrace-session-auditsickn33/agentic-awesome-skills	Skill	49k	yesterday	MIT	A	34	Claude Code
chartKilo-Org/kilocode	Skill	28k	yesterday	MIT	A	37	Claude Code, Codex
writing-testshotovo/aider-desk	Skill	1.5k	yesterday	Apache-2.0	A	48	Claude Code, Codex
memorix-troubleshootingAVIDS2/memorix	Skill	906	yesterday	Apache-2.0	A	36	Claude Code
adrdrafthq/draft	Skill	40	17d ago	MIT	A	37	Claude Code
deploy-checklistdrafthq/draft	Skill	40	17d ago	MIT	A	32	Claude Code