cross-platform-ad-strategy

A planning guide for paid advertising across multiple channels, from first awareness to purchase. It maps each channel, budget, message, and success measure to a stage of the customer journey, with specific guidance for the Israeli market.

In plain words
What is it for?
Use it to plan channel budgets, bidding, creative tests, funnel KPIs, and measurement for paid campaigns. It can also help build an Israel-focused media plan using Hebrew and right-to-left creative.
Why use it?
It helps prevent ad campaigns from being planned separately, with unclear budgets or mismatched measures of success. It also addresses local language, currency, platforms, holidays, and advertising restrictions.

Skill for Claude CodeCodex

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/squadcodercom/squadcoder/cross-platform-ad-strategy
Any agent
npx skills add squadcodercom/squadcoder --skill cross-platform-ad-strategy
Clone the repo
git clone --depth 1 https://github.com/squadcodercom/squadcoder

Made for: Claude Code, Codex.

Per session 192 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,632 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.

ModelPer sessionOnce invoked
Fable 5 $0.00192 $0.03632
Opus 5 $0.00096 $0.01816
Sonnet 5 $0.00038 $0.00726
Haiku 4.5 $0.00019 $0.00363

Measured 2d ago against content hash b904502f73da, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cross-platform-ad-strategy 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 2d 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.

.squadcoder/skills/cross-platform-ad-strategy/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cross-Platform Ad Strategy & Media Planning

Plan paid media as a portfolio, not a pile of disconnected campaigns. Every shekel is mapped to a funnel stage, a channel that wins that stage, a KPI that judges it, and a measurement plan that proves it actually moved the business. This skill is the conductor — it sequences the per-platform skills (Google, Meta, TikTok, LinkedIn, YouTube), ad-measurement-tracking, sc:ad-copywriting, and sc:image-gen-prompting into one coherent plan.

Step 0 — gather the brief (ask if missing)

  • Business & offer: product, AOV/LTV, gross margin, sales cycle length, lead-to-customer rate.
  • Goal & primary KPI: revenue/ROAS, CPA, qualified leads, app installs, store visits, awareness/reach.
  • Total budget & horizon: monthly spend in NIS, flighting (always-on vs bursts), seasonality.
  • Constraints: target CPA/ROAS, min/max per channel, brand-safety rules, regulated vertical (finance, health, gambling — restricted on most platforms in IL).
  • Maturity: existing pixel/CAPI data, email/CRM list size, retargeting pool size, prior winners.
  • Market: Hebrew/Israel? B2C or B2B? National or local? — see Israeli-market section.

If the offer or margin is unknown, you cannot set a defensible target CPA. Ask before planning.

1. The funnel → channel map

Map each stage to the channels that structurally win it. A channel can serve multiple stages with different campaign types.

Stage Job Best-fit channels Campaign / inventory
Awareness (TOF) Reach cold audience cheaply, build brand YouTube, Meta (Reels/Stories), TikTok, CTV/OTT, programmatic display Video views, reach, ThruPlay, Demand Gen
Consideration (MOF) Earn intent, get clicks/engagement, build retargeting pools Meta traffic/engagement, TikTok, YouTube in-feed, Discovery/Demand Gen, Google non-brand search Traffic, lead forms, in-feed video
Conversion (BOF) Capture demand, close Google Search (brand + high-intent non-brand), Shopping/PMax, Meta Advantage+ Shopping, retargeting (DPA), Microsoft Ads Conversions, sales, Performance Max
Retention/Loyalty (post-purchase) Repeat, cross-sell, win-back, advocacy Email/SMS (owned), CRM-match audiences, lifecycle retargeting, loyalty offers Customer-match, DPA cross-sell

Read the full file on GitHub · 135 lines

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.

  1. 2d ago First seen · 135 lines · 192 tokens per session scan A b904502f73da

Subscribe to this mod's changes

cross-platform-ad-strategy is a skill published in the GitHub repository squadcodercom/squadcoder (11 stars, last pushed 2mo ago), licensed MIT. It adds 192 tokens to every session and 3,632 once invoked, about $0.0010 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.

Related

Other skills, from other repositories

write-zot-themes

Help the user create, install, or package zot themes, including theme-only extensions.

patriceckhart/zot · 23 tokens

python-testing

Python testing best practices using pytest including fixtures, parametrization, mocking, coverage analysis, async testing, and test organization. Use when writing or improving Python tests.

mturac/everything-openai-codex · 35 tokens

database-migrations

Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Django, TypeORM, golang-migrate). Use when planning or implementing database schema changes.

mturac/everything-openai-codex · 61 tokens

docker-patterns

Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration. Use when setting up containerized development environments or reviewing Docker configurations.

mturac/everything-openai-codex · 40 tokens

python-patterns

Python-specific design patterns and best practices including protocols, dataclasses, context managers, decorators, async/await, type hints, and package organization. Use when working with Python code to apply Pythonic patterns.

mturac/everything-openai-codex · 45 tokens

st-full-workflow

Use when the user asks to run the complete end-to-end Strikethroo workflow for a work order in one shot in this repository — triggers include full workflow, end-to-end, plan and execute, do everything, run the whole strikethroo workflow. Do not use when the user wants only one stage (create a plan, generate tasks, or…

e0ipso/strikethroo · 90 tokens