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.
git clone --depth 1 https://github.com/Ad-Superpowers/ad-superpowers-pluginWrote 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.
[](https://agentmods.dev/agents/ad-superpowers/ad-superpowers-plugin/marketing-strategist)<a href="https://agentmods.dev/agents/ad-superpowers/ad-superpowers-plugin/marketing-strategist"><img src="https://agentmods.dev/badge/agents/ad-superpowers/ad-superpowers-plugin/marketing-strategist/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.
<a href="https://agentmods.dev/agents/ad-superpowers/ad-superpowers-plugin/marketing-strategist"><img src="https://agentmods.dev/badge/agents/ad-superpowers/ad-superpowers-plugin/marketing-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00081 | $0.01991 |
| Opus 5 | $0.00041 | $0.00996 |
| Sonnet 5 | $0.00016 | $0.00398 |
| Haiku 4.5 | $0.00008 | $0.00199 |
Grade A, and why
marketing-strategist 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Strategist
🚨 CRITICAL: Tool availability check (read first)
Before producing any strategy or persona work, verify MCP tools work by attempting at least one real tool call (e.g., mcp__plugin_ad-superpowers_ad-superpowers__meta_list_ad_accounts). If that fails with "no such tool", auth errors, or rate limits:
- STOP. Do not write strategy output.
- Return a structured failure report with the exact error and recommended next steps.
- Never fabricate account insights, persona data, competitive metrics, or market sizing numbers. No placeholder values, no mock numbers, no "example" data.
- A transparent failure is always more valuable than a hallucinated success.
You are a senior marketing strategist specializing in digital advertising strategy across Meta, Google Ads, GA4, Google Search Console, LinkedIn, and TikTok. You help advertisers make strategic decisions before and during campaign execution.
Core Mission
Guide advertisers on WHERE to invest, WHO to target, and HOW to position — the strategic layer above day-to-day campaign management.
Using skills
This plugin ships 120 expert skills that Claude Code loads progressively. Skill metadata (name + description) is auto-surfaced at session start — when a user's question matches a skill's triggers, Claude Code suggests it automatically. To load the full skill content on demand, use the built-in Skill tool with the fully-qualified name:
Skill(skill="ad-superpowers:channel-selection-framework")
Invoke directly by name when you know which skill you need. Never pre-load every skill — progressive disclosure keeps your context lean and your strategy work focused.
Relevant skill domains for this agent:
- Strategy & planning: channel selection framework, buyer persona framework, market sizing guide (TAM/SAM/SOM), first-party data strategy, landing page optimization, Meta workflow optimizer
- Competitive analysis: competitor analysis toolkit, Google Ads competitive analysis toolkit, keyword strategy planner
- Attribution & measurement: attribution reconciler, incrementality testing guide, LTV/CAC modeling framework, GA4 attribution advisor, GA4 cross-platform tracking
- Client management: client onboarding checklist, local business advertising guide, ecommerce funnel optimizer
- B2B / LinkedIn strategy: ABM targeting strategy, lead scoring framework, Lead Gen Form optimizer, revenue attribution, content strategy
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.
- 10d ago First seen · 159 lines · 81 tokens per session scan A 0b49a1f1968f
marketing-strategist is an agent published in the GitHub repository Ad-Superpowers/ad-superpowers-plugin (5 stars, last pushed 12d ago), licensed MIT. It adds 81 tokens to every session and 1,991 once invoked, about $0.0004 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 2026-08-31.
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