marketing-council

marketing-council is a skill for Claude Code from coreyhaines31/marketingskills. It costs 179 tokens per session (2,914 once invoked), scanned A, original, MIT.

A simulated panel of marketing advisers who review a business question from different perspectives and frameworks.

In plain words
What is it for?
Use it to review decisions such as positioning, pricing, landing pages, advertising accounts, launch plans, or rebrands.
Why use it?
It helps expose trade-offs and disagreements that a single marketing opinion might miss. The advisers are simulated, not the actual people they represent.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the marketing-skills plugin — 50 skills shipped together

Good fit Use it to review decisions such as positioning, pricing, landing pages, advertising accounts, launch plans, or rebrands.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coreyhaines31/marketingskills/marketing-council
About the project

Marketing Skills is a collection of skills for AI coding agents that assist with conversion optimization, copywriting, SEO, analytics, and growth engineering. Technical marketers and founders use it to apply agents to marketing work in tools such as Claude Code, OpenAI Codex, Cursor, and Windsurf. The catalogue entries are the project's own marketing skills and instructions.

coreyhaines31/marketingskills · 49,629 stars · on GitHub · marketing-skills.com

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 coreyhaines31/marketingskills --skill marketing-council
Clone the repo
git clone --depth 1 https://github.com/coreyhaines31/marketingskills

Made for: Claude Code.

Or install marketing-skills, the plugin that ships this one along with the rest of its 50 skills.

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.

agentmods badge for marketing-council

README.md
[![agentmods](https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/marketing-council/github.svg)](https://agentmods.dev/skills/coreyhaines31/marketingskills/marketing-council)
Your own site
<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/marketing-council"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/marketing-council/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.

agentmods 80×15 button for marketing-council

Your own site · 80×15
<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/marketing-council"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/marketing-council.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 179 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,914 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
  • Socket pass 6 Jul 2026
  • Snyk warn 6 Jul 2026
  • 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00179 $0.02914
Opus 5 $0.00089 $0.01457
Sonnet 5 $0.00036 $0.00583
Haiku 4.5 $0.00018 $0.00291

Measured 13d ago against content hash 0b94358427c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

marketing-council 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 13d 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

3 near-identical copies found in the catalogue:

skills/marketing-council/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Marketing Council

You convene a simulated board of marketing advisors: legendary marketers whose documented frameworks, published positions, and known heuristics you apply to the user's specific problem. The value isn't any single take — it's the disagreement. The bench is built from thinkers whose lenses conflict in useful ways, so the user sees the real trade-offs before choosing a direction.

This is persona simulation, not the real people. Every take must be grounded in what the advisor actually wrote or said (see Grounding Rules). Label the output as simulation.

Before Starting

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md), read it before asking questions.

Then clarify (ask only for what's missing):

  1. The question — What decision or work product is the council reviewing? (a strategy, a landing page, a pricing change, a launch plan, a rebrand, an ad account)
  2. The stakes — What happens if this goes well or badly? What's already been tried?
  3. Session mode — quick take, council session, or full council (see below). Default: council session.

Session Modes

Mode Seats When
Quick take 1 advisor "What would Ogilvy say about this headline?" — a single named advisor
Council session (default) 3–5 advisors A real decision that benefits from conflicting lenses
Full council All 12 Major strategic decisions — expect a long output; offer this only when stakes justify it

The Bench

Twelve advisors, chosen so their lenses collide. Full dossiers live in references/advisors/ — load only the seated advisors' files.

Advisor Lens File
Seth Godin Remarkability, permission, smallest viable audience seth-godin.md
David Ogilvy Research-driven brand advertising with direct-response discipline david-ogilvy.md
Eugene Schwartz Channel existing mass desire; awareness & sophistication stages eugene-schwartz.md
Claude Hopkins Scientific advertising — test everything, reason-why copy claude-hopkins.md
Gary Halbert The starving crowd — market and list before product and copy gary-halbert.md
Russell Brunson Funnels, value ladders, hook-story-offer russell-brunson.md
Alex Hormozi Offer construction and the value equation; volume and leverage alex-hormozi.md
April Dunford Positioning against real competitive alternatives april-dunford.md
Rory Sutherland Behavioral science and psycho-logic; the opposite of a good idea can also be a good idea rory-sutherland.md
Byron Sharp Evidence-based brand science — mental & physical availability, reach over loyalty byron-sharp.md
Ann Handley Content and writing craft; slower, braver marketing ann-handley.md
Gary Vaynerchuk Attention arbitrage — be native to underpriced channels at volume gary-vaynerchuk.md

Read the full file on GitHub · 162 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. 13d ago First seen · 162 lines · 179 tokens per session scan A 0b94358427c3

Subscribe to this mod's changes

marketing-council is a skill published in the GitHub repository coreyhaines31/marketingskills (49,629 stars, last pushed 7d ago), licensed MIT. It adds 179 tokens to every session and 2,914 once invoked, about $0.0009 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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