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reverse-engineer-marketing

reverse-engineer-marketing is a skill for Claude Code from coreyhaines31/marketingskills. It costs 93 tokens per session (6,328 once invoked), scanned A, original, MIT.

A research workflow for reconstructing how another company grew from public evidence. It produces a dated account of the company's growth, compares it with the user's numbers, and identifies possible marketing actions.

In plain words
What is it for?
It helps investigate marketing campaigns, customer acquisition, growth periods, and tactics that may be relevant to the user's company.
Why use it?
It separates a history of how a company grew from a simple description of what the company does today. This helps replace guesses about growth with evidence and dates.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the marketing-skills plugin — 53 skills shipped together

not rated 60krepo +993 changed 2d ago A scan Socket: passSnyk: warn 93 tokens original MIT

Good fit It helps investigate marketing campaigns, customer acquisition, growth periods, and tactics that may be relevant to the user's company.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coreyhaines31/marketingskills/reverse-engineer-marketing
View source ↗ coreyhaines31/marketingskills marketing-skills.com
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 · 59,974 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 reverse-engineer-marketing
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 53 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 reverse-engineer-marketing

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/reverse-engineer-marketing"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/reverse-engineer-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,328 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 10 Nov 2026
  • Snyk warn 10 Nov 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 $0.00093 $0.06328
Opus 5.5 $0.00037 $0.02531
Sonnet 5.5 $0.00019 $0.01266
Haiku 4.5 $0.00009 $0.00633

Measured 2d ago against content hash bb9eab9aeb61, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reverse-engineer-marketing 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/teardown.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/reverse-engineer-marketing/SKILL.md · 317 lines

How it starts

The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reverse Engineer Marketing

You are a growth analyst who works out how companies grew from public evidence. Your goal is to hand back four things: when the company grew, what it did around those months, how the user's own numbers compare, and which plays to run next, each routed to the skill that does the work.

A teardown is a history, not a profile. competitor-profiling describes what a company is today. This skill explains how it got there, in date order.

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 filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask for anything missing before the first paid call):

  1. Target. The company's domain. No target → suggest three fast-growing companies in the user's category and let them pick.
  2. Mode. See the table below.
  3. Window. Default: the last 24 months, or since launch if the company is younger.
  4. The user's company. Domain, category, stage (pre-launch, early revenue, scaling), and the channels they have capacity to run. Plays are filtered by fit.
  5. The user's data. Which of their own sources are connected: Search Console, GA4 or another analytics tool, ad accounts, social accounts. These power the gap step.
  6. Data tools and budget. Which paid sources they have (see references/data-sources.md) and a cap for paid calls (default $5).
  7. Country. For traffic and keyword estimates. Default: US.

Modes

Mode Use when Runs
Teardown (default) "How did X grow," "what should we copy" All nine stages; stage 3 only with approval
Content Only titles, thumbnails, hooks, carousels, "what content works for X" Handles from stage 2, then stage 6
Quick A first look, a small budget, prep for a call Stage 1 and the free stage 5 commands, stage 2 headlines, stage 9 with five plays
Funnel Hack "Map their whole funnel," "what are their upsells," "how do they sell" Stage 3 with purchases, using references/funnel-hack.md
Landscape "What is everyone in my category doing," several competitors, picking who to study compare across three to five competitors, using references/landscape.md
Watch Ongoing monitoring of a company already torn down The monthly diff in the Watch Mode section

Read the full file on GitHub · 317 lines

Files

What ships with it

44 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.

  1. 2d ago Changed · -3 tokens per session bb9eab9aeb61
  2. 3d ago Changed · -135 tokens per session 229c49638572
  3. 6d ago Changed · +12 lines · +13 tokens per session b1fe5dd20092
  4. 13d ago First seen · 305 lines · 218 tokens per session scan A f953c0fa84c3

Subscribe to this mod's changes

reverse-engineer-marketing is a skill published in the GitHub repository coreyhaines31/marketingskills (59,974 stars, last pushed yesterday), licensed MIT. It adds 93 tokens to every session and 6,328 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 2026-10-31.

Marketing and SEOResearchagent-skillsai-agentsai-seoclaudecodexmarketing
Related

reverse-engineer-marketing compared with skills from other repositories

reverse-engineer-marketing next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
reverse-engineer-marketingcoreyhaines31/marketingskillsSkill60kyesterdayMITA93Claude Code
marketing-skillsh3rb3rn/moe-sovereignSkill111mo agoApache-2.0A66Claude Code, Codex
marketing-skillsferdinandruthben12-dotcom/535-skillsSkill22mo agononeA66Claude Code
marketing-skillsartubss/SKILLS-CLAUDE-CODESkill126mo agononeA55Claude Code, Codex
magazine-web-pptnexu-io/open-designSkill107ktodayApache-2.0A67Claude Code, Codex
html-ppt-zhangzara-coralnexu-io/open-designSkill107ktodayApache-2.0A55Claude Code, Codex
product-launchgenspark-ai/genofficeSkill12kyesterdayApache-2.0A27Claude Code, Codex