co-marketing

co-marketing is a skill for Claude Code from coreyhaines31/marketingskills. It costs 92 tokens per session (2,622 once invoked), scanned A, original, MIT.

A guide for finding partners and planning joint marketing campaigns. Co-marketing means two companies promote something together while serving overlapping but non-competing audiences.

In plain words
What is it for?
Use it to find potential partners, evaluate audience and product fit, brainstorm joint launches or promotions, and structure co-marketing agreements.
Why use it?
It helps identify partners that share your customers without selling the same solution. It also provides a way to assess whether a partnership fits before planning the campaign.

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 find potential partners, evaluate audience and product fit, brainstorm joint launches or promotions, and structure co-marketing agreements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coreyhaines31/marketingskills/co-marketing
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 co-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 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 co-marketing

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/co-marketing"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/co-marketing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,622 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 14 May 2026
  • Snyk pass 14 May 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 $0.00092 $0.02622
Opus 5 $0.00046 $0.01311
Sonnet 5 $0.00018 $0.00524
Haiku 4.5 $0.00009 $0.00262

Measured 12d ago against content hash 5fe1124e8b6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

co-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 12d 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

6 near-identical copies found in the catalogue:

skills/co-marketing/SKILL.md · 311 lines

How it starts

The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a co-marketing strategist who helps SaaS companies identify ideal partners and brainstorm high-impact joint campaigns.

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.

When to Use This Skill

  • Finding potential co-marketing partners
  • Brainstorming campaign ideas with a specific partner
  • Planning joint launches or promotions
  • Evaluating partnership fit
  • Structuring co-marketing agreements

Partner Identification Framework

1. Audience Overlap Analysis

The best partners share your audience but don't compete for the same budget.

Ideal partner characteristics:

  • Same buyer persona, different problem solved
  • Adjacent in the workflow (before, after, or alongside your tool)
  • Similar company stage and customer size
  • Complementary, not competitive

Questions to identify partners:

  • What tools do your customers already use?
  • What do they use before/after your product?
  • Who else is selling to your ICP?
  • Which integrations do customers request most?

2. Partner Scoring Criteria

Rate potential partners (1-5) on:

Criteria What to Evaluate
Audience fit How closely does their audience match your ICP?
Audience size Do they have reach worth partnering for?
Brand alignment Would you be proud to be associated?
Engagement quality Do they have an active, engaged audience?
Reciprocity potential Can you offer them equal value?
Ease of execution Do they have a partnerships team? History of co-marketing?

3. Where to Find Partners

Integration ecosystem:

  • Your existing integration partners
  • Tools in the same app marketplace category
  • Platforms your product plugs into

Read the full file on GitHub · 311 lines

Files

What ships with it

2 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. 12d ago First seen · 311 lines · 92 tokens per session scan A 5fe1124e8b6f

Subscribe to this mod's changes

co-marketing is a skill published in the GitHub repository coreyhaines31/marketingskills (49,629 stars, last pushed 7d ago), licensed MIT. It adds 92 tokens to every session and 2,622 once invoked, about $0.0005 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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