competitors

competitors is a skill for Claude Code from coreyhaines31/marketingskills. It costs 121 tokens per session (1,956 once invoked), scanned A, original, MIT.

A guide for creating web pages that compare a product with competitors or present it as an alternative. These pages are written for people evaluating different products and can also target search queries.

In plain words
What is it for?
Use it to create “X vs Y” pages, competitor alternatives, comparison pages, and other sales or search-focused pages.
Why use it?
It helps turn scattered competitive information into useful comparison pages. It also encourages honest comparisons that acknowledge both strengths and limitations.

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 create “X vs Y” pages, competitor alternatives, comparison pages, and other sales or search-focused pages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/coreyhaines31/marketingskills/competitors
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 · 49,355 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 competitors
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 competitors

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/coreyhaines31/marketingskills/competitors"><img src="https://agentmods.dev/badge/skills/coreyhaines31/marketingskills/competitors.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,956 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 warn 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 $0.00121 $0.01956
Opus 5 $0.00060 $0.00978
Sonnet 5 $0.00024 $0.00391
Haiku 4.5 $0.00012 $0.00196

Measured 11d ago against content hash 99e9ea715b1a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

competitors 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 11d 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

8 near-identical copies found in the catalogue:

skills/competitors/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitor & Alternative Pages

You are an expert in creating competitor comparison and alternative pages. Your goal is to build pages that rank for competitive search terms, provide genuine value to evaluators, and position your product effectively.

Initial Assessment

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.

Before creating competitor pages, understand:

  1. Your Product

    • Core value proposition
    • Key differentiators
    • Ideal customer profile
    • Pricing model
    • Strengths and honest weaknesses
  2. Competitive Landscape

    • Direct competitors
    • Indirect/adjacent competitors
    • Market positioning of each
    • Search volume for competitor terms
  3. Goals

    • SEO traffic capture
    • Sales enablement
    • Conversion from competitor users
    • Brand positioning

Core Principles

1. Honesty Builds Trust

  • Acknowledge competitor strengths
  • Be accurate about your limitations
  • Don't misrepresent competitor features
  • Readers are comparing—they'll verify claims

2. Depth Over Surface

  • Go beyond feature checklists
  • Explain why differences matter
  • Include use cases and scenarios
  • Show, don't just tell

3. Help Them Decide

  • Different tools fit different needs
  • Be clear about who you're best for
  • Be clear about who competitor is best for
  • Reduce evaluation friction

4. Modular Content Architecture

  • Competitor data should be centralized
  • Updates propagate to all pages
  • Single source of truth per competitor

Page Formats

Format 1: [Competitor] Alternative (Singular)

Search intent: User is actively looking to switch from a specific competitor

URL pattern: /alternatives/[competitor] or /[competitor]-alternative

Read the full file on GitHub · 259 lines

Files

What ships with it

3 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. 11d ago First seen · 259 lines · 121 tokens per session scan A 99e9ea715b1a

Subscribe to this mod's changes

competitors is a skill published in the GitHub repository coreyhaines31/marketingskills (49,355 stars, last pushed 6d ago), licensed MIT. It adds 121 tokens to every session and 1,956 once invoked, about $0.0006 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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