competitor-pages

competitor-pages is a skill for Claude Code from indranilbanerjee/digital-marketing-pro. It costs 28 tokens per session (1,872 once invoked), scanned A, original, MIT.

A template for pages that compare products or services, such as one product versus another, alternatives to a product, or a list of tools in a category. It includes comparison content, search targeting, links between pages, and structured data for search engines.

In plain words
What is it for?
Use it to create head-to-head comparisons, alternatives lists, category roundups, and feature tables. It supports choosing comparison criteria, writing page content, and preparing search-engine metadata and schema.
Why use it?
It gives comparison pages a repeatable structure instead of leaving the writer to decide what to compare and how to organise it. This helps address searches made by people evaluating purchase options.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths.

Part of the digital-marketing-pro plugin — 164 skills, 5 commands, 24 agents shipped together

Good fit Use it to create head-to-head comparisons, alternatives lists, category roundups, and feature tables. It supports choosing comparison criteria, writing page content, and preparing search-engine metadata and schema.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/indranilbanerjee/digital-marketing-pro/competitor-pages
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 indranilbanerjee/digital-marketing-pro --skill competitor-pages
Clone the repo
git clone --depth 1 https://github.com/indranilbanerjee/digital-marketing-pro

Made for: Claude Code.

Or install digital-marketing-pro, the plugin that ships this one along with the rest of its 164 skills, 5 commands, 24 agents.

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 competitor-pages

README.md
[![agentmods](https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/competitor-pages/github.svg)](https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/competitor-pages)
Your own site
<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/competitor-pages"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/competitor-pages/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 competitor-pages

Your own site · 80×15
<a href="https://agentmods.dev/skills/indranilbanerjee/digital-marketing-pro/competitor-pages"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/digital-marketing-pro/competitor-pages.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,872 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.
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 $0.00028 $0.01872
Opus 5.5 $0.00011 $0.00749
Sonnet 5.5 $0.00006 $0.00374
Haiku 4.5 $0.00003 $0.00187

Measured 18d ago against content hash 522d52d44e0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

competitor-pages 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 18d 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

1 near-identical copy found in the catalogue:

skills/competitor-pages/SKILL.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/digital-marketing-pro:competitor-pages

Purpose

Create high-converting competitor comparison and alternatives pages that target competitive intent keywords with accurate, structured content and appropriate schema markup.

Input Required

The user must provide (or will be prompted for):

  • Page type: "X vs Y", "alternatives to X", "best tools roundup", or "comparison table"
  • Your product/service: The product being positioned
  • Competitors: 1-5 competitor products to compare against
  • Comparison criteria: Features, pricing, use cases to compare (or auto-detected)
  • Target audience: Who is making this purchase decision

Page Types

1. "X vs Y" Comparison Pages

  • Direct head-to-head comparison between two products/services
  • Balanced feature-by-feature analysis
  • Clear verdict or recommendation with justification
  • Target keyword: [Product A] vs [Product B]

2. "Alternatives to X" Pages

  • List of alternatives to a specific product/service
  • Each alternative with brief summary, pros/cons, best-for use case
  • Target keyword: [Product] alternatives, best alternatives to [Product]

3. "Best [Category] Tools" Roundup Pages

  • Curated list of top tools/services in a category
  • Ranking criteria clearly stated
  • Target keyword: best [category] tools [year], top [category] software

4. Comparison Table Pages

  • Feature matrix with multiple products in columns
  • Sortable/filterable layout recommendations
  • Target keyword: [category] comparison, [category] comparison chart

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice and compliance rules. Check for brand guidelines — especially restrictions on competitor mentions.
  2. Research competitors: Gather feature data, pricing, positioning from public sources. Verify all claims.
  3. Generate comparison structure: Feature matrix, content outline, section order
  4. Apply schema markup: Product, SoftwareApplication, or ItemList JSON-LD depending on page type (via schema-generator.py --type <Type> — AggregateRating is not a standalone --type; it is a nested field inside Product, as shown in the Product template below)
  5. Optimize for conversion: CTA placement strategy, social proof sections, pricing highlights
  6. Apply fairness guidelines: Accuracy verification, source citations, affiliation disclosure
  7. Keyword optimization: Primary and secondary keyword targeting, title tag formulas, H1 patterns
  8. Internal linking strategy: Cross-link between related comparison pages, feature pages, case studies

Read the full file on GitHub · 195 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. 18d ago Changed · -114 tokens per session 522d52d44e0b
  2. 1mo ago First seen · 195 lines · 142 tokens per session scan A 267f4d133d2a

Subscribe to this mod's changes

competitor-pages is a skill published in the GitHub repository indranilbanerjee/digital-marketing-pro (912 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 1,872 once invoked, about $0.0001 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 2026-09-07.