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Compete

Community
Houseofmvps
compete

Competitive X-Ray — analyze any competitor URL vs your site. Use when user wants to compare their site against a competitor, benchmark performance, or understand competitive positioning.

Overview

PublisherHouseofmvps
Repositoryultraship
Skill namecompete
Stars
122
Forks
14
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Houseofmvps on GitHub. Read the source before you install it.

Installation

Install the Compete AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Houseofmvps/ultraship.git /tmp/ultraship
mkdir -p .claude/skills
cp -r /tmp/ultraship/skills/compete .claude/skills/compete
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Compete in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Compete on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Compete is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Competitive X-Ray

Know what you're up against. Understand where you win, where you lose, and where the gaps are. This isn't just a technical comparison — it's a strategic assessment.

Process

Phase 1: Gather URLs

Ask the user for:

  1. Your site URL (production URL)
  2. Competitor URL (the site to compare against)

If the user provided both URLs already, skip asking.

Phase 2: Run Analysis

bash
node ${CLAUDE_PLUGIN_ROOT}/tools/compete-analyzer.mjs <your-url> <competitor-url>

Parse the JSON output.

Phase 3: Present Comparison

Present results in a clear head-to-head format:

Performance:

  • Response time comparison (who's faster, by how much)
  • Content size comparison
  • What the speed difference means for user experience and SEO

Tech Stack:

  • What each site is built with (framework, hosting, analytics, payments)
  • What their tech choices reveal about their stage and priorities
  • Overlap and differences

SEO:

  • Score comparison (out of 10)
  • Specific wins/losses (who has better meta tags, OG tags, sitemap, etc.)
  • GEO readiness comparison (llms.txt, AI-friendly robots.txt, structured data)
  • AEO readiness comparison (FAQPage schema, answer formatting)

Security:

  • Header comparison
  • HTTPS status
  • What missing headers reveal about their security posture

Phase 4: Strategic Analysis

Go beyond raw data. A principal-level competitive analysis answers:

1. Moat Assessment

  • What is their defensible advantage? (network effects, data, integrations, brand, switching costs)
  • What is YOUR defensible advantage?
  • Which moat is stronger, and what would it take to erode theirs?

2. Positioning Gap Analysis

  • What market segment are they targeting? (enterprise, SMB, developer, consumer)
  • Is there an underserved segment between you? (e.g., they target enterprise, you target solo founders — is there an SMB gap?)
  • Where do they over-serve (features their users don't need) or under-serve (features their users wish they had)?

3. Pricing & Value Perception

  • If pricing is visible, compare positioning: are they premium or budget? Is there room above, below, or between?
  • What does their pricing structure tell you? (per-seat = team play, usage-based = API/developer, flat = SMB simplicity)

4. Technical Debt Signals

  • Slow response time = legacy stack or unoptimized infrastructure
  • Missing security headers = early stage or no security focus
  • No structured data = SEO is an afterthought
  • Heavy bundle = frontend debt accumulating
  • These are exploitable advantages if you're faster, more secure, or more SEO-optimized

5. Your Advantages — where you're ahead, how to maintain and widen the lead 6. Their Advantages — where they beat you, how to close the gap 7. Quick Wins — low-effort improvements that would flip a loss into a win

Phase 5: Comparison Card

Display the ASCII comparison card from the tool output. This is designed to be screenshot-shareable on Twitter/X.

Suggest the user share it with context like: "Ran a competitive analysis of [my product] vs [competitor]. Here's what the data shows:" — factual, not adversarial.

Phase 6: Action Items

Create a prioritized action plan:

This week (quick wins):

  • Technical gaps you can close in hours (add missing headers, optimize images, fix meta tags)
  • Low-effort improvements that flip a score

This month (strategic):

  • Feature or content gaps that require development work
  • SEO + AI visibility improvements that compound over time

This quarter (moat building):

  • Structural advantages to invest in (integrations, community, content library)
  • Things that get harder to replicate the earlier you start

Key Principles

  • Know thy enemy. This isn't about scores — it's about understanding what a competitor prioritizes and finding your unfair advantage.
  • Compete on strengths, not weaknesses. Don't try to match every feature — find where you win and amplify it.
  • Data over opinion. Every recommendation should be backed by the comparison data. No "I feel like you should" — only "the data shows X, so do Y."
  • Share the card. The comparison card is designed for virality. Factual competitive analysis gets engagement on Twitter.

Frequently asked questions

What does the Compete AI skill do?

Competitive X-Ray — analyze any competitor URL vs your site. Use when user wants to compare their site against a competitor, benchmark performance, or understand competitive positioning.

Why use Compete on TypingMind?

Because you install it once and use it with any model. Compete is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Compete in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Houseofmvps/ultraship/tree/main/skills/compete. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Compete?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Compete?

As many as you like. As long as a model supports skills, you can use Compete with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Compete AI skill free?

Yes. It is published on GitHub by Houseofmvps under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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