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Competitor Analysis

Community
indranilbanerjee
competitor-analysis

Analyze 2-5 competitors once: positioning, content, SEO, ads, pricing. Ongoing → competitor-monitor. "how do we stack up against X"

Overview

Publisherindranilbanerjee
Repositorydigital-marketing-pro
Skill namecompetitor-analysis
Stars
866
Forks
138
Bundled files
1
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Competitor Analysis 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.
    https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/competitor-analysis
  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/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/competitor-analysis .claude/skills/competitor-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Analysis 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 Competitor Analysis 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 Competitor Analysis 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.

/digital-marketing-pro:competitor-analysis

Purpose

Deliver a comprehensive competitive intelligence report across all major marketing dimensions. Identify competitor strengths, weaknesses, strategies, and gaps the brand can exploit.

Input Required

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

  • Competitors: 2-5 competitor names and/or URLs
  • Analysis scope: Full analysis or specific dimensions (SEO, content, ads, social, pricing)
  • Key battleground keywords: Terms where the brand competes head-to-head
  • Industry/category: For contextual benchmarking

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, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Content analysis: Content types, publishing frequency, top-performing content, content gaps, topic authority
  3. SEO analysis: Domain authority, keyword overlap, ranking gaps, backlink comparison, technical health
  4. Paid advertising: Ad copy themes, landing page strategies, estimated spend, platform focus
  5. Social media: Platform presence, follower growth, engagement rates, content mix, posting cadence
  6. AI visibility: How competitors appear in AI answer engines versus the brand
  7. Pricing and positioning: Pricing models, value proposition, messaging frameworks, market positioning
  8. Synthesize findings into strategic opportunities and threats
  9. Generate actionable recommendations for competitive advantage

For the per-dimension checklists, report table layouts, the after-analysis follow-up menu, and the parallel-dispatch rules (7 dimensions per competitor in one message; sequence the competitors), read dimension-checklists.md beside this file.

Output

A structured competitive analysis containing:

  • Competitor overview matrix with key metrics per competitor
  • Content strategy comparison with gap analysis
  • SEO competitive landscape with keyword and link opportunities
  • Paid media intelligence with creative and targeting insights
  • Social media benchmarking with engagement analysis
  • AI visibility comparison across platforms
  • Pricing and positioning map
  • SWOT summary per competitor
  • Strategic recommendations prioritized by opportunity size

Agents Used

  • competitive-intel — All competitive dimensions, benchmarking, gap analysis, and strategic recommendations

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Competitor Analysis AI skill do?

Analyze 2-5 competitors once: positioning, content, SEO, ads, pricing. Ongoing → competitor-monitor. "how do we stack up against X"

Why use Competitor Analysis on TypingMind?

Because you install it once and use it with any model. Competitor Analysis 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 Competitor Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/competitor-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Competitor Analysis?

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 Competitor Analysis?

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

Is the Competitor Analysis AI skill free?

Yes. It is published on GitHub by indranilbanerjee 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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