Discover Competitive Analysis logo

Discover Competitive Analysis

Organization
product-on-purpose
discover-competitive-analysis

Creates a structured competitive analysis comparing features, pricing, and positioning across 3-5 direct and indirect competitors, with a 2x2 map and actionable strategic recommendations. Use before entering a market, planning differentiation, or after losing deals. For market size rather than competitor positioning, use discover-market-sizing instead.

Overview

Publisherproduct-on-purpose
Repositorypm-skills
Skill namediscover-competitive-analysis
Stars
717
Forks
92
Bundled files
5
LicenseApache-2.0
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.

  • 5 bundled files

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

  • Open source

    Published by product-on-purpose on GitHub. Read the source before you install it.

Installation

Install the Discover Competitive 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/product-on-purpose/pm-skills/tree/main/skills/discover-competitive-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/product-on-purpose/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/skills/discover-competitive-analysis .claude/skills/discover-competitive-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Discover Competitive 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 Discover Competitive 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 Discover Competitive 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.

Competitive Analysis

A competitive analysis provides structured insight into the competitive landscape, helping product teams understand where they stand relative to alternatives and identify opportunities for differentiation. Rather than exhaustively cataloging every competitor, an effective analysis focuses on actionable insights that inform product strategy.

When to Use

  • Before entering a new market or launching a new product
  • When planning differentiation strategy for an existing product
  • During quarterly or annual strategic planning reviews
  • When evaluating build vs. buy decisions
  • After losing deals to understand competitive positioning
  • When onboarding new product team members to the market context

When NOT to Use

  • You need market size rather than competitor positioning -> use discover-market-sizing
  • You are stress-testing strategic differentiation across the whole business model -> use foundation-lean-canvas, or tool-foundation-sprint-differentiation inside a Foundation Sprint
  • You want to understand why customers switch products -> use define-jtbd-canvas; it examines competing solutions through the job lens
  • The landscape is already mapped and you need the problem framed -> use define-problem-statement

Instructions

When asked to create a competitive analysis, follow these steps:

  1. Define the Scope Clarify what you're analyzing: a specific feature area, overall product positioning, or pricing strategy. Identify 3-5 key competitors: direct competitors (same solution), indirect competitors (different solution to same problem), and potential disruptors.

  2. Gather Intelligence Research each competitor through public sources: websites, pricing pages, G2/Capterra reviews, press releases, job postings, and customer testimonials. Note what you can verify vs. what you're inferring.

  3. Build the Feature Matrix Create a comparison grid of key capabilities. Focus on features that matter to your target customers, not exhaustive checklists. Use consistent ratings (e.g., Full, Partial, None, Unknown).

  4. Analyze Positioning Map competitors on a 2x2 positioning matrix using dimensions relevant to your market (e.g., price vs. features, ease of use vs. power, SMB vs. enterprise). Identify white space opportunities.

  5. Assess Strengths and Weaknesses For each competitor, document genuine strengths (what they do better than you) and weaknesses (where they fall short). Avoid dismissing competitors. Respect drives better strategy.

  6. Identify Strategic Implications Translate observations into actionable recommendations: where to compete head-on, where to differentiate, what messaging to emphasize, and what gaps represent opportunities.

  7. Note Confidence Levels Mark which conclusions are based on verified data vs. inference. Competitive intelligence has varying reliability. Be honest about uncertainty.

Output Format

Use the template in references/TEMPLATE.md to structure the output. A complete analysis fills every template section: Overview; Market Context; Competitors Analyzed; Feature Comparison Matrix; Pricing Comparison; Positioning Map; Competitor Deep Dives; Competitive Gaps and Opportunities; Strategic Recommendations; Sources and Confidence; and Next Steps.

Quality Checklist

Before finalizing, verify:

  • Scope is clearly defined (what market, segment, use case)
  • 3-5 competitors are analyzed, including direct and indirect
  • Feature comparison focuses on customer-relevant capabilities
  • Positioning map uses meaningful, differentiated dimensions
  • Strengths acknowledge where competitors genuinely excel
  • Recommendations are specific and actionable
  • Sources and confidence levels are documented

Examples

See references/EXAMPLE.md for a completed example.

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 Discover Competitive Analysis AI skill do?

Creates a structured competitive analysis comparing features, pricing, and positioning across 3-5 direct and indirect competitors, with a 2x2 map and actionable strategic recommendations. Use before entering a market, planning differentiation, or after losing deals. For market size rather than competitor positioning, use discover-market-sizing instead.

Why use Discover Competitive Analysis on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/product-on-purpose/pm-skills/tree/main/skills/discover-competitive-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 Discover Competitive 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 Discover Competitive Analysis?

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

Is the Discover Competitive Analysis AI skill free?

Yes. It is published on GitHub by product-on-purpose under the Apache-2.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇