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Competitive Analysis

Community
shawnpang
competitive-analysis

When the user needs to evaluate competitors, understand the competitive landscape, or position their product against alternatives.

Overview

Publishershawnpang
Repositorystartup-founder-skills
Skill namecompetitive-analysis
Stars
368
Forks
43
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 shawnpang on GitHub. Read the source before you install it.

Installation

Install the 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/shawnpang/startup-founder-skills/tree/main/skills/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/shawnpang/startup-founder-skills.git /tmp/startup-founder-skills
mkdir -p .claude/skills
cp -r /tmp/startup-founder-skills/skills/competitive-analysis .claude/skills/competitive-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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

When to Use

Activate when a founder needs to analyze the competitive landscape, evaluate specific competitors, find differentiation opportunities, or prepare a competitive brief. Trigger phrases include "who are our competitors," "analyze this competitor," "competitive landscape," "how do we compare to X," "feature comparison," "what's our moat," or "differentiation opportunities." Also activate before fundraising (investors will ask) or when entering a new market segment.

Context Required

  • From startup-context: product description, target market, current positioning, key differentiators, pricing model, geographic scope.
  • From the user: specific competitors to analyze (or request to identify them), market/industry segment to scope, the strategic question driving the analysis (positioning, pricing, feature gaps, market entry).

Workflow

  1. Scope the market -- Define the market boundaries, industry segment, and customer type. Precision here determines whether the competitive set is meaningful.
  2. Identify 5 primary competitors -- Find direct competitors (same problem, same customer), adjacent competitors (different approach to same problem), and emerging entrants. Distinguish between direct competitors and alternatives (including "do nothing" or manual workarounds).
  3. Gather competitive intelligence -- Research each competitor across: product capabilities, pricing/business model, positioning and messaging, distribution channels, team/funding, and traction signals. Use competitor websites, pricing pages, customer reviews (G2, Capterra), job postings, and product trials as primary sources.
  4. Assess strengths and weaknesses -- For each competitor, identify core product strengths, product gaps, business model advantages, and competitive threats. Validate insights across multiple sources.
  5. Map differentiation opportunities -- Identify unmet customer pain points no competitor addresses well, underserved segments, and areas where you can credibly win. Focus on where the market is heading, not just where it is.
  6. Synthesize strategic positioning -- Formulate a competitive positioning recommendation with suggested positioning, key differentiators, target segments to prioritize, competitors to monitor, and 12-18 month competitive risks.

Output Format

Market Overview

One paragraph defining the market structure: how many players, how fragmented, major categories of solutions, and overall market dynamics.

Competitor Profiles (x5)

For each competitor:

DimensionDetails
Company ProfileBackground, founding, funding, team size, headquarters
Core Product StrengthsKey capabilities, UX quality, integrations, technical advantages
Product GapsMissing features, weak areas, customer complaints
Business Model & PricingModel type, price points, free tier, enterprise options
Competitive ThreatsWhat makes them dangerous -- momentum, funding, distribution, brand

Differentiation Opportunities

  • Unmet customer pain points no competitor addresses well
  • Underserved market segments or personas
  • Emerging needs created by market shifts or technology changes
  • Positioning angles that create clear separation from the field

Competitive Positioning Recommendation

  • Suggested market positioning and category framing
  • Key differentiators to emphasize (backed by evidence)
  • Target segments where competitive dynamics favor your approach
  • Monitoring priorities (which competitors to watch and why)
  • 12-18 month competitive risks and mitigation strategies

Frameworks & Best Practices

  • Primary sources over secondhand. Use the competitor's own product (sign up for free trials), pricing page, job postings (reveal strategy), and customer reviews over analyst reports. Job postings are strategy signals -- hiring ML engineers means AI investment, enterprise sales reps means upmarket movement.
  • Status quo is your biggest competitor. For most startups, the real competitor is "do nothing" or "use a spreadsheet." Analyze this alternative with the same rigor as named competitors.
  • Compete on a different axis. If incumbents compete on features, compete on simplicity. If they compete on price, compete on experience. Winning means changing the evaluation criteria, not beating incumbents at their own game.
  • Track momentum, not just position. A well-funded competitor with flat growth is weaker than an unfunded one growing 20% month-over-month. Monitor hiring velocity, product release cadence, and review sentiment trends.
  • Distinguish direct from adjacent. Direct competitors solve the same problem for the same customer. Adjacent competitors solve the same problem differently or solve a related problem. Both matter but require different strategic responses.
  • Feature comparison honesty. Mark your own product's gaps accurately. An internal competitive analysis that overstates your strengths is useless. The purpose is truth, not comfort.
  • Refresh cadence. Update quarterly in fast-moving markets, semi-annually in slower ones. Track funding rounds, executive moves, and product launches as trigger events for ad-hoc updates.
  • Identify subtle differentiation. The most durable competitive advantages are often not feature-based -- they are distribution advantages, data moats, ecosystem effects, or brand trust built over time.

Related Skills

  • market-research -- Pair competitive analysis with market sizing to understand both the landscape and the size of the prize.
  • prd-writing -- Use competitive gaps to inform the solution section of a PRD. Build what competitors miss.
  • user-research-synthesis -- Ground feature comparisons in what customers actually value, not what competitors assume they value.

Examples

Example 1: Competitive landscape for fundraising

User: "I need a competitive landscape slide for our Series A deck."

Good output: A market overview paragraph, profiles of 4-5 key competitors highlighting their weaknesses relative to the startup's strengths, a differentiation map showing clear whitespace where the startup sits, and a positioning recommendation that tells a narrative about why competitive dynamics favor the startup's approach.

Example 2: Direct competitor deep-dive

User: "We keep losing deals to Competitor X. Help us understand why and how to win."

Good output: Deep analysis of Competitor X's strengths in the dimensions that matter to buyers (e.g., enterprise readiness, integrations, brand trust), identification of the specific evaluation criteria where they win, and actionable recommendations to either match their advantages on must-have dimensions or shift the evaluation criteria to dimensions where you are stronger.

Frequently asked questions

What does the Competitive Analysis AI skill do?

When the user needs to evaluate competitors, understand the competitive landscape, or position their product against alternatives.

Why use Competitive Analysis on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shawnpang/startup-founder-skills/tree/main/skills/competitive-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Competitive Analysis?

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

Is the Competitive Analysis AI skill free?

Yes. It is published on GitHub by shawnpang 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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