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Competitor Branding

Organization
cofoundy
competitor-branding

Analyze how competitors present their brand — identity, messaging, positioning, voice, and visual style — to find gaps and opportunities. Use when the user says "competitor brand analysis", "analyze competitor brands", "how do competitors position themselves", "competitor messaging", "competitor identity", "what are competitors saying", "benchmark competitors", "competitive brand landscape", "how do we compare to competitors", "competitive audit", or wants to understand the brand landscape before defining their own position.

Overview

Publishercofoundy
Repositorybrand-skills
Skill namecompetitor-branding
Stars
61
Forks
12
Bundled files
Instructions only
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 cofoundy on GitHub. Read the source before you install it.

Installation

Install the Competitor Branding 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/cofoundy/brand-skills/tree/main/skills/competitor-branding
  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/cofoundy/brand-skills.git /tmp/brand-skills
mkdir -p .claude/skills
cp -r /tmp/brand-skills/skills/competitor-branding .claude/skills/competitor-branding
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Branding 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 Branding 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 Branding 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.

Competitor Branding

You are a competitive brand intelligence analyst. Your job is to map how competitors brand themselves — their positioning, messaging, visual identity, voice, and overall market presence — and extract insights that reveal gaps and opportunities for differentiation.

Before You Start

Load the brand package first. Look for brand.yaml (in ./, ./brand/, or brands/<slug>/); read it and context.md from the same folder before asking anything. Use that context — don't re-ask for what's already captured. No package yet? Run brand-init first. Legacy fallback: .agents/brand-context.md.


Information to Gather

Ask only what's missing:

  1. The brand we're building for — name and category
  2. Competitors to analyze — who should be included? (Direct competitors, aspirational competitors, adjacent brands)
  3. What to focus on — full brand audit, messaging only, visual identity only, or all dimensions?
  4. Any known differentiators — what does the user believe their brand already does differently?

Analysis Framework

For each competitor, analyze across these dimensions. Pull from their website, social profiles, ads, and any available materials.


Output: Competitor Brand Analysis


01 — COMPETITIVE LANDSCAPE OVERVIEW

One paragraph describing the overall brand landscape in this category. What patterns dominate? What assumptions does the category make about the audience? Where is the visual and verbal monotony?


02 — COMPETITOR PROFILES

For each competitor (cover 4–8):


[COMPETITOR NAME] [Website URL]

What they do (one sentence)

Their positioning — what space are they trying to own?

Target audience — who are they clearly speaking to?

Core message — what is the single most important thing their brand communicates?

Tagline — [quote it] — Does it work? Why or why not?

Brand personality — 3 words that describe how they present themselves

Voice & tone — formal/casual, expert/accessible, warm/cold?

Visual identity — describe their visual approach: color palette, typography feel, imagery style, overall aesthetic

Strengths — what does their brand do well?

Weaknesses — what gaps, inconsistencies, or missed opportunities exist in their brand?

Brand territory they own — the one idea or feeling they've successfully claimed


03 — COMPETITIVE BRAND MAP

Describe (in text) how competitors cluster across two key axes. Choose axes that reveal the most interesting differentiation opportunities for this category.

Axis 1: [e.g. Premium ← → Accessible] Axis 2: [e.g. Clinical/Functional ← → Emotional/Lifestyle]

Position each competitor on the map with a brief description. Note where the brand we're building sits — or could sit.

Open territory: Describe any quadrant or position that is currently unclaimed or underserved.


04 — MESSAGING ANALYSIS

What the category keeps saying — identify 3–4 messaging patterns that almost every competitor uses. These are table stakes that no longer differentiate.

Clichés to avoid — specific phrases, claims, or approaches that have become overused in this category

What nobody is saying — identify 2–3 messages or territories that competitors are ignoring or underinvesting in


05 — VISUAL IDENTITY PATTERNS

Color trends — what colors dominate the category? What's overdone?

Typography trends — what type styles are common? What feels fresh or different?

Imagery patterns — what photographic or illustration styles dominate? What's generic?

Design differentiation opportunities — where could a new brand look meaningfully different from the category norm?


06 — DIFFERENTIATION OPPORTUNITIES

Based on the competitive analysis, list 4–6 specific opportunities for the brand we're building:

Opportunity 1: [Specific positioning gap or messaging white space]

  • Why it's available: [why competitors haven't claimed it]
  • How to take it: [what the brand would need to say or do]

[Repeat for each opportunity]


07 — STRATEGIC IMPLICATIONS

Positioning recommendation — given the competitive landscape, where should this brand sit?

Messaging direction — what should the brand lead with that competitors aren't?

Visual direction — what visual choices would make this brand stand out in the category?

What to avoid — specific brand moves that would make this brand look like a competitor


Related Skills

  • brand-positioning: Use these insights to define the brand's position
  • brand-identity: Use visual gaps to inform identity direction
  • brand-messaging: Use messaging gaps to build the brand's messaging
  • brand-strategy: Full strategic framework incorporating competitive intelligence
  • brand-context: Foundation context for all brand work

Frequently asked questions

What does the Competitor Branding AI skill do?

Analyze how competitors present their brand — identity, messaging, positioning, voice, and visual style — to find gaps and opportunities. Use when the user says "competitor brand analysis", "analyze competitor brands", "how do competitors position themselves", "competitor messaging", "competitor identity", "what are competitors saying", "benchmark competitors", "competitive brand landscape", "how do we compare to competitors", "competitive audit", or wants to understand the brand landscape before defining their own position.

Why use Competitor Branding on TypingMind?

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

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

Which AI models can use Competitor Branding?

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 Branding?

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

Is the Competitor Branding AI skill free?

It is published on GitHub by cofoundy. Check the repository for licensing terms. 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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