Obviously Awesome logo

Obviously Awesome

OrganizationPopular
wondelai
obviously-awesome

Define product positioning by mapping competitive alternatives, unique attributes, and best-fit customers to the right market category. Use when the user mentions "positioning", "competitive alternatives", "how to position", "market category", "positioning canvas", "repositioning", "category creation", "what category are we in", or "why prospects dont get what we do". Also trigger when launching a new product, entering a crowded market, or diagnosing why prospects dont grasp the product's value. Covers the positioning canvas and team workshops. For customer jobs analysis, see jobs-to-be-done. For go-to-market, see crossing-the-chasm.

Overview

Publisherwondelai
Repositoryskills
Skill nameobviously-awesome
Stars
2.2K
Forks
228
Bundled files
8
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.

  • 8 bundled files

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

  • Open source

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

Installation

Install the Obviously Awesome 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/wondelai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/obviously-awesome .claude/skills/obviously-awesome
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Obviously Awesome 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 Obviously Awesome 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 Obviously Awesome 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.

Product Positioning Framework

April Dunford's "Obviously Awesome" methodology: a structured, repeatable process for defining how your product is the best in the world at delivering something a well-defined set of customers cares a lot about. Positioning determines what customers compare you to, which features they notice, and ultimately whether they buy.

Core Principle

Positioning is not messaging. Positioning is context.

Positioning defines the context within which customers evaluate your product -- what category they place you in, what alternatives they compare you against, and how they judge your value. Customers always evaluate relative to alternatives; there is no absolute product perception -- a product that seems expensive in one context seems cheap in another. Deliberately choose the context that makes your unique strengths obvious: get it right and messaging, sales, and pricing become dramatically easier; get it wrong and no amount of clever copywriting will save you.

Scoring

Goal: 10/10. Rate any product's positioning 0-10 using the bands below, and always state the current score with the specific improvements needed to reach 10/10.

ScoreDescription
0-2No clear positioning; customers can't explain what the product is or who it's for
3-4Vague: category unclear, differentiation weak, target customer is "everyone"
5-6Partial: some components clear, others missing; team members describe the product differently
7-8Strong: all five components defined, team aligned, customers generally understand the value
9-10Exceptional: every component reinforces the others; customers immediately get what it is, why it's different, and why they should care

The Positioning Canvas

The 10 outputs of positioning, captured in one place. Steps 1-5 build the top five; the rest are derived from them. Every team member should fill this out and arrive at the same answers -- divergence signals misalignment.

ComponentFill-in QuestionExample Answer
Competitive AlternativesWhat would customers use if we didn't exist?Spreadsheets, consultants, doing nothing
Unique AttributesWhat do we have that alternatives don't?Real-time collaboration on financial models
Value ThemesWhat value do those attributes enable?Save 10 hours/week on financial reporting
Best-Fit CustomersWho cares most about that value?Mid-market CFOs managing 3+ business units
Market CategoryWhat market frame makes our value obvious?FP&A software
Relevant TrendsWhat market dynamics create urgency now?Remote finance teams need real-time collaboration
Positioning StatementFor [target], we are the [category] that [key value]"For mid-market CFOs, the FP&A platform built for real-time collaboration"
Key Proof PointsWhat evidence shows our claims are true?Case studies, usage data, third-party benchmarks
Sales NarrativeHow do we tell this story in a sales conversation?Problem -> old way -> new way -> our solution -> proof
MessagingWhat external headline derives from positioning?"Financial planning that keeps up with your business"

See references/positioning-canvas.md when filling out the canvas for a real product -- it has the blank template plus three fully worked examples (B2B SaaS, consumer app, professional services).

The 5-Step Positioning Process

Step 1: Identify Your Competitive Alternatives

Core concept: Understand what your best customers would do if your product vanished tomorrow -- not just direct competitors, but any way they solve the problem today: manual processes, spreadsheets, hiring someone, or doing nothing.

Why it works: Customers always evaluate products relative to alternatives, so "differentiated" only has meaning against the real alternatives in your customer's mind.

Key insights:

  • Interview 15-20 existing happy customers, not prospects -- they can tell you what they actually switched from
  • The most common alternative is often not a product -- it's a spreadsheet, a manual process, or the status quo
  • "Do nothing" is your biggest competitor in many markets
  • Group similar alternatives ("general-purpose spreadsheets" rather than Excel, Sheets, Numbers)
  • Different customer segments may have different alternatives

Product applications:

ContextApplicationExample
New product launchInterview early adopters on what they used before"70% used spreadsheets, 20% a generic PM tool, 10% hired contractors"
RepositioningSurvey churned and retained customersRetained customers compared you to consultants, not software
Competitive analysisMap alternatives by segmentEnterprise compares to Salesforce; SMBs to spreadsheets

Copy patterns:

  • "Unlike [competitive alternative], [product] does [unique thing]"
  • "Stop using [painful alternative] for [job]"
  • "You've outgrown [alternative]. Here's what comes next."

Ethical boundary: Base alternatives on actual customer research, never assumptions or wishful thinking.

See references/competitive-alternatives.md when preparing or running the customer interviews -- it has the full question script, the five alternative types, clustering, and "do nothing" analysis.

Step 2: Identify Your Unique Attributes

Core concept: List every attribute -- feature, capability, company characteristic, or approach -- that you have and your competitive alternatives don't. They must be both unique AND true.

Why it works: Unique attributes are the raw material of differentiation: if it isn't unique it can't differentiate you, and if it isn't true you'll lose trust.

Key insights:

  • Look beyond features: architecture, business model, team expertise, integrations, community
  • "Better" is not unique -- "10% faster" doesn't qualify; "a fundamentally different algorithm enabling real-time processing" might
  • Every attribute must survive the "only we" test: "Only we [attribute]"
  • Attributes are facts about your product; benefits are what customers get from them -- don't confuse the two
  • Cluster related attributes into groups (they become value themes in Step 3)

Product applications:

ContextApplicationExample
Feature launchCheck if it creates a unique attribute"The only PM tool with built-in time-zone-aware scheduling"
Competitive responseRe-verify uniqueness after competitor updatesQuarterly attribute audit against top 5 alternatives
AcquisitionIdentify which acquired attributes are unique"Their NLP engine processes medical terminology -- no other EMR does"

Copy patterns:

  • "The only [category] that [unique attribute]"
  • "Built from the ground up to [unique capability]"
  • "No other [category] can [unique thing] because [reason]"

Ethical boundary: Never claim attributes that aren't genuinely unique -- if a competitor has it, it's table stakes.

See references/unique-attributes.md when running the attribute-discovery workshop -- it has the elicitation process, the "only we" verification, and clustering into themes.

Step 3: Map Attributes to Customer Value

Core concept: For each unique attribute, apply the "So what?" test repeatedly until you reach a value customers actually care about, then group related values into two or three value themes.

Why it works: Customers buy outcomes, not features -- an attribute is meaningless until you articulate why it matters in the customer's terms. Value themes give your positioning narrative structure and make it memorable.

Key insights:

  • The "So what?" chain: Feature -> Advantage -> Value ("Real-time collaboration" -> "finance teams work simultaneously" -> "close the books 3 days faster each quarter")
  • Express value in the customer's language, not internal jargon
  • Most products support 2-4 value themes -- more means unfocused positioning
  • Back every theme with proof points: case studies, data, testimonials
  • Themes usually cluster around saving time, saving money, reducing risk, enabling growth, or improving quality

Product applications:

ContextApplicationExample
Messaging developmentBuild hierarchy from value themesPrimary: "Close books 3x faster." Secondary: "Eliminate version-control errors."
Sales enablementTalk tracks per themeEach theme becomes a pitch section with proof points
Content marketingContent pillars from themesBlog series, whitepapers, webinars organized by value theme

Copy patterns:

  • "[Value outcome] with [product], powered by [unique attribute]"
  • "Our customers [measurable outcome] because [unique capability]"
  • "[Number]% of customers report [value] within [timeframe]"

See references/value-mapping.md when running the "So what?" chain on attributes -- it has the full Feature->Advantage->Value walkthrough and proof-point creation.

Step 4: Define Your Best-Fit Target Customers

Core concept: Identify the characteristics that make someone care the most about the value only you deliver -- the tightest possible definition of who your product is perfect for right now, not your total addressable market.

Why it works: Best-fit customers buy fastest, churn least, refer most, and expand most; nail positioning for them and it expands outward naturally. Their testimonials and case studies are also the most compelling.

Key insights:

  • Characteristics must be identifiable before you talk to the customer: job title, company size, industry, tech stack -- not psychographics
  • Work backward from your happiest, most successful existing customers
  • "Everyone" is never a valid target -- even horizontal products have best-fit segments
  • Best-fit is not necessarily the biggest market -- it's the most reachable, convincible, and retainable
  • Define negative criteria too: what indicates someone is NOT a fit

Product applications:

ContextApplicationExample
Go-to-market strategyLaunch to the best-fit segment first"Series B-D SaaS, 50-500 employees, dedicated RevOps person"
Sales qualificationScore leads on best-fit criteria+20 RevOps title, +15 SaaS industry, +10 for 50-500 employees
Product roadmapPrioritize best-fit requests"Best-fit customers all ask for Salesforce integration -- build it next"

Copy patterns:

  • "Built for [specific customer type] who [specific situation]"
  • "If you're a [role] at a [company type], you know [pain point]"
  • "Purpose-built for [segment], not a generic tool adapted for everyone"

Ethical boundary: Best-fit definition is about focus, not exclusion -- never denigrate other segments.

See references/target-customers.md when defining best-fit criteria -- it has the actionable-segmentation tests, negative criteria, personas, and how best-fit differs from TAM.

Step 5: Choose Your Market Category

Core concept: Select the market frame of reference that makes your unique value most obvious. Three strategic options: compete head-to-head in an existing category, create a subcategory, or create a new category.

Why it works: The category triggers assumptions in the customer's mind about what your product does, who it competes with, and how it should be priced -- the right category leverages those assumptions in your favor; the wrong one fights them.

Key insights:

  • Head-to-head: claim "best" in an established category customers already understand; you inherit all its assumptions and competitors
  • Subcategory: redefine how a slice of an existing category is evaluated ("CRM for real estate") -- built-in awareness with shifted criteria
  • New category: only when genuinely unlike anything existing; you pay an "education tax" teaching customers the category before they can evaluate you
  • Changing category changes everything: competitors, evaluation criteria, pricing and buyer expectations
  • Test the choice: do prospects "get it" in the first 30 seconds of a conversation?

Product applications:

ContextApplicationExample
Startup positioningChoose initial category"AI writing assistant" (existing) over "content intelligence platform" (new)
Market expansionShift category as product matures"Email marketing tool" -> "customer engagement platform"
Competitive responseReframe when competitors flood your category"Project management" -> "product development workflow"

Copy patterns:

  • Existing: "The best [category] for [best-fit customers]"
  • Subcategory: "[Modifier] [category] -- [category] reimagined for [specific need]"
  • New category: "Introducing [new category]: [one-sentence definition]"

Ethical boundary: Don't create a new category purely to avoid competition -- only when your product genuinely can't be understood within existing frameworks.

See references/market-category.md when choosing between head-to-head, subcategory, and new category -- it has the decision framework and the education-tax analysis.

Market Reference Points

Trends act as tailwinds: a real, widely acknowledged trend that connects directly to your unique value makes positioning feel timely and inevitable rather than arbitrary. Use trends as supporting evidence, never the core of your positioning. Example: "As finance teams go remote, real-time collaboration isn't a nice-to-have -- it's essential."

Warning signs of trend abuse: your positioning only makes sense in light of the trend; the trend connects to no unique attribute; the trend is aspirational rather than actually happening.

Team Positioning Exercise

Positioning requires cross-functional alignment: include founders (vision), product (unique attributes), sales (objections and alternatives), marketing (category and messaging), and customer success (best-fit evidence). Run it in three parts: pre-work gathering customer research and win/loss data (1-2 weeks before), a 2-3 hour workshop walking all five steps to consensus, and post-work documenting the canvas and aligning customer-facing materials. The most important output is alignment -- everyone describing the product the same way.

See references/team-exercise.md when facilitating the workshop -- it has the minute-by-minute agenda, pre-work checklist, and remote adaptations.

Common Mistakes

MistakeWhy It FailsFix
Positioning for everyoneDilutes differentiation; no one feels it was built for themTighten best-fit definition to the segment that cares most
Confusing positioning with messagingWords without strategy sound good but don't resonateDo the positioning work first; derive messaging from it
Listing features instead of valueCustomers buy outcomes; feature lists overwhelmApply the "So what?" test until you reach customer value
Copying competitor positioningInvites direct comparison on their termsBuild positioning from attributes only you can own
Changing positioning too frequentlyConfuses customers, sales, and marketCommit for 6-12 months; adjust messaging more often
Creating a new category prematurelyPays the "education tax" without resources to educateStart in an existing category or subcategory; create new only with traction and resources
Ignoring competitive alternativesDifferentiation exists in a vacuumRun the Step 1 happy-customer interviews about what they used before

Quick Diagnostic

QuestionIf NoAction
Can every team member describe the product the same way?Positioning isn't alignedRun a team positioning exercise
Do prospects understand what you do in under 30 seconds?Category is wrong or unclearRe-evaluate your market category choice
Can you name 3 things you do that no competitor does?Weak unique attributesDeep-dive attribute discovery with customer input
Do you know what customers would use if you didn't exist?Unknown competitive alternativesRun the Step 1 happy-customer interviews on alternatives
Can you articulate why best-fit customers choose you?Value themes are unclearRun the "So what?" mapping exercise
Is your best-fit definition specific enough to target proactively?Target is too broadAnalyze best customers for common actionable characteristics

See references/case-studies.md when you want a worked precedent to model a real engagement on -- it walks through repositioning wins, niche discovery, and category creation end to end.

Further Reading

About the Author

April Dunford is a positioning consultant who has worked with over 200 companies, including Google, IBM, Postman, and Epic Games, after 25 years as a startup VP of Marketing. Her book "Obviously Awesome" (2019) codified the repeatable positioning methodology that became the industry standard; the follow-up "Sales Pitch" (2023) extends it into sales conversations.

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 Obviously Awesome AI skill do?

Define product positioning by mapping competitive alternatives, unique attributes, and best-fit customers to the right market category. Use when the user mentions "positioning", "competitive alternatives", "how to position", "market category", "positioning canvas", "repositioning", "category creation", "what category are we in", or "why prospects dont get what we do". Also trigger when launching a new product, entering a crowded market, or diagnosing why prospects dont grasp the product's value. Covers the positioning canvas and team workshops. For customer jobs analysis, see jobs-to-be-don...

Why use Obviously Awesome on TypingMind?

Because you install it once and use it with any model. Obviously Awesome 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 Obviously Awesome in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/wondelai/skills/tree/main/obviously-awesome. 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 Obviously Awesome?

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 Obviously Awesome?

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

Is the Obviously Awesome AI skill free?

Yes. It is published on GitHub by wondelai 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.

View all

Set up your own AI workspace now

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