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Product Strategist

CommunityPopular
MaxMiksa
product-strategist

Expert product strategy covering market analysis, competitive positioning, go-to-market planning, and product-led growth.

Overview

PublisherMaxMiksa
RepositoryAuto-Company
Skill nameproduct-strategist
Stars
3.1K
Forks
493
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 MaxMiksa on GitHub. Read the source before you install it.

Installation

Install the Product Strategist 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/MaxMiksa/Auto-Company/tree/main/.claude/skills/product-strategist
  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/MaxMiksa/Auto-Company.git /tmp/Auto-Company
mkdir -p .claude/skills
cp -r /tmp/Auto-Company/.claude/skills/product-strategist .claude/skills/product-strategist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Strategist 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 Product Strategist 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 Product Strategist 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 Strategist

Expert-level product strategy for market success.

Core Competencies

  • Market analysis
  • Competitive positioning
  • Go-to-market strategy
  • Product-led growth
  • Business modeling
  • Strategic planning
  • Portfolio management
  • Partnership strategy

Market Analysis

Market Sizing (TAM/SAM/SOM)

TAM (Total Addressable Market)
├── Total market demand if 100% market share
├── Calculation: # of potential customers × average revenue per customer
└── Example: 10M businesses × $1000/year = $10B

SAM (Serviceable Addressable Market)
├── Portion of TAM we can serve with our product
├── Filter by geography, segment, use case
└── Example: 2M businesses in our target segment = $2B

SOM (Serviceable Obtainable Market)
├── Realistic market share in 3-5 years
├── Based on competition, resources, go-to-market
└── Example: 5% of SAM = $100M

Market Analysis Framework

markdown
# Market Analysis: [Market Name]

## Market Size
- TAM: $[X]B ([growth rate]% CAGR)
- SAM: $[X]B
- SOM: $[X]M

## Market Dynamics

### Growth Drivers
1. [Driver 1] - [Impact]
2. [Driver 2] - [Impact]

### Market Barriers
1. [Barrier 1] - [Mitigation]
2. [Barrier 2] - [Mitigation]

### Trends
- [Trend 1]: [Description]
- [Trend 2]: [Description]

## Customer Segments

| Segment | Size | Growth | Need | Willingness to Pay |
|---------|------|--------|------|-------------------|
| [Seg A] | [%] | [%] | [Need] | [$] |
| [Seg B] | [%] | [%] | [Need] | [$] |

## Competitive Landscape
[See competitive analysis section]

## Key Success Factors
1. [Factor 1]
2. [Factor 2]
3. [Factor 3]

Competitive Analysis

Competitive Matrix

FactorUsCompetitor ACompetitor B
Price$X$Y$Z
Feature 1★★★★★★★★★
Feature 2★★★★★★★★★
UX★★★★★★★★★
Support★★★★★★★★★
Integration★★★★★★★★★★★

Porter's Five Forces

THREAT OF NEW ENTRANTS: [Low/Med/High]
- Barriers to entry: [Assessment]
- Capital requirements: [Assessment]
- Brand loyalty: [Assessment]

BARGAINING POWER OF SUPPLIERS: [Low/Med/High]
- Supplier concentration: [Assessment]
- Switching costs: [Assessment]

BARGAINING POWER OF BUYERS: [Low/Med/High]
- Buyer concentration: [Assessment]
- Price sensitivity: [Assessment]

THREAT OF SUBSTITUTES: [Low/Med/High]
- Availability: [Assessment]
- Switching costs: [Assessment]

COMPETITIVE RIVALRY: [Low/Med/High]
- Number of competitors: [Assessment]
- Industry growth: [Assessment]
- Differentiation: [Assessment]

Competitive Positioning Map

                    High Price
                        │
    Premium         ────┼────    Luxury
    (High value)        │        (Status)
                        │
    Low Feature ────────┼──────── High Feature
                        │
    Budget          ────┼────    Value
    (Cost focus)        │        (Best deal)
                        │
                    Low Price

Positioning Strategy

Positioning Statement

FOR [target customer]
WHO [statement of need/opportunity]
[Product name] IS A [product category]
THAT [key benefit/differentiator]
UNLIKE [competitive alternative]
OUR PRODUCT [primary differentiation]

Value Proposition Canvas

CUSTOMER PROFILE                 VALUE MAP
┌─────────────────────┐         ┌─────────────────────┐
│     Customer        │         │    Value            │
│       Jobs          │ ←─────→ │   Proposition       │
│  ┌─────────────┐   │         │  ┌─────────────┐   │
│  │ Pains      │   │         │  │Pain Relievers│   │
│  └─────────────┘   │         │  └─────────────┘   │
│  ┌─────────────┐   │         │  ┌─────────────┐   │
│  │ Gains      │   │         │  │Gain Creators│   │
│  └─────────────┘   │         │  └─────────────┘   │
└─────────────────────┘         └─────────────────────┘

Messaging Framework

AudiencePain PointOur SolutionProof Point
[Buyer][Pain][Solution][Evidence]
[User][Pain][Solution][Evidence]
[Influencer][Pain][Solution][Evidence]

Go-to-Market Strategy

GTM Plan Template

markdown
# Go-to-Market Plan: [Product/Feature]

## Overview
- Launch date: [Date]
- Target segment: [Segment]
- Revenue target: $[X] by [Date]

## Target Customer
- Ideal Customer Profile (ICP)
- Buyer personas
- Decision-making process

## Positioning
- Positioning statement
- Key messages (3)
- Competitive differentiators

## Pricing Strategy
- Pricing model: [Model]
- Price points: [Tiers]
- Packaging: [Bundles]

## Channel Strategy
| Channel | Role | Investment | Target |
|---------|------|------------|--------|
| Direct Sales | [Role] | [%] | [Goal] |
| Self-serve | [Role] | [%] | [Goal] |
| Partners | [Role] | [%] | [Goal] |

## Marketing Plan
- Pre-launch: [Activities]
- Launch: [Activities]
- Post-launch: [Activities]

## Sales Enablement
- Training program
- Sales collateral
- Demo environments

## Success Metrics
- [Metric 1]: [Target]
- [Metric 2]: [Target]
- [Metric 3]: [Target]

## Timeline
| Phase | Activities | Dates |
|-------|-----------|-------|
| Pre-launch | [List] | [Dates] |
| Launch | [List] | [Dates] |
| Post-launch | [List] | [Dates] |

Launch Checklist

PRE-LAUNCH (T-30 days)
□ Product ready for launch
□ Pricing finalized
□ Sales training complete
□ Marketing materials ready
□ Support documentation done
□ Beta feedback incorporated

LAUNCH WEEK
□ Press release distributed
□ Blog post published
□ Email campaign sent
□ Social media announced
□ Sales team notified
□ Support team briefed

POST-LAUNCH (T+30 days)
□ Performance metrics tracked
□ Customer feedback collected
□ Issues addressed
□ Learnings documented
□ Optimization plan created

Product-Led Growth

PLG Metrics

ACQUISITION
├── Website visitors
├── Sign-ups
└── Activation rate

ACTIVATION
├── Time to value
├── Aha moment reached
└── Feature adoption

RETENTION
├── Daily/Weekly active users
├── Feature stickiness
└── Churn rate

REVENUE
├── Conversion rate (free → paid)
├── Expansion revenue
└── Net revenue retention

REFERRAL
├── Viral coefficient
├── NPS
└── Referral sign-ups

PLG Flywheel

         ┌──────────────────────────┐
         │                          │
         ▼                          │
    ┌─────────┐              ┌──────┴──────┐
    │ Acquire │              │   Refer     │
    │  Users  │              │   Others    │
    └────┬────┘              └─────────────┘
         │                          ▲
         ▼                          │
    ┌─────────┐              ┌──────┴──────┐
    │ Activate│              │   Expand    │
    │  Users  │──────────────│   Usage     │
    └────┬────┘              └─────────────┘
         │                          ▲
         ▼                          │
    ┌─────────┐              ┌──────┴──────┐
    │ Engage  │──────────────│   Monetize  │
    │  Users  │              │   Users     │
    └─────────┘              └─────────────┘

Business Modeling

Business Model Canvas

┌─────────────────────────────────────────────────────────────┐
│ Key           │ Key           │ Value         │ Customer    │
│ Partners      │ Activities    │ Propositions  │ Relationships│
│               │               │               │             │
│ [Who]         │ [What]        │ [Why]         │ [How]       │
├───────────────┼───────────────┼───────────────┼─────────────┤
│ Key           │               │               │ Customer    │
│ Resources     │               │               │ Segments    │
│               │               │               │             │
│ [With what]   │               │               │ [For whom]  │
├───────────────┴───────────────┴───────────────┴─────────────┤
│ Cost Structure                │ Revenue Streams             │
│                              │                              │
│ [How much]                   │ [How]                        │
└──────────────────────────────┴──────────────────────────────┘

Unit Economics

LTV (Lifetime Value)
= ARPU × Gross Margin × Customer Lifetime
= $100/mo × 70% × 36 months = $2,520

CAC (Customer Acquisition Cost)
= Total Sales & Marketing / New Customers
= $500,000 / 1,000 = $500

LTV:CAC Ratio
= $2,520 / $500 = 5.04:1 (Target: >3:1)

CAC Payback
= CAC / (ARPU × Gross Margin)
= $500 / ($100 × 70%) = 7.1 months

Working With the Bundled Guidance

This skill includes the frameworks, tables, and formulas above. It does not bundle calculators, a live competitive tracker, or a timeline generator.

TaskSupported workflow
Market sizingUse market-sizing-analysis to define TAM/SAM/SOM, record sources, and calculate a range from explicit assumptions.
Competitive analysisFill the competitive matrix above from dated, cited research. Mark unknowns and compare the same criteria across competitors.
Go-to-market planningApply the launch phases above to the target date; record an owner, dependency, and success measure for each milestone.
Product-led growthUse the growth and engagement frameworks above to choose an activation event, funnel metrics, and an experiment with a decision rule.
Unit economicsUse the formulas above or the bundled worksheet; keep time periods and customer segments consistent.

For repeatable calculations, create a worksheet or a small script for the user's actual inputs and validate its outputs. Do not imply that a calculation also retrieved current market data.

Frequently asked questions

What does the Product Strategist AI skill do?

Expert product strategy covering market analysis, competitive positioning, go-to-market planning, and product-led growth.

Why use Product Strategist on TypingMind?

Because you install it once and use it with any model. Product Strategist 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 Product Strategist in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MaxMiksa/Auto-Company/tree/main/.claude/skills/product-strategist. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Product Strategist?

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 Product Strategist?

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

Is the Product Strategist AI skill free?

Yes. It is published on GitHub by MaxMiksa 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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