Product Frameworks

Community

yonatangross

product-frameworks

Product management frameworks for business cases, market analysis, strategy, prioritization, OKRs/KPIs, personas, requirements, and user research. Use when building ROI projections, competitive analysis, RICE scoring, OKR trees, user personas, PRDs, or usability testing plans.

Overview

Publisher	yonatangross
Repository	`orchestkit`
Skill name	`product-frameworks`
Stars	298
Forks	35
Bundled files	50
License	MIT
Links	Skill source Repository Homepage

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.
50 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by yonatangross on GitHub. Read the source before you install it.

Installation

Install the Product Frameworks AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/product-frameworks
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/product-frameworks

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/product-frameworks .claude/skills/product-frameworks

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Frameworks 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 Frameworks 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 Frameworks 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 Frameworks

Comprehensive product management frameworks covering business analysis, market intelligence, strategy, prioritization, metrics, personas, requirements, and user research. Each category has individual rule files in rules/ loaded on-demand.

Quick Reference

Category	Rules	Impact	When to Use
Business & Market	4	HIGH	ROI/NPV/IRR calculations, TCO analysis, TAM/SAM/SOM sizing, competitive landscape
Strategy & Prioritization	5	HIGH	Value proposition canvas, go/no-go gates, RICE scoring, WSJF ranking, opportunity cost
Metrics & OKRs	5	HIGH	OKR writing, KPI trees, leading/lagging indicators, instrumentation, experiment design
Research & Requirements	4	HIGH	User personas, journey maps, interview guides, PRDs

Total: 18 rules across 4 categories

Quick Start

markdown
## ROI Quick Calculation
ROI = (Net Benefits - Total Costs) / Total Costs x 100%

## RICE Prioritization
RICE Score = (Reach x Impact x Confidence) / Effort

## OKR Structure
Objective: Qualitative, inspiring goal
  KR1: Quantitative measure (from X to Y)
  KR2: Quantitative measure (from X to Y)

## User Story Format
As a [persona], I want [goal], so that [benefit].

Business & Market

Financial analysis and market intelligence frameworks for investment decisions.

business-roi -- ROI, NPV, IRR, payback period calculations with Python examples
business-cost-benefit -- TCO analysis, build vs buy comparison, sensitivity analysis
market-tam-sam-som -- TAM/SAM/SOM market sizing with top-down and bottom-up methods
market-competitive -- Porter's Five Forces, SWOT, competitive landscape mapping

Strategy & Prioritization

Strategic decision frameworks and quantitative prioritization methods.

strategy-value-prop -- Value Proposition Canvas, JTBD framework, fit assessment
strategy-go-no-go -- Stage gate criteria, scoring template, decision thresholds
prioritize-rice -- RICE scoring with reach, impact, confidence, effort scales
prioritize-wsjf -- WSJF cost of delay, time criticality, MoSCoW method
prioritize-opportunity-cost -- Opportunity cost matrix, cost of delay analysis, trade-off flagging

Metrics & OKRs

Goal-setting and measurement frameworks for metrics-driven teams.

metrics-okr -- OKR structure, writing objectives and key results, examples
metrics-kpi-trees -- Revenue and product health KPI trees, North Star metric
metrics-leading-lagging -- Leading vs lagging indicators, balanced dashboards
metrics-instrumentation -- Metric definition template, event naming, alerting
metrics-experiment-design -- Experiment design, guardrail metrics, staged rollout plans

Research & Requirements

User research methods and requirements documentation patterns.

research-personas -- User persona template, empathy maps, persona examples
research-journey-mapping -- Customer journey maps, service blueprints, experience curves
research-user-interviews -- Interview guides, usability testing, surveys, card sorting
research-requirements-prd -- PRD template, user stories, acceptance criteria, INVEST

Output Templates

Structured JSON output formats for consistent deliverables. Load: Read("references/output-templates.md") for PRD, business case, metrics framework, prioritization report, and research report templates.

Related Skills

ork:assess - Assess project complexity and risks
ork:brainstorm - Generate product ideas and features

Version: 2.0.0 (March 2026)

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 Product Frameworks AI skill do?

Why use Product Frameworks on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/product-frameworks. 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 Product Frameworks?

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 Frameworks?

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

Is the Product Frameworks AI skill free?

Yes. It is published on GitHub by yonatangross 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Product Frameworks

Quick Reference

Quick Start

Business & Market

Strategy & Prioritization

Metrics & OKRs

Research & Requirements

Output Templates

Related Skills

Bundled files

Frequently asked questions

Related AI Skills

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