Metrics Frameworks logo

Metrics Frameworks

Community
menkesu
metrics-frameworks

Defines right metrics using North Star framework, AARRR, and leading vs lagging indicators. Use when choosing metrics, instrumenting products, creating dashboards, or distinguishing vanity metrics from actionable ones.

Overview

Publishermenkesu
Repositoryawesome-pm-skills
Skill namemetrics-frameworks
Stars
406
Forks
120
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 menkesu on GitHub. Read the source before you install it.

Installation

Install the Metrics Frameworks 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/menkesu/awesome-pm-skills.git /tmp/awesome-pm-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-pm-skills/metrics-frameworks .claude/skills/metrics-frameworks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Metrics 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 Metrics 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 Metrics 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.

Metrics That Matter

When This Skill Activates

Claude uses this skill when:

  • Choosing which metrics to track
  • Instrumenting product analytics
  • Creating dashboards
  • Defining success criteria

Core Frameworks

1. North Star Metric

Definition:

The ONE metric that best captures the core value you deliver to customers

Good North Star:

  • Measures value delivery (not vanity)
  • Leading indicator of revenue
  • Captures product vision
  • Actionable by team

Examples:

  • Airbnb: Nights booked
  • Facebook: Daily active users
  • Slack: Messages sent
  • Amplitude: Weekly learning users (in Spotify)

2. AARRR Framework

Pirate Metrics:

  • Acquisition: How users find you
  • Activation: First value experience
  • Retention: Users coming back
  • Revenue: Monetization
  • Referral: Viral growth

Action Templates

Template: Metrics Dashboard

markdown
# Metrics Dashboard: [Product/Feature]

## North Star Metric
**Metric:** [name]
**Current:** [value]
**Target:** [goal]
**Why this metric:** [captures core value]

## Supporting Metrics

### Acquisition
- Signups: [X per day]
- Channels: [breakdown]
- Cost per acquisition: [$X]

### Activation
- Activation rate: [X]%
- Time to first value: [X minutes]

### Retention
- Day 1: [X]%
- Day 7: [X]%
- Day 30: [X]%

### Revenue
- ARPU: [$X]
- LTV: [$X]
- Conversion rate: [X]%

### Referral
- K-factor: [X]
- Referral rate: [X]%

## Leading vs Lagging
**Leading (predict future):**
- [Metric that predicts outcome]

**Lagging (measure past):**
- [Metric that measures result]

Quick Reference

📊 Metrics Checklist

Choose Metrics:

  • North Star defined
  • AARRR covered
  • Leading indicators identified
  • Vanity metrics avoided

Implement:

  • Tracking instrumented
  • Dashboard created
  • Goals set
  • Review cadence established

Key Quotes

Amplitude:

"The best metrics measure value delivery, not just activity."

Sean Ellis:

"If you can't measure it, you can't improve it."

Frequently asked questions

What does the Metrics Frameworks AI skill do?

Defines right metrics using North Star framework, AARRR, and leading vs lagging indicators. Use when choosing metrics, instrumenting products, creating dashboards, or distinguishing vanity metrics from actionable ones.

Why use Metrics Frameworks on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/menkesu/awesome-pm-skills/tree/main/metrics-frameworks. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Metrics 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 Metrics Frameworks?

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

Is the Metrics Frameworks AI skill free?

It is published on GitHub by menkesu. 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.

View all

Set up your own AI workspace now

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