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Aha Mapper

Community
ojiudezue
aha-mapper

Use when the user is designing activation, onboarding, or the free tier of a product. Triggers on phrases like "aha moment", "activation", "onboarding", "first-run experience", "what should be free", "free tier scope", "what's the smallest loop", "cold-start UX". Implements the Aha-Moment Smallest Loop framework from Ch 4 of Building Rocketships.

Overview

Publisherojiudezue
Repositoryproductmind-skills
Skill nameaha-mapper
Stars
81
Forks
18
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 ojiudezue on GitHub. Read the source before you install it.

Installation

Install the Aha Mapper 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/ojiudezue/productmind-skills/tree/main/skills/aha-mapper
  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/ojiudezue/productmind-skills.git /tmp/productmind-skills
mkdir -p .claude/skills
cp -r /tmp/productmind-skills/skills/aha-mapper .claude/skills/aha-mapper
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aha Mapper 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 Aha Mapper 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 Aha Mapper 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.

Aha Mapper

What this does

Runs Ch 4's Aha-Moment Smallest Loop framework. Identifies the smallest end-to-end loop that delivers the core value, anchored to the behavior of activated customers (the 80–90th percentile). Returns an aha statement, the smallest-loop spec, activation acceptance criteria, and the cognitive-orientation script the user needs to enter the loop. Refuses to recommend designs where the free tier paywalls any step of the loop.

When to use

Trigger when the user:

  • Is designing activation or first-run UX
  • Is deciding what belongs in the free tier
  • Has high signup-to-activation drop-off
  • Is choosing what the empty state should do
  • Is asking "what's the smallest version of this that still delivers value"

When NOT to use

  • The product has no activated users yet — you can't observe an 80–90th percentile loop until people have moved through one; run customer-discovery-week and the sharp-problem-test first
  • The user is asking about pricing tiers — that's pricing-tier-math
  • The user is asking about trial design — that's reverse-freemium-design
  • The user is asking how to onboard a specific feature — too narrow; this skill is for the aha loop, not feature tutorials

The framework (from Ch 4)

Step 1 — Find the actual aha moment from behavior

Look at the 80–90th percentile of activated customers — not all signups, just the ones who came back. What action(s) did they all perform within their first session or two that the inactive cohort did not?

That action is the aha. Not what marketing says it is. Not what the founder wants it to be. What activated users actually did.

Examples (the book's archetypes, paraphrased):

  • Slack: sent N messages in M channels
  • Calendly: created a link AND someone booked through it
  • Dropbox: installed on a second device

Step 2 — Trace the smallest loop to that aha

Working backward from the aha action, what is the minimum sequence of steps required? Every step that ISN'T required to reach the aha is optional and should be moved out of activation (see scope-cutter).

The smallest loop has three properties:

  • End-to-end — produces a meaningful outcome, not a checkpoint
  • Repeatable — the second time through is faster, not the same fixed-cost onboarding
  • Self-sustaining — completing once creates an incentive (and the capability) to complete again

Step 3 — Cognitive orientation

What mental model does the user need to enter the loop? Most activation failures are not "the UI is bad"; they're "the user doesn't know what this is for." A 30-second cognitive-orientation script (empty-state copy, a 3-line tooltip, a single animated example) closes the gap.

Step 4 — Acceptance criteria

  • Time to first aha: median activated user hits the aha within N minutes of signup. The book argues for sub-10-minute for most SaaS.
  • Activation rate: % of signups who complete the loop at least once in the first session
  • Repeat rate: % of first-loop completers who complete it again within their first week

The decision rule

Free tier must allow the entire aha loop, end-to-end, at limited scale. Nothing in the aha loop is paywalled.

This is non-negotiable in the book. A free user must be able to reach the aha without a paywall, a credit card, or an enterprise sales call. Limits are fine (volume, integrations, advanced configuration); blocks on the aha loop itself are not.

Refusal mode

If the user describes a design where any step of the aha loop is paywalled, gated, or blocked, return UNSOUND with the gap named. "Free up to step 4, pay at step 5 to actually see the result" is the classic anti-pattern. Refuse to recommend it. This pairs with the paywalled-final-step rule in reverse-freemium-design.

Inputs

  • The product or feature
  • What activated customers actually do (or current best guess)
  • Current activation funnel data, if any
  • Current free-tier vs paid-tier feature split

Output structure

## Aha map verdict: [SOUND | UNSOUND | NEEDS_MORE_EVIDENCE]

### Aha moment
[One sentence — the actual action that signals 'this user is activated']

### Smallest loop
1. [Step]
2. [Step]
3. [Step]
[Each step has the user input, the system response, and the time budget]

### Cognitive orientation
[The 30-second script — empty-state copy, single example, mental model]

### Acceptance criteria
- Time to first aha (median): N minutes
- Activation rate target: %
- Repeat-within-7-days target: %

### Free tier completes the loop?
[yes/no, with the named blockers if no]

### Recommendation
[Concrete next step]

### Analogous case from the book
[A named example]

Worked example from the book

Calendly (Ch 4) → SOUND

  • Aha moment: someone successfully booked a meeting through your link without back-and-forth email.
  • Smallest loop:
    1. Sign up + connect 1 calendar (~2 minutes)
    2. Create 1 event type with default settings (~30 seconds)
    3. Copy share link (~5 seconds)
    4. Recipient picks a slot and booking confirms (out of band, but completes the loop)
  • Cognitive orientation: "Paste this link in your email signature or DMs. When people click it, they pick a time from your real calendar. No more back-and-forth."
  • Acceptance criteria: activation = first inbound booking. Median time-to-aha around 5 minutes (signup + first link copy + first recipient action — the last step is what makes it real).
  • Free tier: completes the loop fully. Free users can copy links, receive bookings, and use the core scheduling workflow forever.
  • Verdict: SOUND. The defining example.

Gotchas

  • The aha isn't what marketing says. The brand promise ("save time on scheduling") is not the aha. The aha is the moment the user experiences the brand promise once. Look at behavior, not copy.
  • The smallest loop isn't a tutorial. A guided tour walking users through 17 features is NOT the smallest loop. The smallest loop is the user doing one real thing.
  • "Activation" without a repeat rate is vanity. A 90% activation rate where 5% return next week is worse than a 40% activation rate where 30% return. Measure the repeat too.
  • Cognitive orientation beats UI polish for activation. Most activation problems are "the user doesn't know what this is for," not "the buttons are ugly." Fix the script before redesigning the flow.

Anti-patterns to flag

If the user's plan has any of these, surface them:

  • "Free trial of the aha loop, paid version of the aha loop" — refuse; the aha must be free-tier accessible at limited scale
  • Onboarding tour of 8+ steps — almost certainly not the smallest loop; run scope-cutter on the required-step list
  • Activation measured by signup completion alone — meaningless; add a behavioral milestone (the actual aha action)
  • "We don't know what the aha is" — research gap; identify it before designing activation

Source

Ch 4: The Aha Moment and the Smallest Loop.


About this skill

This skill is part of the ProductMind Skills catalog — open-source product-judgment skills for AI coding agents.

Source: Building Rocketships by Oji and Ezinne Udezue — Chapter 4. This skill applies one named framework from the book. It works standalone in any agent that supports the SKILL.md standard.

Want the orchestrated version? The RocketshipsGPT agent runs all 13 book skills together, with persistent memory, framework-fidelity evals, voice-checked output, and the book's anti-pattern catches built in. → rocketshipsgpt.productmind.co

License: Skill content licensed under CC BY-SA 4.0. Attribution required; derivative works must share alike. See ADR 0005 for rationale.

Skill version: 1.0.0 · Published: 2026-06-05

Frequently asked questions

What does the Aha Mapper AI skill do?

Use when the user is designing activation, onboarding, or the free tier of a product. Triggers on phrases like "aha moment", "activation", "onboarding", "first-run experience", "what should be free", "free tier scope", "what's the smallest loop", "cold-start UX". Implements the Aha-Moment Smallest Loop framework from Ch 4 of Building Rocketships.

Why use Aha Mapper on TypingMind?

Because you install it once and use it with any model. Aha Mapper 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 Aha Mapper in TypingMind?

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

Which AI models can use Aha Mapper?

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 Aha Mapper?

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

Is the Aha Mapper AI skill free?

It is published on GitHub by ojiudezue. 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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