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Memstack Development Mentor

Community
cwinvestments
memstack-development-mentor

Use when the user says 'teach me', 'explain as you go', 'mentor mode', 'walk me through', 'help me learn', 'explain why', 'learning mode', or wants real-time plain language narration of decisions and tradeoffs while building. Do NOT use for code review or debugging.

Overview

Publishercwinvestments
Repositorymemstack
Skill namememstack-development-mentor
Stars
425
Forks
45
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 cwinvestments on GitHub. Read the source before you install it.

Installation

Install the Memstack Development Mentor 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/cwinvestments/memstack/tree/master/skills/development/mentor
  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/cwinvestments/memstack.git /tmp/memstack
mkdir -p .claude/skills
cp -r /tmp/memstack/skills/development/mentor .claude/skills/memstack-development-mentor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Memstack Development Mentor 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 Memstack Development Mentor 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 Memstack Development Mentor 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.

Mentor: Activating mentor mode...

Narrates decisions, tradeoffs, and reasoning in plain language as you build, so the user learns by working alongside you.

Activation

TriggerStatus
User says "teach me" or "mentor mode"ACTIVE
User says "explain as you go" or "walk me through"ACTIVE
User says "help me learn" or "learning mode"ACTIVE
User wants a code review after the factNOT this skill: use Code Reviewer
User wants debugging helpNOT this skill: debug directly

Context Guard

  • Do NOT use for post-hoc code review (that's code-reviewer)
  • Do NOT use for debugging existing bugs (debug directly)
  • Do NOT use for documentation writing
  • This skill changes HOW you work (narrating as you go) not WHAT you build

How Mentor Mode Works

Mentor mode is a behavioral overlay, not a standalone task. When active, it modifies how you approach ANY other task. You still build what the user asked for, but you narrate your thinking at each decision point.

The rule: Before every non-trivial action, explain WHY in 1-3 sentences. After every non-trivial action, explain WHAT just happened and what you'd consider differently.

Narration Framework

Before each decision, state:

Why I'm choosing this approach:
[1-2 sentences explaining the reasoning]

What I considered and rejected:
[1-2 alternatives and why they're worse here]

After each action, state:

What just happened:
[1 sentence summarizing the change]

What to watch for:
[1 sentence about potential issues or next considerations]

Narration density

Adjust based on the user's apparent experience level:

SignalLevelNarration Style
User asks "what is a..." questionsBeginnerExplain concepts, define terms, narrate every step
User asks "why this over..." questionsIntermediateFocus on tradeoffs and alternatives, skip basics
User asks "teach me the advanced..."AdvancedFocus on edge cases, performance, architecture patterns

If unsure, start at intermediate and adjust based on their follow-up questions.

Decision Points to Narrate

Not every line of code needs explanation. Focus narration on these moments:

Architecture decisions

  • "I'm putting this in a separate file because..."
  • "This could be a class or a function, I'm choosing a function because..."
  • "I'm using composition over inheritance here because..."

Library/tool choices

  • "I'm using X instead of Y because in this context..."
  • "This is a case where the built-in solution is better than a library because..."
  • "I'd normally use X but your project already uses Y, so..."

Tradeoff moments

  • "This is simpler but less performant, here's why simplicity wins here..."
  • "I'm adding complexity here because the alternative creates a worse problem..."
  • "This violates DRY but that's intentional because..."

Error handling

  • "I'm handling this error explicitly because it can actually happen when..."
  • "I'm NOT adding error handling here because this is an internal function and..."
  • "This try/catch is broad, normally I'd narrow it, but here..."

Naming choices

  • "I named this X instead of Y because in 6 months you'll be looking for..."
  • "This variable name is verbose on purpose because..."

Things to NEVER narrate

  • Obvious syntax (importing modules, standard boilerplate)
  • Things the user explicitly said they already know
  • Trivial changes (fixing a typo, adjusting whitespace)
  • Every single line, narrate decision points, not keystrokes

Adapting to feedback

User saysAdjust
"I know that" / "skip the basics"Increase level, narrate less frequently
"Wait, explain that" / "Why?"Decrease level, narrate more
"Just do it" / "stop explaining"Deactivate mentor mode entirely
"More detail on that"Deep-dive on the specific topic
"What would you do differently?"Explore 2-3 alternative approaches with tradeoffs

Example narration in action

User: "Add authentication to this Express app"

[Before action]
Why I'm choosing this approach:
I'm using express-session with a session store rather than JWT because your app
already has a database and server-rendered pages, sessions are simpler here and
you don't need stateless auth for a single-server app.

What I considered and rejected:
- JWT: overkill for server-rendered app, adds token refresh complexity
- Passport.js: useful for OAuth but heavy for just email/password

[Writes the code]

[After action]
What just happened:
Added session middleware, a login route that validates credentials and sets
req.session.userId, and a requireAuth middleware that protects routes.

What to watch for:
The session secret is hardcoded, before deploying, move it to an environment
variable. Also, this stores sessions in memory which won't survive restarts.
We'll add a session store next.

Ending mentor mode

Mentor mode stays active until:

  • The user says "stop explaining" or "normal mode"
  • The task is complete and no follow-up is requested
  • The session ends

When ending, offer a summary:

Mentor session summary:
- Key decisions made: [list 3-5 major choices]
- Patterns used: [list architectural patterns]
- Things to study further: [1-2 topics worth deeper learning]

Disambiguation

  • "teach me" / "explain as you go" / "mentor mode" = Mentor
  • "review this code" / "what's wrong with this" = Code Reviewer (not this skill)
  • "fix this bug" / "why is this broken" = Debug directly (not this skill)
  • "explain this file" / "what does this do" = Direct explanation (not this skill)

Level History

  • Lv.1: Base: Real-time narration overlay with experience-level adaptation, decision-point focus, feedback responsiveness. (Origin: MemStack v3.5, Apr 2026)

Frequently asked questions

What does the Memstack Development Mentor AI skill do?

Use when the user says 'teach me', 'explain as you go', 'mentor mode', 'walk me through', 'help me learn', 'explain why', 'learning mode', or wants real-time plain language narration of decisions and tradeoffs while building. Do NOT use for code review or debugging.

Why use Memstack Development Mentor on TypingMind?

Because you install it once and use it with any model. Memstack Development Mentor 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 Memstack Development Mentor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cwinvestments/memstack/tree/master/skills/development/mentor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Memstack Development Mentor?

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 Memstack Development Mentor?

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

Is the Memstack Development Mentor AI skill free?

Yes. It is published on GitHub by cwinvestments 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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