Memoire V2 Surface Map logo

Memoire V2 Surface Map

Organization
memi-design
memoire-v2-surface-map

Connect the memi v2 public surfaces before publishing, onboarding agents, or writing docs.

Overview

Publishermemi-design
Repositorydesign-skills
Skill namememoire-v2-surface-map
Stars
7
Forks
0
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by memi-design on GitHub. Read the source before you install it.

Installation

Install the Memoire V2 Surface Map 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/memi-design/design-skills/tree/main/skills/memoire-v2-surface-map
  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/memi-design/design-skills.git /tmp/design-skills
mkdir -p .claude/skills
cp -r /tmp/design-skills/skills/memoire-v2-surface-map .claude/skills/memoire-v2-surface-map
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Memoire V2 Surface Map 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 Memoire V2 Surface Map 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 Memoire V2 Surface Map 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.

Memoire v2 Surface Map

Deprecated compatibility slug. Use memoire-design-tooling for current public-surface and release verification.

Use this Note when a task needs the memi ecosystem linked consistently across npm, MCP, Agent Skills, Codex plugin, Studio, sandbox, and community Notes.

Canonical surfaces

SurfaceSourceRequired link or command
npm package@memi-design/clinpm i -g @memi-design/cli
CLI prooflocal memi binarymemi diagnose, memi ux audit --json, memi craft audit --json, memi tokens --from ./src --report
MCP serverserver.json in memi-design/memimemi mcp start --no-figma
Agent Skillsskills/memoire-design-tooling/SKILL.mdnpx skills add memi-design/memi --skill memoire-design-tooling
Codex pluginplugins/memoirecodex plugin marketplace add memi-design/memi --ref main --sparse .agents/plugins --sparse plugins/memoire
macOS Studiomemi-design/memi-studioCurrent Tauri/Rust-backed companion linked to CLI and MCP workflows
Proof sandboxmemi-design/design-sandboxpnpm memi:agent, pnpm memi:diagnose, pnpm memi:ux, pnpm verify
Design Skillsmemi-design/design-skillsnpx skills add memi-design/design-skills or memi notes install <name> --catalog https://memoire.cv/notes/community/catalog.v1.json

Review checklist

  1. The npm package link points to https://www.npmjs.com/package/@memi-design/cli.
  2. MCP docs use memi mcp start --no-figma for the safe default path.
  3. Agent docs include both memi agent install --dry-run --json and the Agent Skills install command.
  4. Studio docs describe the macOS app as the supervised workbench, not a replacement for the CLI engine.
  5. Sandbox docs include commands that a user can run without Figma.
  6. Community Note docs point to the community catalog and keep sourceUrls, lastResearchedAt, and freshnessDays fresh.

Handoff language

Use this concise summary when linking surfaces:

text
memi is interface understanding for AI coding agents. Install the npm CLI, expose the MCP server locally, add the Agent Skills package, use the Tauri/Rust macOS Studio app for supervised runs, and verify everything in the design-sandbox proof repo.

Sources

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 Memoire V2 Surface Map AI skill do?

Connect the memi v2 public surfaces before publishing, onboarding agents, or writing docs.

Why use Memoire V2 Surface Map on TypingMind?

Because you install it once and use it with any model. Memoire V2 Surface Map 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 Memoire V2 Surface Map in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/memi-design/design-skills/tree/main/skills/memoire-v2-surface-map. 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 Memoire V2 Surface Map?

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 Memoire V2 Surface Map?

As many as you like. As long as a model supports skills, you can use Memoire V2 Surface Map with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Memoire V2 Surface Map AI skill free?

Yes. It is published on GitHub by memi-design 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.

View all

Set up your own AI workspace now

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