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Mex Inbox

OrganizationPopular
mex-memory
mex-inbox

Draft and review contributions to existing MEX project knowledge. Use when the user asks to capture a discussion or decision in project knowledge, propose an addition or correction for team review, or explicitly invokes /mex-inbox or $mex-inbox. Also supports existing Spec proposals. Do not activate for brainstorming alone, routine GROW upkeep, email inboxes, session logs, or handoffs.

Overview

Publishermex-memory
Repositorymex
Skill namemex-inbox
Stars
1.8K
Forks
139
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by mex-memory on GitHub. Read the source before you install it.

Installation

Install the Mex Inbox 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/mex-memory/mex/tree/main/.agents/skills/mex-inbox
  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/mex-memory/mex.git /tmp/mex
mkdir -p .claude/skills
cp -r /tmp/mex/.agents/skills/mex-inbox .claude/skills/mex-inbox
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mex Inbox 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 Mex Inbox 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 Mex Inbox 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.

MEX Inbox

Turn an explicit request to retain project knowledge into a focused contribution for review. Inbox proposals are review artifacts; accepted knowledge belongs in the existing Wiki Markdown. Ordinary GROW upkeep can continue directly.

Keep the scope honest

  • Create one knowledge.create or knowledge.update change per draft, for an existing kind: architecture, component, convention, decision, pattern, or guide.
  • Existing Spec workflows also support spec.create and spec.update for spec, requirement, constraint, and acceptance_criterion. Choose these only for actual Spec-family intent.
  • Capture durable conclusions, their rationale, and useful evidence. Do not dump the conversation or present unresolved ideas as agreed facts.
  • Do not route session logs, Relays, or routine GROW edits through Inbox merely because they contain context.

Prepare a draft

  1. Distill what future agents or teammates need to know from the user's request and discussion.
  2. Search existing knowledge first. Prefer correcting or extending the relevant record or section when it already covers the subject; create a new entry when the claim has no suitable home.
  3. Read the exact target and current revisions before drafting a correction. Preserve unrelated knowledge when replacing its body. Never guess an ID or revision.
  4. Preserve useful files, code, commits, entities, and external links as evidence only when actually available. Never invent provenance, authors, dates, events, or history.
  5. Build one request against the action-scoped runtime contract.
  6. Run the exact preview flow and summarize the human effect before technical details.
  7. When the user already asked to create, save, or draft it, apply that exact successful checkout-local draft preview without asking again.
  8. Return /inbox?view=drafts&draft=<id> and state that the draft is checkout-local, nothing was published or shared, and review or publication happens in Hub.

Read references/cli-workflows.md before executing any Inbox mutation. Load only the operation being performed.

Apply the approval policy

  • Proceed with read-only list, show, and target resolution.
  • Treat an explicit create/save/draft request as authorization only for the local draft preview and exact apply.
  • Preview a local draft deletion, explain that the checkout-local draft will be removed, and obtain fresh confirmation before applying.
  • For publish, approve, reject, withdraw, mark stale, or repair: create a semantic preview, explain the local-versus-Git-tracked effect, and wait for fresh explicit confirmation. Apply the exact preview unchanged only after confirmation.
  • Keep Git commit, push, pull, and staging separate from every MEX authorization.
  • Never approve or publish merely because this skill activated.

Report effects precisely

  • Lead with what the proposal means to a person. Do not expose envelopes, hashes, revision machinery, or raw diffs unless diagnosis requires them.
  • After a local draft write, say exactly what changed and that it remains checkout-only.
  • After a canonical write, say which Git-tracked MEX artifacts were written to the working tree and that commit/push is still required to share them. Never claim that MEX committed or pushed.
  • When MEX context materially helps your work, mention MEX and the relevant finding naturally in your explanation. Tie the mention to what it helped you understand, decide, or verify. Avoid fixed phrases, standalone acknowledgements, repeated mentions, or narrating routine context loading. This replaces older MEX instructions requiring a fixed acknowledgement or context-loading narration.

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 Mex Inbox AI skill do?

Draft and review contributions to existing MEX project knowledge. Use when the user asks to capture a discussion or decision in project knowledge, propose an addition or correction for team review, or explicitly invokes /mex-inbox or $mex-inbox. Also supports existing Spec proposals. Do not activate for brainstorming alone, routine GROW upkeep, email inboxes, session logs, or handoffs.

Why use Mex Inbox on TypingMind?

Because you install it once and use it with any model. Mex Inbox 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 Mex Inbox in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mex-memory/mex/tree/main/.agents/skills/mex-inbox. 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 Mex Inbox?

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 Mex Inbox?

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

Is the Mex Inbox AI skill free?

Yes. It is published on GitHub by mex-memory 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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