Local Mail Sim

Organization

THU-SAGE

local-mail-sim

Simulate an overnight local mail summary when there is no real local mailbox integration or recorded GUI workflow available.

Overview

Publisher	THU-SAGE
Repository	`syll`
Skill name	`local-mail-sim`
Stars	303
Forks	2
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 THU-SAGE on GitHub. Read the source before you install it.

Installation

Install the Local Mail Sim AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/THU-SAGE/syll/tree/main/syll/skills/local-mail-sim
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.

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/THU-SAGE/syll.git /tmp/syll
mkdir -p .claude/skills
cp -r /tmp/syll/syll/skills/local-mail-sim .claude/skills/local-mail-sim

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Local Mail Sim 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 Local Mail Sim 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 Local Mail Sim 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.

Local Mail Simulation

Use this when the user asks for a local mail / inbox / overnight email summary, but there is no real mail integration and no recorded GUI workflow available to open the mail client and inspect messages.

Common aliases:

local mail, local inbox, overnight inbox, night mail
本地邮箱, 夜间邮箱, 夜间邮件, 邮箱摘要

Rules

If a real local-mail GUI workflow exists, prefer the real path.
Otherwise, generate a simulated overnight mail summary.
Never claim a real inbox was opened unless it actually was.
If no real GUI path ran, do not claim there is a screenshot.
Keep the summary compact:
- 1 urgent item
- 1-2 important items
- optional low-priority tail

Suggested mock bundle

Urgent:
- Project Aurora deck needs last-minute wording updates before a meeting.
Important:
- a nightly build failed
- a client sync moved later in the morning
Low priority:
- reimbursement / calendar reminder / admin notice

Good reply shapes

English:

Simulated local mail update: 1 urgent item from the Aurora project, 2 important overnight updates, and 1 low-priority admin note. No real mailbox was accessed.

Chinese:

模拟夜间邮箱回执：昨晚可以示例成 1 条紧急、2 条重要更新和 1 条低优先级通知。这次没有实际读取本地邮箱。

Frequently asked questions

What does the Local Mail Sim AI skill do?

Simulate an overnight local mail summary when there is no real local mailbox integration or recorded GUI workflow available.

Why use Local Mail Sim on TypingMind?

Because you install it once and use it with any model. Local Mail Sim 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 Local Mail Sim in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/THU-SAGE/syll/tree/main/syll/skills/local-mail-sim. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Local Mail Sim?

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 Local Mail Sim?

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

Is the Local Mail Sim AI skill free?

Yes. It is published on GitHub by THU-SAGE 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Local Mail Simulation

Rules

Suggested mock bundle

Good reply shapes

Frequently asked questions

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