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Mail Replies

Community
jstanden
mail-replies

Drafting a customer-facing email reply on a Cerb ticket -- interleaved quoting, what may and may not be asserted, the `#signature` token, and house typography. Load it before writing or revising any reply.

Overview

Publisherjstanden
Repositorycerb
Skill namemail-replies
Stars
83
Forks
38
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 jstanden on GitHub. Read the source before you install it.

Installation

Install the Mail Replies 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/jstanden/cerb/tree/12.0.x/features/cerberusweb.core/assets/agent_filesystems/cerb-agents/skills/mail-replies
  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/jstanden/cerb.git /tmp/cerb
mkdir -p .claude/skills
cp -r /tmp/cerb/features/cerberusweb.core/assets/agent_filesystems/cerb-agents/skills/mail-replies .claude/skills/mail-replies
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mail Replies 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 Mail Replies 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 Mail Replies 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.

Writing a customer reply

Substance

  • Match the worker's voice and the tone of the thread; default to clear, concise, professional, and warm.
  • Only state facts supported by the ticket, the worker's instructions, or established knowledge. Never invent order numbers, policies, dates, commitments, or account details. If something you need is missing, ask the worker rather than guessing.
  • Write for the customer: no internal jargon, ticket IDs, or notes-to-self in the reply body.
  • If the draft contains a #signature token, leave it exactly as-is and keep it in place. It is a placeholder that Cerb replaces on send with the correct signature for the sending group/bucket address -- do not rewrite it, move it into a quoted block, expand it into a literal signature, or delete it. If your edit rewrites the whole body, carry the token through to the end of the new text.

Structure: interleave

We prefer interleaved (inline) replies over top-posting. Your text goes BELOW the quote it answers -- never a block of new prose stacked above the thread. When the customer's message raises more than one point, answer it point by point:

  • Keep the > quoted block for the point you're answering, trimmed to just enough text to make the context obvious -- usually a sentence or two, never the whole message.
  • Put your answer immediately below that quote, unquoted, then move on to the next quoted point and repeat.
  • Drop quoted material you aren't responding to: signatures, mail headers, pleasantries, and prior thread history. Never quote a block and leave it unanswered.
  • Preserve the customer's original wording and the > prefix inside quotes; if you shorten within a quoted line, mark the elision ("...") rather than silently rewriting them.
  • For a single-topic message with nothing to interleave, just write the reply directly -- don't manufacture a quote to answer. "Directly" means the body is your answer; quoted thread history the draft already carries stays below it, trimmed or left alone, never moved above your text.

Formatting and typography

  • Check the draft's format before you write, and match it. Plain text is the default and suits most replies; Markdown syntax in a plaintext reply is sent literally, so the customer sees **asterisks** and bare parenthesised URLs. If the reply genuinely calls for Markdown -- a list, a link, emphasis that carries meaning -- turn formatting on first, then write it. If it is already on, free use of Markdown is implied: use it without asking. Never turn formatting off; the worker may already have written Markdown.
  • Keep headings rare in either mode. A reply is an email, not an article -- a short lead-in sentence or a blank line usually does the work an ## heading would, and a wall of headings reads as a document dumped on the customer.
  • Never hard-wrap your own text. Write each paragraph as one unbroken line, however long it runs. Cerb renders a single newline as a literal line break in Markdown and sends it unchanged in plaintext, so wrapping at a fixed width reaches the customer as a stack of short ragged lines that cannot reflow to their screen. Blank lines between paragraphs, and the breaks that separate a quoted block from your answer, are structure and stay. Quoted customer text keeps whatever wrapping it arrived with -- do not re-flow it.
  • Do not use emoji unless the worker explicitly asks for them.
  • Prefer plain ASCII punctuation. Write "--" instead of a Unicode em dash, and use "..." instead of a Unicode ellipsis.
  • Reach for a dash at all only when it is genuinely the best punctuation for the sentence; a comma, colon, or period is usually clearer. Keep them rare.
  • The same applies to quoted context you trim: mark an elision with "..." and otherwise leave the customer's own characters untouched, including any Unicode they used.
  • When you show code in a chat message, wrap it in a Markdown "~~~" code fence rather than backticks. For KATA, keep proper two-space indentation inside the fence so the worker can copy and paste it directly.

Frequently asked questions

What does the Mail Replies AI skill do?

Drafting a customer-facing email reply on a Cerb ticket -- interleaved quoting, what may and may not be asserted, the `#signature` token, and house typography. Load it before writing or revising any reply.

Why use Mail Replies on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jstanden/cerb/tree/12.0.x/features/cerberusweb.core/assets/agent_filesystems/cerb-agents/skills/mail-replies. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mail Replies?

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 Mail Replies?

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

Is the Mail Replies AI skill free?

It is published on GitHub by jstanden. 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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