Official agent skill

Email Drafter

by github in github/awesome-copilot

Draft and review professional emails that match your personal writing style.

OfficialMITAuto-check passedWriting & Content

Install Email Drafter

skills CLI
$ npx skills add github/awesome-copilot --skill email-drafter -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot email-drafter --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/email-drafter .claude/skills/email-drafter && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
email-drafter
GitHub stars
40k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
583 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Draft and review professional emails that match your personal writing style.

  • Works in 4 steps: Gather Context → Analyze Tone → Draft the Email → …
  • Follow-up email
  • SKILL.md covers When to Use, Workflow, Important Rules and Example Prompts, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Email Drafter is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Draft and review professional emails that match your personal writing style. Analyzes your sent emails for tone, greeting, structure, and sign-off patterns via WorkIQ, then generates context-aware drafts for any recipient. USE FOR: draft email, write email, compose email, reply email, follow-up email, analyze email tone, email style.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Email writing and Brand voice and tone. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Follow-up email
  • Analyze email tone

Example prompts

  • “/email-drafter”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Gather Context
  2. Analyze Tone
  3. Draft the Email
  4. Output

What it can do on your machine

Read from SKILL.md and the folder at commit 7cce7cf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Email Drafter loads about 1.1k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 583 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 7cce7cf, republished under its MIT licence (© github). 583 words, ~1,142 tokens.

Download SKILL.mdSave it as .claude/skills/email-drafter/SKILL.md (or your agent's skills folder).
name
email-drafter
description
Draft and review professional emails that match your personal writing style. Analyzes your sent emails for tone, greeting, structure, and sign-off patterns via WorkIQ, then generates context-aware drafts for any recipient. USE FOR: draft email, write email, compose email, reply email, follow-up email, analyze email tone, email style.

Email Drafter

Draft professional emails that match your established writing style and tone. Uses WorkIQ to analyze your sent emails and prior correspondence with recipients, then produces context-aware drafts you can review and refine.

When to Use

  • "Draft an email to [person] about [topic]"
  • "Write a follow-up email to [customer] regarding [project]"
  • "Reply to [person]'s email about [subject]"
  • "Compose a proposal email for [initiative]"
  • "Analyze my email tone with [recipient]"

Workflow

Step 1 — Gather Context

Before drafting, collect:

  1. Recipient(s) — who is the email for?
  2. Purpose — what is the email about? (proposal, follow-up, technical guidance, introduction, status update, etc.)
  3. Key points — what needs to be communicated?
  4. Relationship context — use WorkIQ to check prior email history with the recipient if available

If the user provides all of these upfront, proceed directly. Otherwise, ask clarifying questions (max 3).

Step 2 — Analyze Tone

When drafting for a recipient, use WorkIQ to understand the user's established communication patterns:

  1. Pull 3–5 recent sent emails from the user to the same recipient or similar recipients
  2. Identify patterns:
    • Greeting style — formal ("Dear"), standard ("Hello"), casual ("Hi"), or direct (no greeting)
    • Structure — short paragraphs vs. bullet lists vs. numbered steps
    • Sign-off — what closing and name format the user typically uses
    • Formality level — professional, friendly-professional, casual
    • Language — which language the user writes in with this recipient
  3. Apply those patterns to the draft

If WorkIQ is unavailable or no prior emails exist, use sensible professional defaults and note that the tone was inferred.

Step 3 — Draft the Email

Apply the discovered (or default) style rules:

Greeting:

  • Match whatever greeting style was found in Step 2
  • Default: "Hello [FirstName]," for external, "Hi [FirstName]," for internal
  • For multiple recipients: "Hello [Name1], [Name2],"

Tone:

  • Direct and concise — no filler language
  • Friendly but professional
  • Get to the point quickly
  • Offer help proactively where appropriate ("Happy to discuss further", "Let me know if you need anything")

Structure:

  • Short emails (1–2 points): simple paragraphs, no bullets needed
  • Longer emails (proposals, multi-point updates): use bullet points or numbered lists
  • Include context from prior conversations when relevant ("Following our recent conversation about...")

Sign-off:

  • Match the user's established sign-off pattern from Step 2
  • Default: "Best regards," followed by the user's first name on the next line

Language:

  • Default to English unless the user specifies otherwise
  • Match the recipient's language if prior correspondence was in another language
Show full SKILL.md (190 more words)Show less
Step 4 — Output
  1. Present the draft for review with a brief note on the tone/style applied
  2. Apply edits as the user requests — iterate until satisfied
  3. Save the final draft to outputs/<year>/<month>/ with a descriptive filename (e.g., 2026-03-26-email-acme-followup.md)

Important Rules

  • Never send emails — only draft them as files for the user to review and send manually
  • Always check WorkIQ for prior context with the recipient when available
  • If the user says "draft email" or "write email", activate this skill automatically
  • Save drafts using the outputs/<year>/<month>/ folder convention
  • Respect privacy: do not include sensitive information from unrelated email threads

Example Prompts

  • "Draft an email to Sarah about the project timeline"
  • "Write a follow-up to the customer about their migration questions"
  • "Compose a proposal email for the new training initiative"
  • "Reply to John's email — agree with his approach but suggest we add monitoring"
  • "Analyze my email tone with the Acme team"

Requirements

  • WorkIQ MCP tool is recommended for tone analysis and recipient context (Microsoft 365 / Outlook)
  • Without WorkIQ, the skill still works but uses professional defaults instead of personalized tone matching
  • Output is saved as markdown files in the workspace

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/email-drafter of github/awesome-copilot.

Open the folder on GitHubat commit 7cce7cf

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Email Drafter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Email Drafter compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Email Drafter this skillgithub/awesome-copilot40k1 repos~1.1kAutomated safety check: PassMIT
Write Like Me Bootstrapjxnl/personal-monorepo-template562—~1.1kAutomated safety check: PassNone
Email Voice Profileyc-software/qm15k—~856Automated safety check: PassMIT
Email Draft In Voiceyc-software/qm15k—~481Automated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
Khazix WeChat Article WriterKKKKhazix/khazix-skills21k2 repos~2.9kAutomated safety check: PassMIT

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Questions about Email Drafter

What does Email Drafter do?

Draft and review professional emails that match your personal writing style. Email Drafter is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Draft and review professional emails that match your personal writing style.

When should I use Email Drafter?

Email Drafter fits situations like: follow-up email; analyze email tone.

How do I install Email Drafter in Claude Code?

Run `npx skills add github/awesome-copilot --skill email-drafter -a claude-code`. Or copy the skill folder (skills/email-drafter in github/awesome-copilot) into .claude/skills/email-drafter in your project. Claude Code loads it when a task matches its description.

How do I install Email Drafter in Codex?

Run `npx skills add github/awesome-copilot --skill email-drafter -a codex`. Or copy the skill folder (skills/email-drafter in github/awesome-copilot) into .agents/skills/email-drafter in your project. Codex loads it when a task matches its description.

Can I use Email Drafter in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill email-drafter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/email-drafter, .gemini/skills/email-drafter, .github/skills/email-drafter and .opencode/skills/email-drafter in your project.

What does Email Drafter need to run?

SKILL.md names no scripts, command-line tools or credentials: Email Drafter is instructions for the agent only.

Does Email Drafter access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Email Drafter safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Email Drafter use?

Email Drafter is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Email Drafter use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Email Drafter?

Skills that share tags, products or a category with Email Drafter: Write Like Me Bootstrap (jxnl/personal-monorepo-template, 562 stars), Email Voice Profile (yc-software/qm, 15k stars), Email Draft In Voice (yc-software/qm, 15k stars) and Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Email Drafter?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,792 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 8, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.