email-drafter

Solid

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.

AI & Automation 34,887 stars 4287 forks Updated today MIT

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Skill Content

# 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 ...

Details

Author
github
Repository
github/awesome-copilot
Created
1 years ago
Last Updated
today
Language
Python
License
MIT

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