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Analyze Teams chats and emails to build a reusable personal writing style profile.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "style-analyzer" skill from askskill: 1. Download https://raw.githubusercontent.com/microsoft/cat-agent-skills/main/submissions/style-analyzer/SKILL.md 2. Save it as ~/.claude/skills/style-analyzer/SKILL.md 3. Reload skills and tell me it's ready
Please analyze how I write across my Teams chats and sent emails, then summarize my common greetings, tone, length, punctuation, sign-offs, and favorite phrases into a reusable style profile.
A structured communication style summary describing the user's writing habits and common expressions.
Before helping me configure an auto-reply, analyze my recent Teams and Outlook sent messages and create a style guide that can mimic my voice.
A tone and phrasing guide that other assistants or automations can reuse.
Please identify my common phrases, delegation patterns, technical explanation style, and noticeable quirks from the emails and Teams messages I have sent.
A style analysis with frequent phrases, action patterns, and personalized communication details.
When a user wants an out-of-office reply or another assistant to sound like them, this skill can first analyze their Teams and email writing patterns and create a reusable style profile.
It suits office users who want consistent communication by extracting recurring habits such as greetings, tone, message length, punctuation, and sign-offs from past chats and emails.
Before drafting future emails, messages, or explanatory text, users can build a style profile so other skills can imitate their typical phrasing and communication patterns.
The README explains how to collect communication samples from Outlook sent mail and Teams chats, focusing on emails with real body content, active chats, and messages sent by the current user while keeping the sample diverse. It then analyzes style across dimensions such as greetings, tone, length, punctuation, sign-offs, common phrases, technical communication, and action patterns, outputs a structured summary table, and stores the profile in memory for reuse by other skills.
Analyze the user's communication patterns across Teams and Outlook and build a style profile that other skills or automations (e.g. an out-of-office auto-responder) can use to write in the user's voice. Save the profile to memory so it's available across sessions.
Tool names. This skill refers to Microsoft 365 tools as
m365_*and to memory as remember/recall tools. If your host exposes these under different names, map them to the equivalent capability.
from field to the
user's display name).Aim for:
Analyze the collected messages across these dimensions:
Present findings as a formatted table:
## Communication Style Profile for [Name]
| Dimension | Pattern |
|-----------|---------|
| Greetings | ... |
| Tone | ... |
| Length | ... |
| Emojis | ... |
| Sign-offs | ... |
| Technical | ... |
### Common phrases
- "..."
- "..."
### Quirks & notes
- ...
Store the style guide in memory. Use two entries to stay within any per-fact length limits:
Tag both as a preference so they persist and can be recalled later.
Tell the user:
All analysis happens inside the user's own agent environment against their own Microsoft 365 data. No communication content is sent to any third party. The saved profile describes how the user writes, not what they wrote — do not store verbatim private message content in the profile.
It analyzes the user's communication patterns in Teams chats and Outlook sent emails, including greetings, tone, length, punctuation, sign-offs, common phrases, and communication habits.
The documentation shows that results are presented as a structured style summary table with common phrases and quirks. The style guide is also saved to memory for later reuse.
According to the documentation, it relies on Microsoft 365 tools to read Teams and Outlook content and on memory capability to store the style profile. If the host uses different tool names, they need to be mapped to equivalent capabilities.
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