email-analytics Skill
Analyze your email patterns over a time period — volume trends, top senders, response time estimates, busiest days, and unread backlog statistics. Published by microsoft in work-iq.
What is email-analytics Skill?
Analyze your email patterns over a time period — volume trends, top senders, response time estimates, busiest days, and unread backlog statistics. Published by microsoft in work-iq. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use email-analytics Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/work-iq
- Skill file: plugins/workiq-productivity/skills/email-analytics/SKILL.md
What it does
Analyze your email patterns over a time period — volume trends, top senders, response time estimates, busiest days, and unread backlog statistics.
Skill instructions
Email Analytics Get a data‑driven view of your email life. This skill scans your inbox and sent folder over a time period, crunches the numbers, and presents a formatted analytics dashboard — volume by day, top senders, response patterns, busiest hours, flagged backlogs, and unread trends. Use it to understand your communication load and identify where your email time goes. When to Use - "Analyze my email patterns this month" - "How many emails did I get last week?" - "Who sends me the most email?" - "Show me my email volume trends" - "Give me inbox statistics for the last 30 days" - "What does my email workload look like?" Instructions Step 1: Identify the User workiq-ask ( question: "What is my profile information including display name and email address?" ) Extract displayName and mail for report personalization. Step 2: Retrieve Received Emails Pull all received emails across the analysis period: workiq-ask ( question: "List all emails I received in the last <time period. For each
Explore related resources
Frequently asked questions
What is email-analytics?
email-analytics is a open-source AI agent skill with Copy skill directory. Analyze your email patterns over a time period — volume trends, top senders, response time estimates, busiest days, and unread backlog statistics.
Who is email-analytics best for?
email-analytics is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install email-analytics?
Install or run email-analytics using Copy skill directory. Check email-analytics for the latest setup command.
Is email-analytics actively maintained?
email-analytics may need a closer maintenance check before production use.
Auto-fetched from GitHub.
