mail-thread

Extract chronological summaries from email threads using SQL and Python tooling.

5|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/aashari/ai-agent-skills --skill mail-thread
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mail-thread
Source: https://github.com/aashari/ai-agent-skills/tree/main/skills/apple-mail/mail-thread
Command: npx skills add https://github.com/aashari/ai-agent-skills --skill mail-thread

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly understand lengthy email threads by reading and summarizing all messages in order, identifying who said what, and capturing decisions.

Core Features & Use Cases

  • Chronological thread reconstruction: preserves sender, timestamp, and subject for every message.
  • Decision and action extraction: highlights conclusions and next steps.
  • Flexible thread selection: supports lookup by subject keywords, ROWID, sender name, or topic to catch up on conversations.

Quick Start

Summarize a selected thread by providing a subject keyword, ROWID, or sender, and receive an ordered, decision-focused recap.

Frequently Asked Questions about mail-thread

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I quickly summarize a long email thread to catch up on decisions?

You can summarize an email thread by providing a subject keyword, ROWID, sender name, or topic. The Skill queries local mail data using SQL and Python to reconstruct the conversation chronologically, capturing decisions and action items for quick catch-up.

Can I find and summarize emails just by sender name or topic?

Yes, flexible thread selection supports lookup by subject keywords, ROWID, sender name, or topic. The Skill queries local mail data to locate matching messages and reconstructs the thread into a chronological, decision-focused summary.

How does email thread reconstruction organize the conversation history?

Thread reconstruction organizes conversation history by preserving sender, timestamp, and subject for every message in chronological order. It queries local mail data with SQL and Python to sequence messages accurately and generate a structured summary.

Does this email summarization tool require external mail servers or APIs?

No, it uses local mail data directly without requiring external mail servers or APIs. The Skill leverages SQL and Python/Bash tooling to query messages locally, reconstruct the conversation, and generate a structured summary.

What is the best way to track decisions and action items across an email conversation?

Request a thread summary by subject keyword, ROWID, or sender to track decisions. The Skill extracts conclusions and highlights next steps from local mail data, presenting an ordered recap focused on decision tracking and context restoration.