engineering-email-intelligence-engineer
CommunityTransform raw email threads into structured, actionable insights.
Content & Communication#email#AI integration#decision extraction#thread reconstruction#content deduplication#participant detection
Authorkayroalexandre
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of converting complex and unstructured email conversations into reliable, structured data suitable for AI processing and automation.
Core Features & Use Cases
- Email Thread Reconstruction: Accurately rebuilds conversation topology across forwards, replies, and forks, reducing content bloat and preserving context.
- Content Deduplication: Removes duplicated quoted reply content, decreasing token usage and improving processing efficiency.
- Participant & Decision Extraction: Identifies roles, actions, commitments, and relationships within email threads to support decision tracking and insights.
- Use Case: An enterprise team can automatically process thousands of email threads to summarize action items, track decisions, and enhance knowledge management.
Quick Start
Input raw email data and processing instructions into the email pipeline to generate structured context for AI agents.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: engineering-email-intelligence-engineer Download link: https://github.com/kayroalexandre/kayrogomesoff/archive/main.zip#engineering-email-intelligence-engineer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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