How many labels does the skill apply to a single conversation?

To avoid noise and maintain clarity, the skill follows the 'less is more' principle, typically applying only 1-3 of the most relevant labels.

Can this skill help me find specific emails later?

Yes, it includes query functions that allow you to filter conversations by shared label IDs, assignees, and team status.

Does it support nested or hierarchical labels?

Yes, the skill is aware of label hierarchies and aims to apply the most specific applicable label in a parent/child structure.

Does this skill create new labels in Missive?

No, the skill is designed to work exclusively with your existing label taxonomy to maintain organizational consistency and prevent label sprawl.

What happens if a conversation doesn't need a label?

The skill follows best practices to skip labeling for one-off conversations, spam, or messages already located in well-organized mailboxes.

Missive Labeling & Organization

Name: Missive Labeling & Organization
Author: jjeremycai

byjjeremycai

Collaboration Tools

Automates email categorization and inbox organization within Missive using existing label taxonomies and best practices.

About

This skill empowers Claude to efficiently manage Missive inboxes by applying a strategic labeling system based on established organizational structures. It categorizes conversations by project, action required, or priority while strictly adhering to the principle of using existing labels to avoid clutter. By focusing on searchability rather than just description, the skill ensures that labels remain effective filters for future retrieval, helping users maintain a clean and actionable workspace within the Missive platform.

Key Features

0 GitHub stars
Intelligent conversation categorization using existing Missive label taxonomies
Support for hierarchical label structures to ensure precise categorization
Strategic labeling logic that prioritizes searchability and reduces inbox noise
Anti-pattern detection to prevent over-labeling and redundant metadata
Automated workflow for listing, filtering, and applying shared labels to messages

Use Cases

Triaging daily emails by assigning priority labels like 'Needs Action' or 'Urgent'
Organizing high-volume team inboxes by client, project, or department
Filtering and retrieving specific conversations using label-based query parameters

About

Key Features

0 GitHub stars
Intelligent conversation categorization using existing Missive label taxonomies
Support for hierarchical label structures to ensure precise categorization
Strategic labeling logic that prioritizes searchability and reduces inbox noise
Anti-pattern detection to prevent over-labeling and redundant metadata
Automated workflow for listing, filtering, and applying shared labels to messages

Use Cases

Triaging daily emails by assigning priority labels like 'Needs Action' or 'Urgent'
Organizing high-volume team inboxes by client, project, or department
Filtering and retrieving specific conversations using label-based query parameters