slack-task-manager

To extract tasks from Slack conversations, this Skill searches workspace channels and mentions to identify TODOs, classifying them by status levels like pending, in-progress, and completed. It returns a structured list of actionable items.

Prioritizing action items across Slack mentions is handled by aggregating tasks from multiple data sources and ranking them by urgency and due date. This surfaces a concise, prioritized list for quick project execution.

Yes, you can search Slack workspaces and channels to surface relevant conversations and status updates. The Skill performs semantic search over people and channels to identify and extract prioritized tasks for quick action.

You need an environment-configured API setup using python-dotenv and google-generativeai dependencies. This configuration allows the modular sub-skills to access Slack data and return structured task extraction results for downstream agents.

Yes, the task manager aggregates tasks from multiple Slack data sources, including workspaces, channels, and mentions. It extracts and prioritizes these action items into a single structured summary for downstream agents.