slack-todo-extractor

To extract Slack TODOs from mentions, the Skill scans slack-sync data including thread replies and subsequent messages, classifying tasks as pending, in_progress, or completed, and outputs JSON or Markdown.

Yes, Slack thread analysis is automated by detecting mentions addressed to a specific user and aggregating their status across channels, eliminating manual curation and providing a centralized view of pending tasks.

The Slack TODO extractor supports optional Gemini 2.0 Flash LLM-based determination for status classification and deadline extraction, alongside standard keyword-based logic for identifying tasks.

You classify Slack task status by scanning thread replies and follow-up messages for target mentions, using either keyword-based status logic or optional Gemini LLM determination to output categorized JSON or Markdown.

You need the google-generativeai dependency to enable optional Gemini 2.0 Flash LLM-based determination for deadline extraction; standard keyword-based status tracking functions without it.

The best way to track Slack TODOs is using keyword-based logic or Gemini LLM to scan mentions and thread replies, generating a categorized JSON list of pending, in_progress, or completed tasks.