What problem does it solve?
Manually copying Slack threads and direct messages into your knowledge base is time-consuming, error-prone, and leads to lost work context when important discussions are buried in chat history. This Skill automates the entire process of fetching relevant Slack communications and formatting them for seamless integration with your knowledge base.
Core Features & Use Cases
- Configurable Slack Ingestion: Fetch messages from both public Slack channels and direct messages, with per-source settings for custom time windows and filtering modes.
- Smart Noise Filtering: Use the default
signal mode to exclude irrelevant messages like status updates, join/leave notices, and PR nudges, switch to all mode for full capture, or use a custom topic filter to ingest only discussions directly relevant to a specific subject.
- Use Case: For example, fetch all threads from your #architecture-decisions Slack channel from the last 30 days to automatically add past technical decisions to your knowledge base for future reference and decision tracking.
Quick Start
Tell the AI to fetch Slack messages from your configured channels and direct messages for the last 14 days and save them to your raw/slack folder.