insight-manager

You can automate tech insights collection by aggregating content from LinkedIn/X, RSS feeds, newsletters, and YouTube into a unified repository. The system fetches raw data and summarizes key insights into structured, time-stamped blocks stored in project_knowledge.json.

The best way to summarize newsletters and social media posts is through recursive distillation. This process converts raw insights into structured blocks and proposes updates directly to your knowledge base, preserving contextual knowledge while reducing manual gathering time.

Automated knowledge base consolidation works by running health checks and automated cleanup on your distilled insights. It maintains freshness by consolidating context and ensuring your asset repository remains concise and up-to-date across all ingested channels.

Yes, you can store distilled insights from web scraping and RSS feeds into project_knowledge.json. The system assetizes summarized content from multiple channels into this centralized file as time-stamped insight blocks.

No external dependencies are required to run multi-channel insights distillation. The skill operates independently to fetch, summarize, and store content from sources like LinkedIn/X, RSS feeds, newsletters, and YouTube.

You should use automated cleanup to maintain a concise and up-to-date asset repository. It performs health checks and context consolidation to remove stale data, ensuring your distilled insights remain fresh and relevant.