Summary

This project addresses AI information overload with a suite of Agent Skills designed to filter AI content, identify valuable insights, and build a personalized knowledge base. It targets AI entrepreneurs, product managers, and independent developers, aiming to reduce attention waste and focus on actionable information.

How It Works

The core approach uses "AI super alignment," where Agents process information based on user background, goals, and judgment criteria. Key functions include summarizing, filtering by relevance, explaining importance, and archiving high-value material into a reusable knowledge base, prioritizing judgment over volume.

Quick Start & Requirements

Installation is recommended via an AI Agent instructed to install from GitHub (https://github.com/vincelele/ai-fomo-skills). Manual installation involves cloning the repo and copying skill directories. Prerequisites may include an AI Agent environment, X_BEARER_TOKEN for X (Twitter), and DASHSCOPE_API_KEY for audio transcription. The project is in "Alpha / developer preview" status.

Highlighted Details

• Personalized Filtering: Agents assess information value against user-defined criteria, not generic summaries.
• Actionable Knowledge: Content is transformed into reusable knowledge, signals, and digests, with specific learning notes for podcasts/videos.
• Advanced Xiaoyuzhou Integration: Supports importing podcasts, transcripts, and comments, with transcription and learning note generation.
• "Dry-run" Emphasis: Operations, especially account-based ones, are encouraged to be dry-run first to prevent unintended data commits.

Maintenance & Community

The README does not detail specific contributors, sponsorships, or community channels. Contribution guidelines are provided, welcoming new data source importers and improved user onboarding.

Licensing & Compatibility

The project is licensed under MIT. While generally permissive for commercial use, users are cautioned against publicly sharing sensitive workspace data, credentials, or API keys.

Limitations & Caveats

As an "Alpha / developer preview," the project is not yet a stable, general-purpose product. Features like scheduled collection and full Xiaoyuzhou subscription export are pending. Effectiveness relies heavily on user-provided context and feedback.