prune

To evaluate and remove weak investment theses, this Skill analyzes your research notes, sector data, and thesis logs to systematically identify outdated or low-conviction positions. It then recommends specific candidates for closure or upgrade to optimize overall portfolio performance.

Portfolio pruning is the systematic review and removal of low-conviction investment theses. It works by assessing the strength, freshness, and relevance of your theses against current sector data and research notes to recommend closure or upgrade actions.

You can identify low-conviction positions by commanding the AI to analyze your current thesis portfolio against sector data. The Skill assesses thesis strength and relevance, suggesting specific slow or unconvincing ideas for closure or upgrade.

Yes, you can clean up a large investment portfolio using your existing thesis logs and research notes. The Skill processes these inputs to evaluate thesis strength and freshness across multiple sectors, ensuring safety and consistency through manifest tracking and staged execution.

The best way to update ongoing investment theses for accuracy is to run a systematic review of your thesis logs and sector data. This Skill evaluates evidence and research data to recommend targeted upgrades for your active positions.

You should reconsider systematic portfolio pruning if your investment theses lack documented research notes, sector data, or thesis logs. The Skill requires these inputs to accurately assess thesis strength, freshness, and relevance for safe staged execution.