Extract lessons from training documents and update KNOWLEDGE_BASE.md.
npx skills add https://github.com/swishstar/vwpm-assistant --skill compress-memory
Please help me install this Agent Skill. Skill: compress-memory Source: https://github.com/swishstar/vwpm-assistant/tree/main/.cursor/skills/compress-memory Command: npx skills add https://github.com/swishstar/vwpm-assistant --skill compress-memory
This skill reduces the active context window by aggregating lessons learned and business preferences from training documents into KNOWLEDGE_BASE.md, then archives the raw sources to preserve provenance.
Instruct the system to run maintenance to compress memory by extracting insights from training/ and updating KNOWLEDGE_BASE.md, then archive the raw files.
High-intent search queries and answers about installing and using this skill.
To compress training documents into a knowledge base, extract lessons learned and business preferences from the training directory, merge them into KNOWLEDGE_BASE.md with deduplication, and archive the raw inputs after extraction.
Knowledge base deduplication works by identifying extractable insights from training files and merging new entries into KNOWLEDGE_BASE.md without duplicating existing records, ensuring a lean context window before archiving raw sources.
Yes, you need director approval to update KNOWLEDGE_BASE.md. The workflow implements a green-light approval step to present extracted changes before writing to the knowledge base and archiving processed training files.
You should run knowledge base maintenance for training documents during weekly intervals or upon director-initiated commands to actively reduce the context window by aggregating new lessons learned and business preferences.
The best way to archive raw training files after knowledge extraction is to move them to an archive directory after receiving green-light approval, preserving provenance while maintaining a lean working context in the knowledge base.
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