Retrieve existing vault notes and episodic memory for a topic.
npx skills add https://github.com/robinslange/learning-loop --skill refresh-robinslange
Please help me install this Agent Skill. Skill: refresh Source: https://github.com/robinslange/learning-loop/tree/main/skills/refresh Command: npx skills add https://github.com/robinslange/learning-loop --skill refresh-robinslange
This skill surfaces what you already captured in the vault about a topic, without web research.
Ask /learning-loop:refresh with a topic to surface existing vault notes about that topic.
High-intent search queries and answers about installing and using this skill.
To recall existing vault notes on a topic, the system retrieves and surfaces existing notes and episodic memory without conducting external web research. This provides quick orientation and highlights knowledge gaps before discovery.
Episodic memory integration works by retrieving and surfacing past notes related to a topic using discrimination logic. It organizes results by knowledge depth and source type to guide reuse without creating new notes.
Organizing existing knowledge by depth during a project review is best handled by discriminating results into categories like strong, working, and raw. This identifies gaps and guides knowledge reuse without external searches.
Yes, you can identify gaps in your knowledge without web scraping by relying on vault search workflows and episodic memory integration. The system surfaces existing notes to show what you already know without creating new notes.
You should use a vault search workflow instead of external discovery when you need a quick orientation before exploration, during project reviews, or when re-engaging with a domain to identify knowledge gaps without creating new notes.
shakedfbExtract structured domain notes, tensions, and open questions from source documents.
KevinBeanGenerate and maintain Maps of Content for vault navigation.
ethan-rioConvert source notes and knowledge graph data into grounded wiki notes.
z1439527767Organize verified information into hierarchical, searchable knowledge repositories.
