Run interactive recall sessions from concept briefs and prediction logs.
npx skills add https://github.com/vitalwarley/hyprdots --skill recall-vitalwarley
Please help me install this Agent Skill. Skill: recall Source: https://github.com/vitalwarley/hyprdots/tree/main/claude-global/skills/recall Command: npx skills add https://github.com/vitalwarley/hyprdots --skill recall-vitalwarley
This Skill turns ad-hoc knowledge gaps and failed predictions into focused active-recall practice and durable Anki flashcards so learners can close gaps and retain codebase concepts over time.
Use the recall skill to run a short interactive session that presents 3–5 questions from concept briefs and prediction gaps and then offer to export any new cards to Anki.
High-intent search queries and answers about installing and using this skill.
To convert learning gaps into Anki flashcards, this Skill reads concept briefs and prediction logs to run interactive active-recall sessions, then connects to AnkiConnect at localhost:8765 to export new Basic-model cards with source references.
Active-recall practice with spaced-repetition sessions works by prompting you to answer questions sourced from concept briefs and prediction logs, recording your results, and adapting question selection based on recall performance metrics.
Yes, you can use AnkiConnect to export active-recall study session results by connecting to localhost:8765, which creates Basic-model Anki cards containing source and code references from your completed recall sessions.
You need docs/learning/prediction-log.md and docs/learning/concepts files to run short study sessions, as the Skill reads these sources to select and present questions for your interactive active-recall practice.
The best way to review codebase concepts using spaced-repetition is running topic-focused review sessions that compute recall performance metrics, log results to prediction-log.md, and schedule future practice based on your recorded misunderstandings.
AnkiConnect fails to create flashcards from study sessions when the localhost:8765 connection is unavailable, as the Skill requires a running AnkiConnect instance to export Basic-model cards with source and code references.
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