Manage Anki flashcards via AnkiConnect on localhost:8765.
npx skills add https://github.com/vitalwarley/hyprdots --skill anki-vitalwarley
Please help me install this Agent Skill. Skill: anki Source: https://github.com/vitalwarley/hyprdots/tree/main/claude-global/skills/anki Command: npx skills add https://github.com/vitalwarley/hyprdots --skill anki-vitalwarley
Provides a simple, conversational bridge to manage Anki flashcards via AnkiConnect so users can create cards, search notes, and view deck statistics without manually interacting with Anki's UI or writing raw JSON requests.
Use the anki skill to add cards from the current conversation into the Claude deck via your local AnkiConnect instance.
High-intent search queries and answers about installing and using this skill.
You can create Anki flashcards directly from a conversation by using the AnkiConnect bridge to generate front/back notes with tags and add them to a specified deck via localhost:8765. This eliminates the need to manually interact with the Anki UI.
To use AnkiConnect for managing flashcards locally, you need the Anki desktop application running with the AnkiConnect plugin installed and accessible at localhost port 8765. The Skill communicates using JSON-RPC over HTTP to call AnkiConnect actions.
Yes, you can search Anki notes and view deck statistics during a session by running AnkiConnect queries to find notes and display front text and tags, as well as retrieving deck review counts to monitor your study progress.
You can organize new study material by using AnkiConnect to create new decks on demand. This allows you to dynamically categorize and manage flashcards generated from your current learning context into distinct decks for later review.
The best way to automate Anki card creation from text is through a conversational bridge that uses AnkiConnect JSON-RPC actions like addNotes. This extracts learning points from your discussion and automatically formats them as tagged flashcards.
Your AnkiConnect integration may not work if the Anki desktop application is not actively running or if the AnkiConnect plugin is not properly configured to listen on localhost port 8765. Ensure Anki is open and the plugin is accessible before sending JSON-RPC requests.
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