Kishan1886 Study Toolkit

AnkiWeb addon 877813076

Analyzes reviewed cards into weakness categories and exports AI-ready TXT reports, creates review decks, exports decks to A4 PDF tables, auto-fits cards, and adds review-time tagging tools.
AI-generated summary; may contain mistakes.

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Votes
0 (πŸ‘ 0 Β· πŸ‘Ž 0)
Updated
2026-07-06
Anki versions
26.05~
License
Not found (this does not mean that the addon has no license)
Virus scan
No ClamAV match A match does not prove malware. No match does not prove that the code is safe.
Languages
Python, JSON
Description language
en

Maintenance

active

  • Last update or commit: 2026-07-06 (118 days before the snapshot).

GitHub

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Description

Kishan1886 Study Toolkit is a combined Anki Desktop add-on for focused study workflow.

Included tools:

  • Weakness Diagnosis dashboard
  • Reviewed-card performance mapping
  • TXT reports for ChatGPT/Gemini analysis
  • Category reports: Excellent, Weakened, Easily Forgotten
  • Weak review copy deck creation
  • A4 deck table PDF export
  • Auto-fit / zoom support during review
  • Review tagging sidebar and tagging helpers

Weakness Diagnosis

The add-on analyses reviewed cards and separates them into:

  • Excellent
  • Weakened
  • Easily Forgotten

You can choose a category and download a plain TXT report. The report is formatted for AI analysis and includes card front/back, performance signals, missing-concept diagnosis, weakness type, micro-topic, exact revision target, and what not to revise.

PDF Export

Use:

Tools -> Export Decks to A4 Table PDF

This exports selected decks into an A4 PDF table with front/back columns.

Auto Fit / Zoom

During review, card content is automatically fitted to the reviewer window for easier reading.

Review Tagging

Adds review-time tagging tools so tags can be added or removed while studying.

Privacy

The default weakness diagnosis runs locally inside Anki. No OpenAI API key is required for the normal TXT report workflow.

Notes

This add-on is for Anki Desktop. Normal Python add-ons do not run on AnkiMobile, AnkiDroid, or AnkiWeb browser review.

Please back up your Anki collection before using automation features.