awesome-fsrs
Awesome-fsrs provides a curated list of implementations, papers, and resources related to Flashcard Spaced Repetition Systems (FSRS) to help founders learn and implement effective learning techniques.
- •When researching spaced repetition algorithms for a learning or education-based startup
- •When looking for existing FSRS implementations to integrate into a product
- •When seeking academic papers and research on the effectiveness of FSRS for improving learning outcomes
To find implementations of FSRS in Python, look for the 'Python' category in the 'Implementations' section of the README and explore the listed repositories
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/awesome-fsrs && curl -fsSL https://workflowstacks.com/api/skills/awesome-fsrs/claude-skill -o ~/.claude/skills/awesome-fsrs/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Awesome-fsrs is a documents-only repository (1 doc file) — something you read, not something you run. There is nothing to install. Last commit this month, CC0-1.0 license.
- 1README.mdStart here — what it does and how to install it
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/awesome-fsrs && curl -fsSL https://workflowstacks.com/api/skills/awesome-fsrs/claude-skill -o ~/.claude/skills/awesome-fsrs/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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