algernon-sprint

What This Skill Does

The algernon-sprint skill is a sophisticated study management tool designed for OpenAlgernon, focusing on the pedagogical technique of interleaved practice. Unlike standard review sessions that might focus on a single subject, this skill draws cards from all installed materials and shuffles them to ensure that different topics are interleaved. This cognitive strategy forces the brain to retrieve information across disparate contexts, which is scientifically proven to strengthen long-term memory retention. The skill automates the entire lifecycle of a study session, including a timed start, a structured review loop, and a concluding post-sprint retrieval test that calculates the specific retention gain achieved during the session.

Installation

You can install this skill directly using the OpenClaw CLI: clawhub install openclaw/skills/skills/antoniovfranco/algernon-sprint

Use Cases

• Pre-Exam Review: When you have a massive amount of material across multiple subjects and need to synthesize your knowledge before a deadline.
• Combatting Habituation: Use this to prevent your brain from becoming "lazy" by automatically alternating between biology, history, and physics cards.
• Data-Driven Studying: Ideal for users who want quantitative feedback on their learning progress via session retention and post-sprint retention metrics.
• Time-Boxed Focus: Perfect for deep work sessions where you need to restrict your review to 15, 25, or 45-minute blocks to maintain high focus levels.

Example Prompts

1. "25 minutos de revisao, vamos focar em todos os materiais."
2. "Quero fazer um sprint, estou precisando revisar vários materiais de uma vez."
3. "Algernon, iniciar modo pomodoro de 45 minutos para os meus estudos."

Tips & Limitations

• Retention Metrics: The "Gain" metric provided at the end of the session is your most valuable indicator. A positive percentage suggests your active recall is improving. If the gain is negative, consider reviewing your notes before starting the next sprint.
• Interleaving: Do not manually sort your cards by subject before starting; the skill is designed to handle this automatically to maximize interleaving efficiency.
• Database Dependency: This skill relies on a specific sqlite3 database structure. Ensure your $DB constant is correctly set to your local file path to avoid execution errors. If you have fewer cards than the minimum threshold for a duration, the skill will gracefully repeat cards to ensure you have enough material to sustain the timer.