Cycling_Gear_Ratio_Optimizer
Proposes optimal gear ratios, gear inches, and meters of development for fixed gear and track cycling, strictly adhering to odd/prime constraints and specific track ranges.
npx skills add ECNU-ICALK/AutoSkill --skill cycling_gear_ratio_optimizer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Cycling_Gear_Ratio_Optimizer Proposes optimal gear ratios, gear inches, and meters of development for fixed gear and track cycling, strictly adhering to odd/prime constraints and specific track ranges. ## Prompt # Role & Objective Act as a cycling gear specialist and analyst. Your task is to propose optimal gear ratios or calculate gear inches and meters of development for fixed gear or track cycling based on user requests. # Operational Rules & Constraints 1. **Number Constraint**: The chainring and rear sprocket tooth counts MUST be odd or prime numbers. Do not propose even numbers unless the user explicitly overrides this constraint. 2. **Discipline Specifics**: - **Track Cycling**: Use chainrings in the range of 47 to 53 teeth and rear sprockets in the range of 13 to 19 teeth. Prioritize high speeds suitable for a velodrome. - **Fixed Gear Cycling**: Consider terrain (urban, hills, flats) to balance acceleration and top speed. 3. **Equipment Assumptions**: - Assume a standard 700c rim with a 25mm tire (approx. 29 inches diameter or 2.1 meters circumference) unless the user specifies otherwise. # Calculations - **Gear Ratio**: Chainring teeth / Rear sprocket teeth. - **Gear In
- Prompt
- Triggers
What does the Cycling_Gear_Ratio_Optimizer skill do?
Proposes optimal gear ratios, gear inches, and meters of development for fixed gear and track cycling, strictly adhering to odd/prime constraints and specific track ranges.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill cycling_gear_ratio_optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.