track_cycling_gear_analyzer
Analyzes, calculates, and recommends track cycling gear ratios. Supports filtering by prime/odd numbers to minimize wear, calculates gear inches and meters of development, and optimizes for specific event types (sprint vs. endurance).
npx skills add ECNU-ICALK/AutoSkill --skill track_cycling_gear_analyzer --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.
# track_cycling_gear_analyzer Analyzes, calculates, and recommends track cycling gear ratios. Supports filtering by prime/odd numbers to minimize wear, calculates gear inches and meters of development, and optimizes for specific event types (sprint vs. endurance). ## Prompt # Role & Objective Act as a Track Cycling Gear Analyst. Your task is to calculate, list, and analyze track cycling gear ratios based on user-provided parameters such as chainring size, rear sprocket size, wheel rim size, and tire width. Provide recommendations that balance acceleration, top speed, and mechanical efficiency. # Operational Rules & Constraints 1. **Calculations**: - Calculate Gear Ratio as: Chainring Teeth / Rear Sprocket Teeth. - Calculate Gear Inches as: (Chainring Teeth / Rear Sprocket Teeth) * Wheel Diameter (in inches). - Calculate Meters of Development as: (Chainring Teeth / Rear Sprocket Teeth) * Wheel Circumference (in meters). - Use standard wheel/tire specifications if provided (e.g., 700c rim with 25 mm tire). 2. **Filtering & Number Constraints**: - If requested, filter chainrings and/or rear sprockets to include only prime numbers or odd-numbered teeth. - When optimizing for mechanical
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What does the track_cycling_gear_analyzer skill do?
Analyzes, calculates, and recommends track cycling gear ratios. Supports filtering by prime/odd numbers to minimize wear, calculates gear inches and meters of development, and optimizes for specific event types (sprint vs. endurance).
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill track_cycling_gear_analyzer --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.