This skill tunes exercise detection thresholds to improve rep counting accuracy and reduce false positives across workouts.
npx playbooks add skill flow-club/vibereps --skill tune-detection
The Tune Detection skill is used for debugging and improves the accuracy of rep counting in workouts by adjusting exercise detection thresholds, which helps to reduce false positives. This skill is utilized when developers need to fine-tune the exercise detection system to provide more accurate results. It is specifically applied to workouts where rep counting accuracy is crucial.
The 17-word prompt provides structured debugging guidance — covering detailed methodology and consistent output formats. Install it in one command.
This skill tunes exercise detection thresholds to improve rep counting accuracy and reduce false positives across workouts.
Tune Detection is a free debugging skill for AI coding agents. This skill tunes exercise detection thresholds to improve rep counting accuracy and reduce false positives across workouts.. It provides a specialized system prompt that configures your agent with debugging expertise.
Run npx playbooks add skill flow-club/vibereps --skill tune-detection in your terminal to install Tune Detection into your Claude Code session. It works immediately after installation.
Tune Detection is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Tune Detection is completely free and open source. The full source is available on GitHub at https://github.com/flow-club/vibereps/tree/main/skills/tune-detection. You only need a subscription to the AI agent you use it with.
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