🐛 Tune Detection
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
About Tune Detection
This skill tunes exercise detection thresholds to improve rep counting accuracy and reduce false positives across workouts.
The 17-word prompt provides structured debugging guidance — covering detailed methodology and consistent output formats. Install it in one command.
Use Cases
- Systematically diagnosing production errors and crashes
- Tracing memory leaks and performance bottlenecks
- Debugging async race conditions and concurrency issues
- Root-cause analysis with structured logging
Example Prompts
System Prompt (17 words)
This skill tunes exercise detection thresholds to improve rep counting accuracy and reduce false positives across workouts.
Frequently Asked Questions
What is Tune Detection?
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.
How do I use Tune Detection with Claude Code?
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.
Which AI coding agents work with Tune Detection?
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.
Is Tune Detection free to use?
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.
