Confidence & Goal Setting Knowledge
CommunityCalibrated running goals with honest uncertainty.
Data & Analytics#uncertainty#data-analysis#goal-setting#running#calibrated-predictions#athlete-coaching#riegel-formula
Authorpablovilas
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The skill provides calibrated, uncertainty-aware guidance for running performance goals, helping athletes avoid over-optimistic predictions and build sustainable targets.
Core Features & Use Cases
- Data-quality assessment: Evaluates training history, race results, and key metrics to determine confidence in predictions.
- Structured goal ranges: Generates A/B/C targets with explicit confidence and rationale, including finish likelihood for trails.
- Improvement guidance: Recommends data enhancements (e.g., longer training blocks, tune-up races) to improve prediction reliability.
Quick Start
Instruct the AI to generate a calibrated marathon goal set (A/B/C) based on your recent 12 weeks of training data, including long runs and any recent race results.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Confidence & Goal Setting Knowledge Download link: https://github.com/pablovilas/pacecraft/archive/main.zip#confidence-goal-setting-knowledge Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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