goal-analyzer

Analyzes health goals and converts scattered data into SMART scores and progress insights.

919|121|Updated Dec 31, 2025
One-click install
npx skills add https://github.com/huifer/WellAlly-health --skill goal-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: goal-analyzer
Source: https://github.com/huifer/WellAlly-health/tree/main/.claude/skills/goal-analyzer
Command: npx skills add https://github.com/huifer/WellAlly-health --skill goal-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps individuals turn scattered health goal data into structured insights, enabling SMART goal validation, progress tracking, and personalized recommendations.

Core Features & Use Cases

  • SMART goal validation and scoring to quantify goal quality.
  • Progress tracking and trend analysis to forecast completion.
  • Habit and motivation analysis to sustain long-term adherence.
  • Data-driven recommendations for optimizing nutrition, exercise, and sleep.

Quick Start

Analyze the goal 'weight-loss' with current progress data and return SMART scores, progress trend, and next-step recommendations.

Frequently Asked Questions about goal-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze health goals to get SMART scores and progress insights?

Yes, SMART goal validation quantifies goal quality by evaluating specific, measurable, achievable, relevant, and time-bound criteria. It scores your health goals to ensure structured planning and effective progress tracking.

Can I track weight management and fitness progress trends?

Habit and motivation analysis examines your behavioral patterns to sustain long-term adherence to health goals. It evaluates progress data to provide recommendations that support ongoing habit formation and motivation maintenance.

What is the best way to convert scattered health data into actionable insights?

The best way to convert scattered health data is through structured SMART validation and progress trend analysis. This process transforms unstructured goal information into visual reports with data-driven recommendations for sleep, nutrition, and exercise.

Does progress tracking work for sleep optimization and dietary goals?

Yes, progress tracking works for sleep optimization and dietary goals. It applies SMART validation and trend analysis to these specific health areas, generating tailored recommendations and visual reports for ongoing management.