What is a 'friction audit' in this context?

A friction audit is triggered when behavior compliance falls below 80%, shifting the focus from 'willpower' to identifying and removing the environmental or systemic barriers preventing execution.

How does it handle weekly reviews?

The skill calculates compliance percentages for each behavior, compares current outcomes to 4-week averages, and provides a YAML-formatted summary of insights and adjustments.

Can I use this for professional project tracking?

While optimized for personal metrics and behaviors, the trend analysis, leading/lagging indicators, and compliance logic are highly effective for any quantitative project management data.

Does this skill support database integration?

Yes, it includes pre-configured SQL queries specifically designed for Supabase to extract behavior logs, calculate compliance, and view trend comparisons.

What is the Metrics Review skill for Claude Code?

It is a specialized capability that structures the process of reviewing personal or system data, helping you identify trends, calculate compliance, and optimize your routines.

Metrics Performance Review

Name: Metrics Performance Review
Author: mberto10

bymberto10

Analytics & Monitoring

Analyzes tracked behaviors and outcomes to generate actionable insights and data-driven feedback loops.

About

This skill transforms Claude into a data analyst for personal and system performance, helping users extract meaningful signal from raw tracking logs. It provides a structured framework for daily glances, weekly audits, and monthly evaluations, automating the calculation of behavior compliance and trend identification. By comparing leading indicators to lagging outcomes and providing pre-built Supabase SQL queries, it enables users to tighten their feedback loops, identify friction points in their habits, and make evidence-based adjustments to their workflows.

Key Features

Multi-cadence review templates for daily, weekly, and monthly tracking.
Directional trend analysis comparing current data against 4-week historical averages.
0 GitHub stars
Integrated Supabase SQL queries for efficient data extraction and log analysis.
Leading vs. Lagging indicator analysis to correlate behavior changes with outcomes.
Automated compliance calculation using (days executed / days intended) metrics.

Use Cases

Performing a weekly habit audit to identify which behaviors are meeting the 80% compliance threshold.
Extracting insights from tracking data to decide which metrics to continue, investigate, or stop tracking.
Analyzing monthly target progress to evaluate if current systems and algorithms are producing desired results.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mberto10/mberto-compound metrics-review

For use in Claude.ai and ChatGPT

Download Skill

GitHub