Can I compare different time periods?

Yes, the --compare flag allows you to see a detailed statistical breakdown between the current analysis window and the previous period.

What is the minimum amount of data required?

The Trends skill typically requires at least 5 findings recorded over a minimum period of 2 weeks to generate meaningful insights.

How does the Trends skill gather its data?

The skill analyzes historical findings stored in your local repository under .claude/review-findings.jsonl and cross-references them with defined patterns.

Can I filter trends for a specific microservice?

Yes, by using the --service argument, you can isolate trend data and alerts for a specific directory or service.

Does it identify positive changes in the code?

Absolutely. The skill includes an 'Improvements' section that highlights patterns that are decreasing in frequency or have been completely resolved.

Pattern Trends & Insights

Name: Pattern Trends & Insights
Author: datum-cloud

bydatum-cloud

•

분석 및 모니터링

Analyzes code pattern trends over time to identify team improvements, security risks, and emerging technical debt.

The Trends skill for Claude Code provides deep visibility into the evolution of your codebase by tracking recurring patterns and anomalies across development cycles. By analyzing historical review data, it generates actionable alerts for escalating risks—such as unvalidated inputs or concurrency issues—while celebrating areas where the team has successfully resolved long-standing technical debt. It allows team leads and developers to compare development windows, isolate issues by specific services, and receive data-driven recommendations to improve overall code quality and maintainability.

주요 기능

01Data-driven recommendations for runbook updates and process improvements

02Side-by-side window comparisons to measure team progress

03Service-specific filtering for granular microservice insights

042 GitHub stars

05Historical trend analysis across custom time windows

06Automated priority alerts for escalating security and correctness risks

사용 사례

01Tracking the spread or reduction of specific security vulnerabilities across a repository

02Measuring the impact of internal training by monitoring anti-pattern decline

03Identifying emerging technical debt in specific services before it becomes critical

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add datum-cloud/claude-code-plugins trends

For use in Claude.ai and ChatGPT

주요 기능

01Data-driven recommendations for runbook updates and process improvements

02Side-by-side window comparisons to measure team progress

03Service-specific filtering for granular microservice insights

042 GitHub stars

05Historical trend analysis across custom time windows

06Automated priority alerts for escalating security and correctness risks

사용 사례

01Tracking the spread or reduction of specific security vulnerabilities across a repository

02Measuring the impact of internal training by monitoring anti-pattern decline

03Identifying emerging technical debt in specific services before it becomes critical

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add datum-cloud/claude-code-plugins trends

For use in Claude.ai and ChatGPT