How does this skill help with Terraform and OpenTofu?

It analyzes your git history to find how specific infrastructure resources have changed over time, highlighting risky patterns or frequent fixes associated with those specific modules.

Can it detect dependencies between different files?

Yes, it uses coupling analysis to identify which files typically change in the same commit, revealing hidden relationships between resources like VPCs, IAM roles, and Security Groups.

Does it require access to my git history?

Yes, the skill utilizes local git commands to perform archaeology on your repository history to extract patterns, author trends, and historical lessons.

How does it improve deployment safety?

By identifying warning patterns such as frequent reverts or emergency hotfixes in specific directories, it provides risk indicators before you apply new infrastructure changes.

Historical Pattern Analysis

Name: Historical Pattern Analysis
Author: lgbarn

bylgbarn

Deployment & DevOps

Analyzes git history and past infrastructure changes to identify recurring issues, patterns, and lessons learned for safer deployments.

About

The Historical Pattern Analysis skill empowers engineers to perform deep 'git archaeology' on infrastructure-as-code repositories. By examining commit frequency, resource coupling, and past incident data, it helps teams understand the context behind current configurations, identify high-risk resources, and apply historical wisdom to prevent regressions. It is particularly useful during pre-deployment planning, troubleshooting recurring bugs, or onboarding to a complex cloud environment where understanding the evolution of the codebase is critical.

Key Features

0 GitHub stars
Risk Assessment: Flags changes that mirror historically problematic patterns or high-frequency failure points.
Coupling Analysis: Identifies resources that frequently change together to reveal hidden dependencies.
Automated Reporting: Generates structured historical analysis reports with actionable recommendations.
Git Archaeology: Automated mining of commit history for specific files, authors, and patterns.
Incident Correlation: Connects current tasks to past hotfixes, reverts, and emergency changes.

Use Cases

Evaluating the risk of a high-impact Terraform plan by checking for similar past failures.
Understanding the evolution and ownership of complex VPC or IAM configurations.
Investigating the root cause of recurring infrastructure drifts or deployment bottlenecks.

About

Key Features

0 GitHub stars
Risk Assessment: Flags changes that mirror historically problematic patterns or high-frequency failure points.
Coupling Analysis: Identifies resources that frequently change together to reveal hidden dependencies.
Automated Reporting: Generates structured historical analysis reports with actionable recommendations.
Git Archaeology: Automated mining of commit history for specific files, authors, and patterns.
Incident Correlation: Connects current tasks to past hotfixes, reverts, and emergency changes.

Use Cases

Evaluating the risk of a high-impact Terraform plan by checking for similar past failures.
Understanding the evolution and ownership of complex VPC or IAM configurations.
Investigating the root cause of recurring infrastructure drifts or deployment bottlenecks.