What is the goal of the Compound Engineering Analyzer?

The goal is to transform manual, repetitive development work into automated systems and captured knowledge that accelerates future work.

Does this skill automatically write the automation scripts?

It identifies the opportunities and provides an implementation approach; you can then prompt Claude to execute those specific automation tasks based on the analyzer's output.

When is the best time to trigger the analyze skill?

You should trigger it immediately after finishing a feature, fixing a bug, or completing a code review while the context is fresh.

How does this improve team productivity?

By identifying delegation opportunities and systematizing architectural knowledge, it reduces the cognitive load on developers and prevents the recurrence of known issues.

Compound Engineering Analyzer

Name: Compound Engineering Analyzer
Author: aviflombaum

byaviflombaum

•

생산성 및 워크플로

Identifies automation and systematization opportunities within development workflows to create long-term efficiency gains.

소개

The Compound Engineering Analyzer is a post-development diagnostic tool designed to transform one-off coding tasks into reusable systems and automated processes. By examining completed features, bug fixes, or reviews, it pinpoints tasks suitable for delegation to specialized agents, identifies patterns for workflow automation, and extracts architectural knowledge to prevent future issues. This skill helps developers move beyond tactical delivery into a compound engineering mindset, ensuring that every interaction serves as a building block for exponential future acceleration.

주요 기능

Identifies recurring manual processes ripe for systematic automation
Reveals root causes to create automated prevention systems for future bugs
Extracts architectural decisions and problem-solving patterns into permanent knowledge
30 GitHub stars
Suggests independent workstreams for parallel development and execution
Maps subtasks to specialized agents for superior delegation efficiency

사용 사례

Analyzing a completed feature to identify which parts of the build process can be automated for the next iteration
Reviewing a complex bug fix to extract systemic lessons and create automated validation checks
Evaluating a development sprint to find delegation opportunities for specialized AI sub-agents

소개

주요 기능

Identifies recurring manual processes ripe for systematic automation
Reveals root causes to create automated prevention systems for future bugs
Extracts architectural decisions and problem-solving patterns into permanent knowledge
30 GitHub stars
Suggests independent workstreams for parallel development and execution
Maps subtasks to specialized agents for superior delegation efficiency

사용 사례

Analyzing a completed feature to identify which parts of the build process can be automated for the next iteration
Reviewing a complex bug fix to extract systemic lessons and create automated validation checks
Evaluating a development sprint to find delegation opportunities for specialized AI sub-agents