Does it provide actual code examples for the migration?

Yes, every specification includes 'before' and 'after' code examples derived from your actual project files to ensure accuracy.

What architectural patterns does the Spec Generator support?

It specifically handles Agent-Chain, Manager-Inversion, Hybrid-Agent, and Script-Extraction patterns to optimize how Claude interacts with your codebase.

How does this skill help reduce context token usage?

By identifying and generating specs for patterns like script extraction and modularization, it moves logic out of the main prompt window into more efficient structures.

Can it estimate how long a migration will take?

The skill calculates effort estimates in developer days based on the complexity of the detected anti-patterns and the required conversion steps.

Spec Generator for Architectural Migration

Name: Spec Generator for Architectural Migration
Author: fractary

byfractary

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Herramientas para Desarrolladores

Automates the creation of detailed, actionable conversion specifications for migrating Claude Code projects to optimized architectural patterns.

Acerca de

The Spec Generator skill is a specialized tool for Claude Code designed to streamline complex architectural migrations and code refactoring. By parsing project audit results and applying standardized templates, it generates structured markdown specifications that include before-and-after architecture diagrams, step-by-step conversion instructions, and precise effort estimates. This skill helps engineering teams move from monolithic or inefficient 'anti-patterns' to high-performance architectures like agent-chains and manager-inversion, ensuring migrations are consistent, validated, and optimized for context token savings.

Características Principales

Precise effort estimation in developer days and context saving projections
2 GitHub stars
Visual before-and-after architecture mapping and code examples
Automated parsing of audit results to identify high-ROI migration candidates
Template-based generation of detailed markdown conversion specifications
Built-in validation to ensure all generated specs are actionable and complete

Casos de Uso

Refactoring monolithic agents into modular agent-chain workflows to improve reliability
Migrating 'Manager-as-Skill' anti-patterns to proper Agent/Skill architectures
Extracting complex inline logic into standalone scripts to reduce context window usage

Acerca de

Características Principales

Precise effort estimation in developer days and context saving projections
2 GitHub stars
Visual before-and-after architecture mapping and code examples
Automated parsing of audit results to identify high-ROI migration candidates
Template-based generation of detailed markdown conversion specifications
Built-in validation to ensure all generated specs are actionable and complete

Casos de Uso

Refactoring monolithic agents into modular agent-chain workflows to improve reliability
Migrating 'Manager-as-Skill' anti-patterns to proper Agent/Skill architectures
Extracting complex inline logic into standalone scripts to reduce context window usage