What is the primary function of the Orchestrator Enhancer?

It manages and coordinates multiple specialized enhancement agents to analyze different aspects of your project simultaneously, providing a single consolidated report.

Will this skill make changes to my code automatically?

No changes are made unless you explicitly use the --apply flag, and even then, it only applies fixes that have a HIGH certainty rating to ensure code safety.

Can I run this skill on specific parts of my project?

Yes, you can use the --focus argument followed by a type (like docs, plugin, or agent) to limit the analysis to specific areas of your repository.

How does the parallel execution benefit my workflow?

By using Promise.all to run analyzers concurrently, it significantly reduces the time required to audit large projects compared to running each enhancer sequentially.

Orchestrator Enhancer

Name: Orchestrator Enhancer
Author: avifenesh

byavifenesh

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311

Productivity & Workflow

Coordinates multiple AI enhancement analyzers in parallel to provide unified project health reports and automated optimizations.

About

The Orchestrator Enhancer is a sophisticated control skill designed for the /enhance command, serving as the central hub for multi-agent project analysis. It simultaneously triggers specialized enhancers for plugins, documentation, project memory, and prompts, consolidating their findings into a prioritized report based on certainty levels. This skill is essential for developers managing complex AI-driven repositories who need to maintain code quality, documentation accuracy, and agent safety without manually running individual audits.

Key Features

311 GitHub stars
Targeted analysis through granular focus filters for agents, docs, and hooks
Parallel execution of domain-specific analyzers for maximum speed
Unified reporting with findings prioritized by HIGH, MEDIUM, and LOW certainty
Automated high-certainty refactoring via the --apply flag
Smart suppression system that learns from past project-specific decisions

Use Cases

Batch applying critical AI-suggested fixes across multiple plugin schemas and logic files
Conducting a full-scale project audit to identify documentation gaps and prompt inefficiencies
Generating an executive health summary of an AI project's architecture before deployment

About

Key Features

311 GitHub stars
Targeted analysis through granular focus filters for agents, docs, and hooks
Parallel execution of domain-specific analyzers for maximum speed
Unified reporting with findings prioritized by HIGH, MEDIUM, and LOW certainty
Automated high-certainty refactoring via the --apply flag
Smart suppression system that learns from past project-specific decisions

Use Cases

Batch applying critical AI-suggested fixes across multiple plugin schemas and logic files
Conducting a full-scale project audit to identify documentation gaps and prompt inefficiencies
Generating an executive health summary of an AI project's architecture before deployment