What does the Enhance Orchestrator actually do?

It coordinates multiple specialized sub-agents to analyze different parts of your project—such as plugins, documentation, and skills—in parallel, producing a single, actionable health report.

Is the analysis process slow for large projects?

No, it is built for efficiency using Promise.all to run all relevant analyzers in parallel, significantly reducing the time required to generate a unified report.

How does it handle documentation that is out of date?

It uses repo-intelligence to identify 'doc-drift,' flagging documentation with zero code coupling or stale symbol references that likely need updating.

Can it fix issues automatically?

Yes, it can perform auto-fixes for HIGH certainty issues, but only when the --apply flag is explicitly used. It never modifies code for medium or low certainty findings.

Which file types does it scan during discovery?

The orchestrator detects and analyzes plugin.json files, agent markdown files, CLAUDE.md, project documentation, prompts, hooks, and SKILL.md files.

Enhance Orchestrator

Name: Enhance Orchestrator
Author: agent-sh

byagent-sh

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Security & Testing

Coordinates multiple specialized project analyzers in parallel to produce unified health and optimization reports for AI plugins and agents.

The Enhance Orchestrator is a central command layer designed to streamline project maintenance by running a suite of domain-specific analyzers simultaneously. It automatically discovers plugins, agents, documentation, and hooks within a repository, utilizing parallel execution to provide a comprehensive report on structural integrity, documentation drift, and security patterns. By prioritizing findings by certainty and offering safe auto-fixing for high-confidence issues, it ensures that your AI-enhanced projects remain performant, secure, and well-documented with minimal manual overhead.

Key Features

011 GitHub stars

02Automated discovery of plugins, agents, CLAUDE.md, and documentation files

03Prioritized reporting with HIGH, MEDIUM, and LOW certainty categorization

04Parallel execution of domain-specific enhancers for high-speed analysis

05Intelligent 'doc-drift' detection to identify stale or uncoupled documentation

06Controlled auto-fixing for high-certainty issues via explicit --apply flag

Use Cases

01Standardizing prompts and skill definitions across multiple AI agents

02Auditing large repositories for documentation drift and stale symbol references

03Validating the structural compliance and security of complex Claude plugins

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agent-sh/enhance enhance-orchestrator

For use in Claude.ai and ChatGPT

Download Skill