sharpdeveye

sharpdeveye / maestro

Public

Workflow fluency for AI coding agents. 1 skill, 20 commands, 7 references — works across Cursor, Claude Code, Gemini CLI, Copilot, and 6 more.

maestroskills.dev agent-orchestration ai ai-agents ai-workflows claude-code
15
2
100% credibility
Found Apr 10, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Maestro is a collection of prompts, commands, and references designed to help AI coding agents build better workflows for software projects.

How It Works

1
🔍 Discover Maestro

You hear about Maestro, a helpful guide that makes AI coding assistants smarter at handling projects.

2
➕ Add Maestro to Your Project

You easily add Maestro's skill pack to your AI coding tool so it can use special workflow commands.

3
💬 Chat with Commands

In your AI chat, you type simple commands like /diagnose to check your project's workflow.

4
🔧 Get Smart Suggestions

Your AI reviews everything, spots issues like messy prompts or missing safety checks, and suggests fixes.

5
🚀 Improve and Boost

You run more commands to refine, strengthen, and speed up your AI's work on the project.

🎉 Flawless AI Workflows

Now your AI coding assistant creates reliable, efficient software without common pitfalls—everything flows perfectly!

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Star Growth

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AI-Generated Review

What is maestro?

Agent maestro github delivers workflow tools for AI coding agents in Cursor, Claude Code, Gemini CLI, Copilot, and 8 more. It packs one core skill with 20 slash commands like /diagnose, /streamline, /fortify to audit prompts, add error handling, and cut complexity—solving agent slop like context dumps and no retries. JavaScript-based, it runs via npx skills add or MCP servers for dynamic prompts, tools, and references on prompt engineering, tool chaining, and guardrails.

Why is it gaining traction?

Maestro github ai stands out with curated anti-patterns, project context via .maestro.md, and chained commands (/diagnose then /refine) that guide agents without dead ends. Cross-provider support via MCP protocol means no per-tool tweaks, unlike scattered workflow github actions. Devs grab it for quick wins on brittle agents, especially in maestro github claude setups.

Who should use this?

AI workflow builders in Cursor or Claude Code hitting prompt sprawl or missing feedback loops. Backend teams refining multi-agent pipelines for production. Devs onboarding agents to projects needing domain tweaks like /specialize legal.

Verdict

Try it via npx for agent diagnostics—docs shine, commands deliver. Low 15 stars and 1.0% credibility flag early-stage risks; validate outputs before workflows go live.

(178 words)

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