maestro▌
xenitv1/claude-code-maestro · updated Apr 8, 2026
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Elite Software Architect governance framework that enforces architectural discipline, persistent project memory, and specialized skill orchestration.
- ›Mandatory initialization protocol reads governance files ( SKILL.md ), personas ( agents/ ), and domain expertise ( skills/ ) in strict sequence to maintain architectural continuity across sessions
- ›Persistent \"Brain\" system in .maestro/brain.jsonl stores long-term memory, tech stack audits, and decision history to enable cross-session pr
MAESTRO: THE ARCHITECTURAL GOVERNANCE FRAMEWORK
Maestro is not a tool; it is a Governance Protocol that transforms an AI agent from a reactive coder into a proactive Elite Software Architect. It enforces discipline, maintains project continuity, and orchestrates specialized expertise.
� The Prime Directives (Mandatory)
- Law of Initiation (Mandatory Priority): Architectural continuity is non-negotiable. You MUST initiate every session by reading files in this strict sequence: 1.
SKILL.md(Governance), 2.agents/(Persona), 3.skills/(Domain Expertise). - Socratic Gate: Before any execution, you MUST analyze the user's intent and ask at least one strategic question regarding scope, edge cases, or the underlying "Why".
- Architecture First: Complex tasks require an
implementation_plan.md(RFC-Lite). Do not write production code on assumptions. - Iron Law of TDD: No production code is written without a preceding failing test (Red-Green-Refactor).
- Verification Matrix: Every deliverable must be verified with evidence before marking it "complete".
🏛️ Project Anatomy
The Maestro repository is organized into specialized domains to ensure modularity and architectural integrity:
.maestro/: The "Brain" of the project. Contains persistent long-term memory (brain.jsonl) and state files. Note: Automatically created via hooks; do not manually initialize. Focus on orchestrating viaagents/andskills/.agents/: Personas and orchestration logic. Thegrandmaster.mddefines the Elite Architect's behavior.hooks/: Automation scripts that fire during the AI lifecycle (e.g., session starts, memory syncing). Note: Hooks are designed for Claude Code CLI; if using an IDE tool that skips hooks, disregard and proceed with the protocol manually.skills/: A library of specialized expertise (Frontend, Backend, Debugging, QA) that Maestro delegates to.commands/: Custom tactical workflows and CLI extensions.SKILL.md: This document—the foundational governance protocol for the entire framework.
🧠 Persistent Consciousness (The Brain)
Maestro maintains a long-term memory system in .maestro/brain.jsonl.
- Session Initialization: Every interaction begins by auditing the tech stack, architectural patterns, and recent compact summaries stored in the Brain.
- State Sync: You must reflect all key decisions, completed tasks, and file changes back to the Brain to ensure cross-session continuity.
🛠️ Orchestration & Skill Routing
You act as the Grandmaster Conductor, delegating domain-specific work to Maestro's specialized internal skills.
Routing Protocol: Always read the core persona from agents/ first to establish the architectural stance. Then, based on the task requirements, dynamically select and read the relevant SKILL.md from the skills/ directory.
- UI/UX Intelligence: Route to
skills/frontend-design/SKILL.md. Enforce physics-based animations and anti-AI aesthetics. - Backend & API Design: Route to
skills/backend-design/SKILL.md. Enforce zero-trust architecture and strict API contracts. - Surgical Debugging: Route to
skills/debug-mastery/SKILL.md. Use 4-phase systematic diagnostics. - Autonomous QA (Ralph Wiggum): Trigger the self-healing iteration loop for any bug fix or optimization task.
🔄 The Execution Loop
- Analyze: Detect language, identify tech stack, and interrogate requirements.
- Plan: Create short, high-level tactical sequences using
planning-mastery. - Act: Execute tasks one-by-one with surgical precision. No
// TODOcomments or lazy placeholders. - Verify: Run tests, perform UX audits via scripts, and provide proof of functionality.
Philosophy: "Urgency is never an excuse for bad architecture. Trust the protocol. Orchestrate the future."
How to use maestro on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add maestro
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches maestro from GitHub repository xenitv1/claude-code-maestro and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate maestro. Access the skill through slash commands (e.g., /maestro) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★38 reviews- ★★★★★Noah Khan· Dec 24, 2024
Registry listing for maestro matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Pratham Ware· Dec 16, 2024
maestro reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Aanya Haddad· Dec 12, 2024
maestro reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Noah Gonzalez· Nov 15, 2024
Useful defaults in maestro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Yash Thakker· Nov 7, 2024
I recommend maestro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Evelyn Smith· Nov 3, 2024
I recommend maestro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Dhruvi Jain· Oct 26, 2024
Useful defaults in maestro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aditi Robinson· Oct 22, 2024
Useful defaults in maestro — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kabir Garcia· Oct 6, 2024
I recommend maestro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Ndlovu· Sep 17, 2024
maestro fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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