Your Team Has Claude Code. But Do You Have a System?

50 engineers using Claude 50 different ways isn't leverage — it's chaos. I build the plugin architecture that turns Claude Code into your team's shared superpower.

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The Hidden Cost of Uncoordinated AI

01

Your best prompt engineers hoard their techniques. When they leave, their Claude expertise walks out the door.

02

Same task, same codebase, wildly different outputs. Code review becomes a nightmare when AI assistance is a black box.

03

Every developer reinventing the same prompts, the same workflows, the same mistakes. Multiply that by your team size.

04

No visibility into what Claude is doing, what code it's seeing, or what secrets might be leaking into prompts.

From Chaos to Compound Leverage

I design and implement custom Claude Code plugin systems that capture, standardize, and amplify your team's AI capabilities.

Shared Plugin Library

Vetted, version-controlled plugins that encode your team's best practices. Every engineer gets instant access to collective intelligence.

Prompt Templates

Standardized prompt patterns for your specific codebase, architecture, and coding standards. Consistency without constraint.

Workflow Automation

Automated code review, documentation generation, and testing workflows that integrate seamlessly with your CI/CD.

Security & Governance

Audit trails, secret scanning, and policy enforcement. Know exactly how AI is being used across your organization.

How I Can Help

01

Plugin Architecture Design

Custom plugin system designed for your team's workflow, technology stack, and organizational needs.

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I design comprehensive Claude Code plugin architectures tailored to your organization. This includes repository structure and naming conventions, skill categorization schemes, version control strategies, and distribution mechanisms. I analyze your team's existing workflows, identify high-value automation opportunities, and create an architecture that makes best practices accessible to every developer. The deliverable is a complete technical specification with implementation roadmap, covering plugin library structure, template systems, MCP server integrations, and governance layers. Typical engagements reveal 3-5 high-impact skill categories and 10-15 initial plugins.

02

Implementation & Integration

End-to-end implementation with your existing tools, including git hooks, CI/CD, and IDE integrations.

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I handle the full implementation of your plugin system, from initial setup through production deployment. This includes configuring your plugin repository with proper CI/CD pipelines, setting up automated testing and validation, creating IDE integrations (VS Code, JetBrains), and building MCP servers for internal system access. I integrate with your existing tools—GitHub/GitLab workflows, Slack notifications, documentation systems, and security scanners. The result is a production-ready system that feels native to your development workflow, not a bolt-on tool requiring constant attention.

03

Team Training & Enablement

Hands-on workshops to get your team productive with the new system, including best practices documentation.

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Effective AI tools fail without proper adoption. I run hands-on workshops covering not just "how to use" but "how to contribute." Training includes plugin discovery and usage patterns, creating and submitting new plugins, quality standards and review processes, and security best practices. Each team receives customized documentation, including quick-start guides, contribution templates, and troubleshooting resources. I establish feedback loops that surface issues early and drive continuous improvement. Post-training support ensures teams remain productive as they encounter real-world challenges.

04

Ongoing Optimization

Monthly reviews to evolve your plugin library based on team feedback and emerging capabilities.

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Plugin systems require ongoing care to remain valuable. I provide monthly optimization reviews that analyze usage metrics, identify underutilized plugins, surface new automation opportunities, and incorporate Claude Code capability updates. Each review produces specific recommendations: plugins to improve, new skills to develop, deprecated patterns to remove. I track ROI metrics including time saved, consistency improvements, and security incidents prevented. This ensures your investment compounds over time rather than degrading into technical debt.

Why Work With Me

Built enterprise AI systems at scale

Deep expertise in Claude Code architecture

Swiss engineering precision meets startup speed

Track record of measurable productivity gains

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Start With a System Audit

€997

A comprehensive audit of your team's current Claude Code usage with a detailed roadmap for implementing a plugin system.

Includes:

  • 2-hour discovery session with your team leads
  • Current state assessment and gap analysis
  • Custom plugin architecture proposal
  • Implementation timeline and resource plan
  • 30-minute follow-up call to discuss findings
Book Your Audit

Frequently Asked Questions

What size teams benefit most from this?

Teams of 10-200 engineers see the biggest impact. Below 10, informal sharing works. Above 200, you need enterprise tooling.

How long does implementation take?

A basic plugin system can be operational in 4-6 weeks. Full rollout with training typically takes 2-3 months.

Do you work with teams outside Switzerland?

Yes. Most of my work is remote, with occasional on-site workshops. I've worked with teams across Europe and the US.

What makes this different from just sharing prompts in Slack?

Plugins are versioned, tested, and integrated into workflows. They're discoverable, maintainable, and automatically applied—not buried in message history.

Can this work with our existing security requirements?

Absolutely. The plugin system can run entirely within your infrastructure with no data leaving your environment.

How do plugins integrate with our IDE?

Plugins work with VS Code and JetBrains IDEs through Claude Code extensions. Skills appear in the command palette and can be triggered via keyboard shortcuts or the Claude Code sidebar.

What's the difference between skills and MCP servers?

Skills are reusable workflows (prompt templates + instructions). MCP servers connect Claude Code to external systems like databases or APIs. Most teams need both: skills for common tasks, MCP servers for internal data access.

How do we version and distribute plugin updates?

The plugin library uses Git with semantic versioning. Updates flow through your normal code review process. Teams can pin to stable versions or opt into automatic minor updates.

Can Claude Code access our internal knowledge base or documentation?

Yes, through MCP servers. I build custom servers that expose your documentation, API specs, or wikis to Claude Code in a controlled, secure way. Claude then references this context automatically.

How do we measure ROI on the plugin system?

I track metrics including: time saved per common task, consistency scores on code reviews, adoption rates by team, and security incidents prevented. Monthly reports quantify the impact.

Do you have SOC2 or GDPR certifications?

The plugin system runs on your infrastructure using Anthropic's API, which is SOC2 Type II certified. GDPR compliance depends on your data handling—I help configure policies that minimize data exposure.

How long does team onboarding take?

Initial training is 2-3 hours. Most developers are productive within a week. Full proficiency with advanced features typically takes 2-4 weeks depending on prior AI tool experience.

Can team members contribute new plugins?

Yes, contribution is encouraged. The system includes templates and guidelines for creating new skills. Submissions go through review to ensure quality and security before library inclusion.

What happens when two plugins conflict or give inconsistent advice?

The architecture includes conflict detection and resolution guidelines. When conflicts occur, the system flags them and applies precedence rules you define. Monthly reviews catch and resolve patterns.

How do you handle Claude Code API changes and new capabilities?

I monitor Anthropic releases and test new capabilities against the plugin system. Beneficial updates get incorporated during monthly optimization cycles. Breaking changes are flagged early with migration plans.