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sebastian_m50

Sebastian

@sebastian_m50

Claude Expert, Claude AI Automation, Claude Code and Claude Cowork Setup

Nigeria
Englisch, Spanisch, Chinesisch, Koreanisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Hi, I'm Sebastian, a Claude developer specializing in Claude AI automation, Claude ai agent, Claude Code, and Claude Cowork. I help founders and teams turn Claude from a chat tool into an operating system, using Claude Code, Claude Cowork, and custom agent workflows that replace manual work. You can hire me to build a Claude Code MVP, set up a Claude Cowork workspace, or design Claude AI automation pipelines connecting Claude to your tools. With hands on delivery across ecommerce, SaaS, and agency workflows, I make Claude work for your business. No theory, no fluff, just systems that run.... Mehr lesen

Kompetenzen

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sebastian_m50
Sebastian
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

KI-Implementierung und -Bereitstellung
I will your claude cowork and claude code ai automation consultant expert
KI-Technologie-Beratung
I will be your claude, claude code, cowork trainer, coach and consultation claude setup

Portfolio

Arbeitserfahrung

Claude Cowork Workspace Setup for Business Owners Operations

Business • Selbstständig

Jul 2026 - Jul 20260 mos

Buisness Owners repeat the same five or six tasks constantly, proposals, onboarding emails, status updates, and most never systematize them, which means the quality and speed depends entirely on whatever mood they're in that day. I configured a Claude Cowork workspace from scratch and built five reusable skill files: proposal writing, client onboarding email, weekly report generation, invoice follow up, and project status updates. Each one documented in a SKILL.md covering trigger phrase, required input, and expected output, then tested against real writing samples until the output matched my own standard. Result: Five working, repeatable skills plus a one page guide and a recorded walkthrough of one skill running end to end, from trigger to reviewed output. Documented clearly enough that another person could run it without me explaining it first. Key Technologies: Claude Cowork, Google Drive integration, SKILL.md architecture, Loom

ExertPro

MCP Connector Setup Linking Claude Cowork to ClickUp and Google Drive

ExertPro • Teilzeit

Jul 2026 - Jul 20260 mos

The client needed Claude Cowork to answer questions using data from both ClickUp and Google Drive without requiring employees to manually copy tasks and documents into every conversation. Security was a priority, so the AI needed read-only access. Solution: Implemented Model Context Protocol (MCP) connectors linking Claude Cowork to ClickUp and Google Drive. Configured all tools with read-only permissions, documented access boundaries, and created five test scenarios requiring Claude to combine information from both sources to produce accurate, context-aware responses. Outcome: Verified reliable cross-source retrieval and synthesis while maintaining read-only restrictions. Delivered documentation covering connector configuration, credential storage, permission scope, and access revocation procedures. Tech: MCP, Claude Cowork, ClickUp API, Google Drive API, Node.js.

Team Wide Claude Cowork System for a Three Person Agency Workflow

Intella Services • Freiberufler

May 2026 - May 20260 mos

Team-Wide Claude Cowork System for a Marketing Agency A growing marketing agency was losing time because team members recreated recurring deliverables, client briefs, audits, proposals, and monthly reports from scratch. The lack of standardized workflows led to inconsistent outputs, duplicated effort, and knowledge being siloed between team members. Solution: Designed and implemented a team-wide Claude Cowork system consisting of eight reusable skills covering the agency's core recurring deliverables. Structured each skill using a modular SKILL.md architecture, version-controlled the entire system in GitHub with full commit history, and established a testing process by validating every skill across three separate scenarios to identify and reduce output drift before deployment. Results: * Delivered 8 production ready, documented Claude skills for repeatable agency workflows. * Created a maintainable GitHub repository with version control and clear documentation for future updates. * Built a quality assurance log that tracked output consistency and highlighted areas requiring refinement. * Recorded a walkthrough demonstrating successful adoption by a non-technical team member, reducing onboarding friction and improving team-wide usability. **Key Technologies:** Claude Cowork, GitHub, SKILL.md Architecture, Loom