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By teslasoft-de
Pack codebases into AI-friendly XML/Markdown bundles for context loading. Supports auto-discovery, segmented bundles, compression. Use for code review, debugging, architecture understanding.
npx claudepluginhub teslasoft-de/claude-skills-marketplace --plugin repomixProfessional skills and tools for Claude Code, including UX design, authentication patterns, collaboration workflows, and developer tools.
Add this marketplace to Claude Code:
/plugin marketplace add teslasoft-de/claude-skills-marketplace
Then install individual plugins:
/plugin install ux@teslasoft-skills
/plugin install auth-pattern@teslasoft-skills
/plugin install collab@teslasoft-skills
| Plugin | Description |
|---|---|
| ux | Comprehensive UX design skills: research, information architecture, interaction design, visual design, and strategy |
| Plugin | Description |
|---|---|
| auth-pattern | Enterprise authentication patterns: JWT, RBAC, realm-based authorization |
| e2e | E2E testing workflows with test-first development methodology |
| Plugin | Description |
|---|---|
| collab | Git branch collaboration state management for multi-session work |
| context-budget | Context window management with progressive disclosure |
| skill-design | 10-step Skill Design Loop (SDL) for creating agent skills |
| Plugin | Description |
|---|---|
| repomix | Pack codebases into AI-friendly bundles for context loading |
| idea | JetBrains IDE integration via MCP server |
Each plugin follows the standard Claude Code plugin structure:
plugin-name/
├── .claude-plugin/
│ └── plugin.json # Plugin manifest
├── skills/
│ └── skill-name/
│ ├── SKILL.md # Main skill definition
│ └── references/ # Deep content (progressive disclosure)
└── README.md
Teslasoft - teslasoft.de
This project uses dual licensing:
| Use Case | License | Requirements |
|---|---|---|
| Open Source Projects | MIT License | Include copyright notice |
| Commercial / Closed Source | Commercial License | Visible attribution required |
See LICENSE.md for full details.
Commercial use without a Commercial License is prohibited.
Share bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Slash commands for quick Repomix operations. Pack local and remote repositories with simple commands like /pack-local and /pack-remote.
5 methods to retrieve code context: DeepWiki, Context7, Exa, git clone, and web search+fetch
Interactive setup wizard for configuring any repository with Claude Code best practices, based on Boris Cherny's workflow
Use this agent when you need to design scalable architecture and folder structures for new features or projects. Examples include: when starting a new feature module, refactoring existing code organization, planning microservice boundaries, designing component hierarchies, or establishing project structure conventions. For example: user: 'I need to add a user authentication system to my app' -> assistant: 'I'll use the code-architect agent to design the architecture and folder structure for your authentication system' -> <uses agent>. Another example: user: 'How should I organize my e-commerce product catalog feature?' -> assistant: 'Let me use the code-architect agent to design a scalable structure for your product catalog' -> <uses agent>.
Personal Claude Code + Codex dev stack: security hooks, AI-first code conventions, /security-review, /repo-map, /stack-check, portable statusline. Designed to complement other skills-based plugins, not replace them.
Generate comprehensive analysis and documentation of entire codebase
Design new agent skills using the 10-step Skill Design Loop (SDL). Use when creating reusable, portable agent capabilities with progressive disclosure, VOI-driven uncertainty management, and security hardening.
E2E testing workflow with test-first development rules. Covers new features (test-first), test modifications (progressive testing), and refactoring (iterative testing). Framework-agnostic with Playwright/Cypress/Jest examples.
Manage context efficiently in long conversations using progressive disclosure and tiered loading. Use when hitting context limits, working on large codebases, or optimizing token usage across multi-turn interactions.
Scaffold enterprise authentication and authorization patterns. Use when implementing JWT auth, role-based access control, realm-based permissions, or session management in web applications.
AI assistant layer for the Teslasoft harness. Reads pre-collected state from the Drone sidecar, surfaces alerts, answers ad-hoc queries, and replaces manual data collection in dashboard workflows.
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