By VictorGX29
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.2
Build AI assistant application with NLU, dialog management, and integrations
Create LangGraph-based agent with modern patterns
Optimize prompts for production with CoT, few-shot, and constitutional AI patterns
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and production prompt strategies. Use when building AI features, improving agent performance, or crafting system prompts.
Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similarity search. Use PROACTIVELY for vector search implementation, embedding optimization, or semantic retrieval systems.
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
Uses power tools
Uses Bash, Write, or Edit tools
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⚡ Updated for Opus 4.6, Sonnet 4.6 & Haiku 4.5 — Three-tier model strategy for optimal performance
🎯 Agent Skills Enabled — 146 specialized skills extend Claude's capabilities across plugins with progressive disclosure
A comprehensive production-ready system combining 112 specialized AI agents, 16 multi-agent workflow orchestrators, 146 agent skills, and 79 development tools organized into 72 focused, single-purpose plugins for Claude Code.
This unified repository provides everything needed for intelligent automation and multi-agent orchestration across modern software development:
Each plugin is completely isolated with its own agents, commands, and skills:
Example: Installing python-development loads 3 Python agents, 1 scaffolding tool, and makes 16 skills available (~1000 tokens), not the entire marketplace.
Add this marketplace to Claude Code:
/plugin marketplace add wshobson/agents
This makes all 72 plugins available for installation, but does not load any agents or tools into your context.
Browse available plugins:
/plugin
Install the plugins you need:
# Essential development plugins
/plugin install python-development # Python with 16 specialized skills
/plugin install javascript-typescript # JS/TS with 4 specialized skills
/plugin install backend-development # Backend APIs with 3 architecture skills
# Infrastructure & operations
/plugin install kubernetes-operations # K8s with 4 deployment skills
/plugin install cloud-infrastructure # AWS/Azure/GCP with 4 cloud skills
# Security & quality
/plugin install security-scanning # SAST with security skill
/plugin install comprehensive-review # Multi-perspective code analysis
# Full-stack orchestration
/plugin install full-stack-orchestration # Multi-agent workflows
Each installed plugin loads only its specific agents, commands, and skills into Claude's context.
You install plugins, which bundle agents:
| Plugin | Agents |
|---|---|
comprehensive-review | architect-review, code-reviewer, security-auditor |
javascript-typescript | javascript-pro, typescript-pro |
python-development | python-pro, django-pro, fastapi-pro |
blockchain-web3 | blockchain-developer |
# ❌ Wrong - can't install agents directly
/plugin install typescript-pro
# ✅ Right - install the plugin
/plugin install javascript-typescript@claude-code-workflows
"Plugin not found" → Use plugin names, not agent names. Add @claude-code-workflows suffix.
Plugins not loading → Clear cache and reinstall:
npx claudepluginhub victorgx29/wshobson-agents --plugin llm-application-devUnity game development with C# scripting, Minecraft server plugin development with Bukkit/Spigot APIs
XSS prevention, CSRF protection, content security policies, mobile app security, and secure storage patterns
Essential developer skills including Git workflows, SQL optimization, error handling, code review, E2E testing, authentication, debugging, and monorepo management
Comprehensive .NET backend development with C#, ASP.NET Core, Entity Framework Core, and Dapper for production-grade applications
Binary reverse engineering, malware analysis, firmware security, and software protection research for authorized security research, CTF competitions, and defensive security
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Complete developer toolkit for Claude Code
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex and antigravity CLIs when installed) to get diverse perspectives on coding problems
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams