By DaDevFox
LLM application development, prompt engineering, and AI assistant optimization
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and AI-powered applications. Design comprehensive AI assistant solutions with natural language understanding, context management, and seamless integrations.
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.
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 LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, fine-tuning strategies, and production serving with focus on building scalable, efficient, and safe LLM applications.
Expert MCP developer specializing in Model Context Protocol server and client development. Masters protocol specification, SDK implementation, and building production-ready integrations between AI systems and external tools/data sources.
Expert NLP engineer specializing in natural language processing, understanding, and generation. Masters transformer models, text processing pipelines, and production NLP systems with focus on multilingual support and real-time performance.
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.
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 the LangChain framework with agents, memory, and tool integration patterns. 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 4.5, Sonnet 4.5 & Haiku 4.5 — Three-tier model strategy for optimal performance
🎯 Agent Skills Enabled — 107 specialized skills extend Claude's capabilities across plugins with progressive disclosure
A comprehensive production-ready system combining 99 specialized AI agents, 15 multi-agent workflow orchestrators, 107 agent skills, and 71 development tools organized into 67 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 5 skills available (~300 tokens), not the entire marketplace.
Add this marketplace to Claude Code:
/plugin marketplace add wshobson/agents
This makes all 67 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 5 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 code-review-ai # AI-powered code review
# 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:
rm -rf ~/.claude/plugins/cache/claude-code-workflows && rm ~/.claude/plugins/installed_plugins.json
npx claudepluginhub dadevfox/orchestra-claude-code-subagents --plugin llm-application-devUnit and integration test automation for Python and JavaScript with debugging support
End-to-end feature orchestration with testing, security, performance, and deployment
Backend API design, GraphQL architecture, workflow orchestration with Temporal, and test-driven backend development
Interactive debugging, developer experience optimization, and smart debugging workflows
Documentation generation, code explanation, and technical writing with automated doc generation and tutorial creation
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.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Complete developer toolkit for Claude Code
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.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.