By krishmatrix
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
Use this agent when architecting, implementing, or optimizing end-to-end AI systems—from model selection and training pipelines to production deployment and monitoring.
Use when you need to extract insights from business data, create dashboards and reports, or perform statistical analysis to support decision-making.
Use this agent when you need to design, build, or optimize data pipelines, ETL/ELT processes, and data infrastructure. Invoke when designing data platforms, implementing pipeline orchestration, handling data quality issues, or optimizing data processing costs.
Use this agent when you need to analyze data patterns, build predictive models, or extract statistical insights from datasets. Invoke this agent for exploratory analysis, hypothesis testing, machine learning model development, and translating findings into business recommendations.
Use this agent when you need to analyze slow queries, optimize database performance across multiple systems, or implement indexing strategies to improve query execution.
Uses power tools
Uses Bash, Write, or Edit tools
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This repository serves as the definitive collection of Claude Code subagents, specialized AI assitants designed for specific development tasks.
claude plugin marketplace add VoltAgent/awesome-claude-code-subagents
claude plugin install <plugin-name>
Examples:
claude plugin install voltagent-lang # Language specialists
claude plugin install voltagent-infra # Infrastructure & DevOps
See Categories below for all available plugins.
Note: The
voltagent-metaorchestration agents work best when other categories installed.
~/.claude/agents/ for global access.claude/agents/ for project-specific usegit clone https://github.com/VoltAgent/awesome-claude-code-subagents.git
cd awesome-claude-code-subagents
./install-agents.sh
This interactive script lets you browse categories, select agents, and install/uninstall them with a single command.
curl -sO https://raw.githubusercontent.com/VoltAgent/awesome-claude-code-subagents/main/install-agents.sh
chmod +x install-agents.sh
./install-agents.sh
Downloads agents directly from GitHub without cloning the repository. Requires curl.
curl -s https://raw.githubusercontent.com/VoltAgent/awesome-claude-code-subagents/main/categories/09-meta-orchestration/agent-installer.md -o ~/.claude/agents/agent-installer.md
Then in Claude Code: "Use the agent-installer to show me available categories" or "Find PHP agents and install php-pro globally".
Plugin: voltagent-core-dev
Essential development subagents for everyday coding tasks.
Plugin: voltagent-lang
npx claudepluginhub krishmatrix/claude_agent- --plugin voltagent-data-aiEssential development subagents for everyday coding tasks - backend, frontend, fullstack, mobile, and API design
Testing, security, and code quality experts - code review, penetration testing, QA automation
Product management and business analysis - product strategy, project management, UX research
Tooling and developer productivity experts - CLI tools, documentation, DX optimization
Agent coordination and meta-programming - multi-agent orchestration, workflow automation. Works best with other voltagent plugins installed.
Agents for data engineering, machine learning, and AI development
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
AI/ML development: LLM architecture, prompt engineering, ML ops, and NLP with production deployment focus
LLM application development with RAG, embeddings, LangChain, and prompt engineering
Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: "We need AI-powered content recommendations"\nassistant: "I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior."\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: "Add an AI chatbot to help users navigate our app"\nassistant: "I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling."\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: "Users should be able to search products by taking a photo"\nassistant: "I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching."\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.