By davepoon
Delegate complex AI and data tasks to specialized agents that proactively build LLM applications with RAG and orchestration, design scalable ETL pipelines and warehouses, deploy MLOps workflows, optimize prompts, analyze datasets, manage context, and decompose goals into actionable hierarchies.
Build LLM applications, RAG systems, and prompt pipelines. Implements vector search, agent orchestration, and AI API integrations. Use PROACTIVELY for LLM features, chatbots, or AI-powered applications.
Manages context across multiple agents and long-running tasks. Use PROACTIVELY when coordinating complex multi-agent workflows or when context needs to be preserved across multiple sessions. MUST BE USED for projects exceeding 10k tokens.
Build ETL pipelines, data warehouses, and streaming architectures. Implements Spark jobs, Airflow DAGs, and Kafka streams. Use PROACTIVELY for data pipeline design or analytics infrastructure.
Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.
Expert guidance on hackathon strategy, AI solution ideation, and project evaluation. Provides judge-perspective feedback, brainstorms winning AI concepts, and assesses project feasibility for tight timeframes.
Uses power tools
Uses Bash, Write, or Edit tools
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A plugin marketplace and discovery platform for Claude Code. Browse curated plugins, discover community contributions, and extend your Claude Code workflows.
# Add the Build with Claude marketplace
/plugin marketplace add davepoon/buildwithclaude
# Browse available plugins
/plugin search @buildwithclaude
# Install plugins
/plugin install <plugin-name>@buildwithclaude
Curated collections maintained in this repository:
| Type | Count | Description |
|---|---|---|
| Agents | 117 | Specialized AI experts (Python, Go, DevOps, Security, etc.) |
| Commands | 175 | Slash commands for automation (/commit, /docs, /tdd) |
| Hooks | 28 | Event-driven automation (notifications, git, formatting) |
| Skills | 26 | Reusable capabilities from plugins |
| Plugins | 50 | Bundled plugin packages by category |
The platform indexes plugins from the broader Claude Code ecosystem:
Browse, search, and explore everything at buildwithclaude.com





# Add marketplace
/plugin marketplace add davepoon/buildwithclaude
# Install specific plugins
/plugin install agents-python-expert@buildwithclaude
/plugin install commands-version-control-git@buildwithclaude
/plugin install hooks-notifications@buildwithclaude
# Or install everything
/plugin install all-agents@buildwithclaude
/plugin install all-commands@buildwithclaude
/plugin install all-hooks@buildwithclaude
# Clone repository
git clone https://github.com/davepoon/buildwithclaude.git
cd buildwithclaude
# Install agents
find plugins/agents-*/agents -name "*.md" -exec cp {} ~/.claude/agents/ \;
# Install commands
find plugins/commands-*/commands -name "*.md" -exec cp {} ~/.claude/commands/ \;
# Restart Claude Code



Agents are automatically invoked based on context, or explicitly called:
"Use the python-pro to optimize this function"
"@agent-security-auditor review this authentication code"
"Have the devops-troubleshooter help debug this deployment"
Commands use the / prefix:
npx claudepluginhub davepoon/buildwithclaude --plugin agents-data-aiCommands for team workflows, PR reviews, and collaboration
General-purpose utility commands
Commands for integrating with external services and syncing data
Expert agents for specific programming languages (Python, Go, Rust, etc.)
Expert agents for cryptocurrency trading, DeFi strategies, and market analysis
Complete collection of 117 specialized AI agents across 11 categories
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
Enterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
This skill should be used when the model's ROLE_TYPE is orchestrator and needs to delegate tasks to specialist sub-agents. Provides scientific delegation framework ensuring world-building context (WHERE, WHAT, WHY) while preserving agent autonomy in implementation decisions (HOW). Use when planning task delegation, structuring sub-agent prompts, or coordinating multi-agent workflows.
Sub-agent runner — runs agent definitions on Codex, Claude Code, Cursor CLI, or Gemini CLI from any host AI tool.
Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)