claudecodex

agentic-bundle-agent-architect

Install the "Agent Architect" editorial skill bundle for Claude Code.

5 on GitHubby sickn33 and contributorsv16.9.0MITupdated 5 days agoupstream
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Plugin agentic-bundle-agent-architect from marketplace moaa in ahmadhammoud56/MOAA. Commands read from the repo's manifest — 5 days ago.

What it installs

Skills (7)

  • agent-evaluation

    Evaluate agent behavior with versioned cases and explicit verifiers. Use when comparing agent or prompt changes, reproducing failures, or running agent regression tests.

  • agent-memory-systems

    Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them.

  • ai-agents-architect

    Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.

  • langgraph

    Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern.

  • mcp-builder

    Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.

  • prompt-engineering

    Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.

  • rag-engineer

    Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications.

View source on GitHub

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