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Master LangChain Architecture

langchain-architecture

sickn33/agentic-awesome-skills

Master the LangChain framework to build sophisticated LLM applications. Learn to implement agents, chains, memory management, and tool integration. This skill covers core concepts like ReAct agents, retrieval chains, and document processing pipelines. Ideal for creating autonomous AI agents and production-grade applications using Python.

Langfuse LLM Observability

sickn33/agentic-awesome-skills

Instrument LLM applications with Langfuse tracing, prompt versioning and evaluation. Covers SDK setup, masking sensitive data, span verification, dataset comparison and debugging production LLM pipelines.

LangGraph Stateful Agent Builder

sickn33/agentic-awesome-skills

Expert guidance for building production-grade stateful, multi-actor AI agents with LangGraph, covering graph construction, state management, cycles and branching, checkpoint persistence, human-in-the-loop patterns, and the ReAct agent workflow.

Laravel Expert

sickn33/agentic-awesome-skills

Senior Laravel Engineer skill for production-grade, maintainable, and idiomatic Laravel solutions. Covers architecture, validation, Eloquent optimization, API design, authentication, caching, queues, and code review.

Linkerd Service Mesh Patterns

linkerd-patterns

sickn33/agentic-awesome-skills

This skill covers production patterns for Linkerd, a lightweight security-first service mesh for Kubernetes. It includes setup instructions, namespace injection, service profiles for retries/timeouts, traffic splits for canary deployments, server authorization policies, and multi-cluster configurations. Ideal for DevOps engineers managing microservices security and traffic management.

Linux System Administration

linux-administration

sickn33/agentic-awesome-skills

Master core Linux administration tasks including package management, process control, filesystem handling, and scheduling. Essential for managing production servers, troubleshooting system issues, and maintaining infrastructure across Debian and RHEL distributions.

Linux Hardening

linux-hardening

sickn33/agentic-awesome-skills

Apply CIS benchmarks and security best practices to secure Linux servers. Covers SSH hardening, user security, firewall configuration, kernel hardening, file permissions, and audit setup. Ideal for production server hardening and compliance.

Linux Shell Scripting Templates

linux-shell-scripting

sickn33/agentic-awesome-skills

This skill provides production-ready shell script templates for common Linux system administration tasks such as backups, monitoring, user management, and log analysis. It serves as a foundation for security operations and penetration testing environments, requiring basic bash knowledge and appropriate system permissions.

Linux System Troubleshooting Workflow

linux-troubleshooting

sickn33/agentic-awesome-skills

A systematic, multi-phase workflow designed for diagnosing and resolving complex Linux system issues. It guides users through initial assessment, resource analysis (CPU, memory, disk), process investigation, log analysis, network diagnostics, and service failure resolution. Ideal for system administrators and DevOps engineers handling production incidents.

LLM Application Patterns

llm-app-patterns

sickn33/agentic-awesome-skills

Architecture and integration sketches for LLM applications, covering RAG retrieval, tool dispatch, agent loops, caching, privacy boundaries and verification requirements before production use.

AI Assistant Development

llm-application-dev-ai-assistant

sickn33/agentic-awesome-skills

Design and implement conversational AI assistants with context management, integration boundaries, and validation. Provides guidance, best practices, and checklists for building production-ready chatbots and AI-powered applications.

LangChain Agent Development Expert

llm-application-dev-langchain-agent

sickn33/agentic-awesome-skills

Expert skill for building production-grade AI systems using LangChain 0.1+ and LangGraph. Covers agent architecture, RAG pipelines, memory systems, and deployment strategies. Ideal for developing sophisticated LLM applications with observability and scalability.

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