Access Awesome Agentic Patterns (agentic-patterns.com) for production-ready AI agent patterns. Use when designing multi-agent workflows, implementing feedback loops, managing context windows, or solving orchestration challenges. Contains 150+ patterns across 8 categories with real-world references and implementation guidance.
View on GitHubFebruary 4, 2026
Select agents to install to:
npx add-skill https://github.com/laurigates/claude-plugins/blob/main/agent-patterns-plugin/skills/agentic-patterns-source/SKILL.md -a claude-code --skill agentic-patterns-sourceInstallation paths:
.claude/skills/agentic-patterns-source/# Agentic Patterns Source ## Overview [Awesome Agentic Patterns](https://agentic-patterns.com/) is a curated catalog of production-ready AI agent patterns. It bridges the gap between toy demos and production systems by documenting repeatable solutions that teams are actually using. **Primary URL**: https://agentic-patterns.com/ ## When to Use This Skill | Use this skill when... | Use other skills when... | |------------------------|-------------------------| | Designing multi-agent orchestration | Implementing Claude Code-specific hooks (`claude-hooks-configuration`) | | Solving context window limitations | Writing custom agent definitions (`custom-agent-definitions`) | | Implementing feedback/self-correction loops | Creating file-based coordination (`agent-file-coordination`) | | Researching security/sandboxing patterns | Setting up MCP servers (`mcp-management`) | | Need production-tested patterns with references | Need Claude Code workflow patterns (`multi-agent-workflows`) | ## Pattern Categories ### 1. Context & Memory Managing limited context windows through curation, caching, and episodic memory. **Key Patterns:** - Context Window Auto-Compaction - Progressive Disclosure for Large Files - Semantic Context Filtering - Self-Identity Accumulation **When to research:** Context limits affecting performance, memory persistence needs, large codebase navigation. ### 2. Feedback Loops Self-healing mechanisms, CI integration, and iterative refinement. **Key Patterns:** - Self-correction loops - CI integration patterns - Iterative refinement workflows **When to research:** Implementing retry logic, self-healing agents, continuous improvement cycles. ### 3. Learning & Adaptation Reinforcement fine-tuning and skill library evolution. **Key Patterns:** - Memory Reinforcement Learning (MemRL) - Skill Library Evolution **When to research:** Agents that improve over time, skill accumulation, adaptive behavior. ### 4. Orchestration & Control Task decomposit