agentic-patterns

What problem does it solve?

This skill provides a comprehensive framework for designing and implementing robust AI agentic workflows, enabling Claude to break down complex problems, gather context, take action, and verify its work effectively. It addresses challenges in autonomous problem-solving.

Core Features & Use Cases

• Context-Gathering Patterns: Strategies for efficiently collecting all necessary information before acting, ensuring informed decisions.
• Decision Trees & Anti-Patterns: Guides on structured decision-making and avoiding common pitfalls in agent design, improving reliability.
• Parallelization Recipes: Techniques for executing multiple tasks concurrently to speed up complex workflows, optimizing performance.
• Use Case: When an AI agent needs to tackle a multi-faceted problem (e.g., "Refactor a legacy codebase"), this skill provides the blueprint for a structured approach, ensuring all steps are covered, decisions are sound, and the final outcome is verified.

Quick Start

Use the agentic-patterns skill to plan a workflow for refactoring the 'auth' module, including context gathering and verification steps.