Reference AI-augmented software development patterns, anti-patterns, and obstacles.
npx skills add https://github.com/scute-sh/scute --skill ai-patterns-scute-sh
Please help me install this Agent Skill. Skill: ai-patterns Source: https://github.com/scute-sh/scute/tree/main/.claude/skills/ai-patterns Command: npx skills add https://github.com/scute-sh/scute --skill ai-patterns-scute-sh
This Skill provides a comprehensive reference for understanding and applying effective patterns and anti-patterns in AI-augmented software development, helping to overcome common obstacles and improve AI collaboration.
Ensure the AI patterns repository is cloned and up-to-date by running the provided script.
High-intent search queries and answers about installing and using this skill.
Common AI coding anti-patterns include context-rot, where an AI agent loses track of instructions in long conversations, alongside obstacles in ensuring reliability, quality, and effective communication. This Skill categorizes these issues by domain to help developers identify and avoid them.
To manage AI context in long coding conversations, consult the context-management pattern to apply actionable strategies that prevent the context-rot obstacle. This ensures the AI agent maintains instruction track and reliability throughout the software development process.
Yes, this AI coding reference covers reliability and quality by providing actionable strategies and best practices for ensuring output consistency. It addresses specific obstacles related to maintaining quality when collaborating with AI agents.
The best way to improve communication with AI agents is to apply the communication patterns and strategies referenced in this Skill. It offers structured guidance for overcoming obstacles in AI collaboration and ensuring clear, effective interactions.
Your AI agent loses track of instructions due to a specific obstacle known as context-rot. This Skill references this exact issue and provides corresponding context-management patterns to resolve instruction loss during complex AI-augmented software development.
corezoidInitialize and configure the Simulator.Company environment with OAuth authentication and .env storage.
shalin-rahmanEngineer advanced prompting strategies for reliable LLM interactions.
Manvendra08Reduce token consumption and context overflow in LLM interactions.
Obsidian-OwlDetect AI/agentic anti-patterns in code changes and workflows.
