My Link Drop

A benchmarking framework for evaluating agent skills across diverse tasks.

• Benchmarking Framework: Standardizes skill performance evaluation.
• Diverse Tasks: Supports various complex tasks for robust testing.
• Research Utility: Valuable for AI developers and researchers.
• Performance Insights: Provides data-driven insights to improve agents.

A performance optimization system for AI agents.

• Skills & Instincts: Enhances AI capabilities
• Memory & Security: Focuses on safe data handling
• Research-First Development: Built on solid research
• Target Audience: Developers working with AI systems

Sisyphus is a coding agent with advanced orchestration features.

• Multi-Model Orchestration: Seamlessly integrates multiple models.
• 40+ Lifecycle Hooks: Enhances customization and flexibility.
• Battle-Tested: Proven reliability in production environments.
• Perfect for Developers: Ideal for automating tasks and workflows.

Learn design skills for AI application development.

• Skill Set: 1 skill with 17 commands
• Value: Curated anti-patterns for quality design
• Compatibility: Works with popular AI tools
• Target Audience: Frontend designers and developers

This resource covers unit testing for AI agent skills.

• Skills Evaluation: Ensures procedural instructions work
• Practical Insight: Reveals testing patterns for teams
• Target Audience: Developers using AI coding agents
• GitHub Resource: Find the project on GitHub

Explore interactive learning courses from Anthropic.

• Variety of Courses: Covers diverse topics in AI.
• Interactive Learning: Engaging format for better retention.
• Targeted for Professionals: Aids skill development in tech.
• User-Friendly Platform: Access materials easily via Skilljar.