Equipping agents for the real world with Agent Skills
Discover how Anthropic builds AI agents with practical capabilities through modular skills, enabling them to handle complex real-world tasks more effectively and reliably.
Scaling Managed Agents: Decoupling the brain from the handsAnthropic
Writing effective tools for AI agents—using AI agentsAnthropic
Introducing advanced tool use on the Claude Developer PlatformAnthropic
Clio: A system for privacy-preserving insights into real-world AI useAnthropic
Introducing Anthropic InterviewerAnthropic
Barclays scales Claude to upgrade operations and improve client experienceAnthropic
Digital Forensics & Emerging Technologies GuideCybersecurity Exchange
10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify
The Most Important Work in AI Training Is Also the Most Overlooked - Deepgram Blog ⚡️Deepgram
Let’s Play Master and Servant: Real Time Synchronization Tool for Redis MigrationRedis
How to Conduct an AI Agent Security Audit [+ Checklist]Zapier
Workato integrations: What's included and when to use ZapierZapier
Pulumi Neo Now Supports AGENTS.mdPulumi
Real Go Projects: SmartTwitter and web.go - The Go Programming LanguageGo
How a top tier European soccer team sped up their data processing and reduced costs by 50%Modal
How to serve trillions of tokens for trillion-parameter coding agentsModal
Do AI Agents Need a Semantic Layer?Motherduck
Building a Remote MCP Server: OAuth, Tool Design & Lessons from 4,000+ AI Queries | MotherDuckMotherduck
SQL is Dead, Long Live SQL: Engineering a Reliable Analytics Agent from ScratchMotherduck
The rise of slow personal assistantsCerebras
