Key Points
- 1.MCP is being replaced by a skill plus CRI tool setup for increased efficiency.
- 2.Using skills reduces token consumption significantly, with reductions of over 70%.
- 3.The CRI package allows for more complex actions with minimal context consumption.
Summary
Introduction to Skill and CRI
The skill and CRI (Command Resource Interface) approach replaces the traditional MCP servers. This new setup combines skills with a tiered tool structure that drastically reduces token consumption while maintaining capability.
Token Consumption Reduction
By implementing these new tools and skills, users have reported reductions of over 70% in token consumption for their coding agents. Each added skill only consumes an additional 10 to 50 tokens, making this method far more efficient.
Case Study: Manis Implementations
Manis has shared knowledge on context engineering, demonstrating how they efficiently manage agent tools by categorizing them into essential and infrequent actions. This approach keeps their agents operating efficiently without overloading context windows.
Cloud Code and Future Applications
Entropy's release of cloud code offers a peek into future white-collar work automation. Research from HubSpot indicates that this new method has practical applications across various use cases like automated reporting and document creation.
Efficiency in Browser Tools
Using CRI for browser activities allows for executing commands without the burden of loading extensive MCP tools. This not only saves token usage but also retains a larger effective context for task execution.
Worth watching for
This video is aimed at developers and tech enthusiasts interested in optimizing AI coding agents through innovative methods.