meow:lazy-agent-loader
CommunityLoad agents on demand to cut token usage.
Software Engineering#lazy-loading#token-savings#context-budget#on-demand-loading#agent-loader#session-cache#agent-detection
Authorngocsangyem
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This approach reduces token waste by deferring full agent loading until an agent is activated, keeping summaries lightweight at startup.
Core Features & Use Cases
- On-demand loading of agent definitions to save tokens during multi-agent workflows.
- Summary-first indexing with full definitions loaded only for PRIMARY candidates.
- Session-level caching to avoid re-loading and to preserve context across interactions.
- Seamless integration with agent-detection to minimize context expansion while preserving accuracy.
Quick Start
Use the lazy-agent-loader to load agents on demand during a session to minimize token usage.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: meow:lazy-agent-loader Download link: https://github.com/ngocsangyem/MeowKit/archive/main.zip#meow-lazy-agent-loader Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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