token-management

What problem does it solve?

This Skill addresses the challenge of managing limited LLM context windows by providing strategies for token budget awareness, efficient compression, and selective observation masking.

Core Features & Use Cases

• Token Budget Monitoring: Track token usage per project and model.
• Tier-Aware Compression: Apply appropriate compression ratios based on task complexity (T1-T4).
• Observation Masking: Define rules for selectively masking parts of outputs to save tokens while preserving critical information.
• Budget Overflow Protocol: A clear procedure for handling situations where the context window is nearly full.
• Recovery Strategies: Protocols for saving state and recovering after a /clear operation.
• Use Case: When working on a complex T3 task, this skill helps you decide which parts of API responses or code files can be compressed aggressively and which must be preserved in full fidelity to avoid exceeding the token limit while maintaining task accuracy.

Quick Start

Use the token-management skill to assess current project token usage and apply T2 compression rules to long outputs.