Token Economist

This skill focuses on cost-efficiency and precision when dealing with large-scale data in LLMs.

Capabilities

1. Smart Summarization

• Condenses large log files or documentation into "information-dense" summaries.
• Strips redundant or boilerplate text before sending to the model.

2. Intelligent Chunking

• Splits large files based on logical boundaries (e.g., function blocks, sections) rather than raw character counts.
• Maintains cross-chunk context through small overlaps or "context headers."

Usage

• "Summarize this 10MB log file for analysis, keeping only the error patterns and stack traces."