Concise Agent Communication

关于

Concise Agent Communication is a specialized skill designed to streamline AI interactions by prioritizing terminal readability and token efficiency. Based on Matt Pocock’s planning principles, it transforms verbose explanations into high-density fragments, tables, and diagrams. By enforcing a strict structure—starting with a brief overview and ending with clear, numbered action steps—this skill ensures that the most critical information remains visible in the terminal while reducing latency and cost through minimized token usage.

主要功能

• Reduces token consumption and API latency through minimalist output
• Surfaces unresolved questions early to prevent development bottlenecks
• Enforces 'Brevity First' rules to replace prose with fragments and tables
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• Prioritizes actionable, numbered next steps at the bottom for terminal visibility
• Standardizes a scannable structure: Overview, Content, Questions, and Steps

使用场景

• Reducing token costs and window clutter during complex terminal-based coding sessions
• Standardizing AI output formats across teams for consistent scan-ability
• Streamlining daily developer-to-agent interactions for faster code planning