token-optimizer

What This Skill Does

The Token Optimizer for OpenClaw is a comprehensive toolkit designed to drastically reduce API consumption and operational overhead for AI agents. By implementing intelligent context-aware loading, model routing, and efficient heartbeat management, it solves the common problem of token wastage in LLM-based systems. Instead of loading your entire file system into memory for every query, the skill dynamically determines the minimal context required to answer a prompt effectively, often achieving 50-80% reductions in token usage.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/dexiaong/token-optimizercf After installation, follow the Quick Start guide in the documentation to generate your optimized AGENTS.md and configure the heartbeat templates.

Use Cases

• Large Scale Deployments: Ideal for users running multiple autonomous agents simultaneously where API costs accrue rapidly.
• Complex Knowledge Bases: Perfect for agents with extensive documentation or long-term memory logs that would otherwise exceed context windows.
• Latency-Sensitive Applications: Reduces processing time by shrinking the initial prompt input sent to the LLM.
• Cost-Constrained Environments: Essential for developers trying to keep monthly API billings manageable while maintaining high agent performance.

Example Prompts

1. "Check my current token budget usage for this billing cycle and recommend optimizations."
2. "Recommend the minimal context needed for this prompt: 'Write a python script to parse the logs in the /data directory'."
3. "Route this query to the most cost-effective model since it is just a simple greeting: 'Hey, thanks for the help!'"

Tips & Limitations

To maximize savings, always prioritize generating the optimized AGENTS.md file first. While this skill provides significant cost relief, ensure that your 'minimal' context configuration still includes critical system identity files like SOUL.md. Note that the model routing feature requires active API keys for all supported providers to function effectively. Regular auditing of the token tracker reports is recommended to adjust your routing logic as your agent's task complexity evolves over time.