A dynamic strategy engine that adjusts API consumption patterns based on remaining quota and reset deadlines to maximize resource utilization.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install api-consumption-optimizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install api-consumption-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is API Consumption Optimizer?
The API Consumption Optimizer is a sophisticated management tool designed for developers who need to squeeze every bit of value out of rate-limited or quota-capped services. It functions as a logic layer within the ecosystem of Openclaw Skills, monitoring real-time usage against defined time windows to determine the most efficient calling frequency. By shifting between conservative, normal, and aggressive modes, it ensures that your AI agents remain productive throughout their lifecycle without hitting hard stops before a reset.
This skill is particularly useful for managing providers like MiniMax or other LLM services where quotas reset on a fixed schedule. It removes the manual guesswork involved in rate limiting and provides a programmable way to ensure your applications stay within bounds while maximizing throughput. Integrating this into your project via Openclaw Skills provides a robust framework for reliable API resource management.
API Consumption Optimizer Use Cases
- Intelligent scaling of LLM API calls based on hourly or daily credit resets.
- Automated adjustment of bot activity levels during high-traffic time windows.
- Maximizing usage of free-tier or prepaid API quotas before they expire.
- Preventing service interruptions by dynamically slowing down requests when limits are near.
How API Consumption Optimizer Works
- The skill accepts inputs including current usage, the total quota, and the specific time window for the reset cycle.
- It calculates the exact next reset time by parsing the time window string and comparing it against the current system time.
- Based on the remaining quota ratio and the time remaining until the next reset, it selects one of four strategies: Conservative, Normal, Sprint, or Crazy.
- A dynamic adjustment function monitors the speed ratio—comparing actual usage vs. expected usage—to either double or halve the calling frequency in real-time.
API Consumption Optimizer Setup
To implement this logic within your automation environment, ensure you have a Python runtime available. This skill is a logic-based integration for the Openclaw Skills library.
# Ensure your environment has the datetime and math libraries available (standard in Python)
# Simply import the core logic into your main agent loop
Configure the time_window (e.g., '10:00-15:00') and total_quota (e.g., 1600) to match your API provider's specifications.
API Consumption Optimizer Data Schema & Taxonomy
The skill processes configuration through a structured JSON input and returns specific operational modes:
| Field | Type | Description |
|---|---|---|
| current_usage | Integer | Number of calls already consumed in the current window |
| total_quota | Integer | Total capacity allowed (default: 1600) |
| time_window | String | The start and end hour of the quota cycle |
| target_usage | Float | Desired consumption target (default: 0.9 or 90%) |
Output Modes:
conservative: High interval (e.g., 30 mins) when usage is high relative to time.normal: Standard interval (e.g., 10 mins).sprint: Increased frequency (e.g., 3 mins) when quota is abundant.crazy: Maximum throughput (e.g., 1 min) during the final 10% of the time window.
API Consumption Optimizer Advanced Features
- Real-time speed ratio calculation to detect if consumption is too slow or too fast.
- Adaptive interval scaling that dynamically modifies the factor of frequency (0.5x to 2x).
- Customizable safety buffers to reserve a percentage of the quota for emergency requests.
- Seamless integration hooks for game AI systems and high-frequency automation agents within Openclaw Skills.
SKILL.md
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