Sport Mode for Openclaw

Activate high-frequency agent monitoring and automated task supervision for resource-intensive background workflows.

l1vein
v1.0.1
Feb 8, 2026
0
2.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install sport-mode

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install sport-mode 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 Sport Mode?

Sport Mode is a performance-tuning utility designed for the Openclaw Skills ecosystem that temporarily boosts the heartbeat frequency of background agents. It is engineered for scenarios requiring intense supervision, such as long-running builds, complex code migrations, or interactive AI-driven simulations. By reducing the default heartbeat interval, this skill ensures that autonomous agents remain highly responsive and focused on specific objectives without manual polling.

This utility provides a seamless way to manage agent state through dynamic configuration patching. When active, it injects a monitoring task into the operational logs, allowing the agent to track progress autonomously. Once the mission is accomplished, Sport Mode facilitates an automated cleanup, restoring the system to its default power-saving state. It is an essential tool for developers who need to bridge the gap between background processing and real-time feedback within Openclaw Skills.

Sport Mode Use Cases

  • Supervising autonomous background agents during complex codebase refactors.
  • Monitoring high-stakes CI/CD pipelines or local compilation processes.
  • Managing stateful interactive games where low-latency agent response is required.
  • Coordinating multi-stage deployments that require precise timing and status updates.

How Sport Mode Works

  1. The user triggers the command to activate the mode, which patches the local configuration to a high-frequency heartbeat (defaulting to 3 minutes).
  2. A monitoring task is injected into the heartbeat tracking file to define the agent's current focus.
  3. The skill utilizes hot-reloading to apply these configuration changes immediately without restarting the gateway.
  4. The agent performs high-frequency checks based on the new interval, updating the task state as necessary.
  5. Upon completion or manual override, the skill resets the heartbeat to the default 30-minute interval and clears the tracking files.

Sport Mode Setup

To integrate this functionality into your environment, use the standard Openclaw Skills CLI commands. You can specify custom intervals and specific tasks during activation.

# Activate with a default 3-minute heartbeat
sport-mode on --task "Monitor build progress"

# Activate with a custom 1-minute interval
sport-mode on --task "Game tick" --every "1m"

# Deactivate and return to default settings
sport-mode off

Sport Mode Data Schema & Taxonomy

The skill manages state and configuration through a specific file hierarchy. This structure ensures that even high-frequency tasks remain stateful across agent cycles.

Data Point Storage Location Description
Heartbeat Interval ~/.openclaw/openclaw.json Dynamically patched to modify the heartbeat.every frequency.
Active Task HEARTBEAT.md Stores the specific monitoring objective and current progress markers.
State Management HEARTBEAT.md Allows agents to read and write their own state to maintain context window efficiency.

Sport Mode Advanced Features

  • Hot-reloading configuration support for seamless runtime interval adjustments.
  • Stateful file-based task tracking that prevents context window exhaustion during long operations.
  • Tmux integration compatibility allowing agents to capture and inspect terminal panes for build monitoring.
  • Intelligent notification filtering using silent success signals to prevent user alert fatigue during 1-minute cycles.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*