Windowed Autonomy for Openclaw

A time-windowed autonomous task queue that separates active daytime work from overnight maintenance cycles for predictable agent behavior.

luciusrockwing
v1.0.0
Feb 16, 2026
0
1.6k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install autonomy-windowed

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 autonomy-windowed 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 Windowed Autonomy?

Windowed Autonomy is a specialized framework within the ecosystem of Openclaw Skills designed to transition agents from reactive responders to proactive workers within defined time constraints. By establishing specific operational windows—typically aligned with daytime hours—developers can ensure their agents focus on high-value task queues while reserving nighttime hours for system maintenance, backups, and resource-heavy cron jobs.

This skill is essential for users who require a predictable work schedule and controlled token expenditure. By utilizing Openclaw Skills to manage temporal separation, the agent maintains a clear distinction between autonomous progress and background housekeeping, preventing resource contention and ensuring that autonomous work only occurs when the environment is optimized for it.

Windowed Autonomy Use Cases

  • Establishing a predictable work schedule for autonomous agents using Openclaw Skills.
  • Controlling token budgets by limiting active autonomous sessions to specific hours.
  • Separating heavy maintenance tasks (like backups) from autonomous development cycles.
  • Managing non-urgent task queues that do not require 24/7 monitoring.
  • Gradual scaling of agent autonomy through incremental window expansion.

How Windowed Autonomy Works

  1. The agent initiates a heartbeat check and references the Autonomy Windows defined in the task configuration.
  2. If the current UTC time falls within an active window, the agent identifies the highest priority task from the queue.
  3. The agent executes the task for a set duration (15-30 minutes) before updating the queue status and logging the progress.
  4. If the heartbeat occurs outside the active window, the agent defaults to a standby mode, issuing a simple heartbeat acknowledgment.
  5. During window transitions, the agent either initializes the autonomous mode or saves its current state to ensure work resumes seamlessly in the next window.

Windowed Autonomy Setup

To integrate this functionality into your Openclaw Skills environment, configure your queue file and history logs:

  1. Define your active windows in tasks/QUEUE.md:
## Autonomy Windows
- Daytime: 08:00 - 20:00 UTC -> Autonomy ON
- Overnight: 20:00 - 08:00 UTC -> Autonomy OFF
  1. Create the tracking file tasks/MODE_HISTORY.md to monitor window transitions.
  2. Configure your heartbeat trigger to run every 2 hours during the active window.

Windowed Autonomy Data Schema & Taxonomy

The skill organizes data across three primary files to maintain state and history:

File Purpose Content Type
tasks/QUEUE.md Central task management Window definitions, Priority list (Urgent to Low), and task state.
tasks/MODE_HISTORY.md Temporal logs Audit trail of window openings, closings, and tasks completed per session.
.learnings/ Knowledge persistence Metadata and findings from completed autonomous tasks.

Windowed Autonomy Advanced Features

  • Urgent Priority Override: Allows tasks tagged as @priority:urgent to bypass time windows and trigger immediate execution.
  • Stateful Shutdown: Intelligent wrapping logic that finishes tasks if >80% complete when a window closes, or saves granular progress for resumption.
  • Token Budgeting: Built-in session strategies (Limited, Full Day, Extended) to manage token usage between 20K and 80K per day.
  • Cron Coordination: Native compatibility with background jobs, ensuring autonomy pauses during heavy system operations like GitHub backups.

SKILL.md


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