A robust management skill for AI agents to handle tasks spanning days to months with structured tracking and automated heartbeats.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install midlong-term-task-manager
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 midlong-term-task-manager 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 Mid-Long-Term Task Manager?
The midlong-term-task-manager is a sophisticated tool designed to help AI agents manage objectives that extend beyond a single session. While standard agent memory often focuses on immediate context, this Openclaw Skills module provides a dedicated framework for long-term project oversight, ensuring that complex goals are decomposed into manageable subtasks. By maintaining a structured JSON database and daily progress logs, it allows agents to track their own growth and project lifecycles effectively.
This skill bridges the gap between execution and planning by providing clear boundaries for data storage. It avoids cluttering primary memory files by using a specialized directory for task-specific metadata and logs. This ensures that the AI agent remains focused on high-priority goals while maintaining a transparent audit trail of every accomplishment and roadblock encountered during the lifecycle of a task.
Mid-Long-Term Task Manager Use Cases
- Tracking multi-week software development projects or research initiatives.
- Automated daily review of active task status during agent heartbeat cycles.
- Managing personal learning paths and skill development milestones with specific deadlines.
- Generating automated weekly progress reports for long-term strategic objectives.
How Mid-Long-Term Task Manager Works
- Task Initiation: The user or agent registers a new goal using the task_add command, defining deadlines, priority levels, and descriptions.
- Decomposition: Complex tasks are automatically or manually broken down into granular subtasks with individual due dates.
- Automated Monitoring: A heartbeat script triggers regular checks on all in_progress tasks to update statuses and identify potential delays.
- Progress Logging: The system records daily work logs into date-stamped Markdown files to maintain a detailed history of activity.
- Status Transition: Tasks move through a lifecycle (pending, in_progress, blocked, completed) based on real-time progress and manual updates.
- Memory Archival: Completed tasks are summarized and integrated into the broader memory system for long-term retention.
Mid-Long-Term Task Manager Setup
To integrate this into your environment, ensure the scripts are executable and configure your heartbeat monitor.
# Grant execution permissions to scripts
chmod +x ~/.openclaw/skills/midlong-term-task-manager/scripts/*.sh
# Add the task check to your HEARTBEAT.md
# Run: ~/.openclaw/skills/midlong-term-task-manager/scripts/task_check.sh
# Configure cron jobs for summaries
0 20 * * * ~/.openclaw/skills/midlong-term-task-manager/scripts/daily_summary.sh
Mid-Long-Term Task Manager Data Schema & Taxonomy
The skill organizes data within the workspace to ensure persistence and clarity for the AI agent.
| File Path | Purpose | Format |
|---|---|---|
.tasks/tasks.json |
Main database for task metadata and subtask states | JSON |
.tasks/logs/YYYY-MM-DD.md |
Daily progress notes and heartbeat records | Markdown |
.tasks/daily.log |
Output log for automated daily summary scripts | Text |
.tasks/weekly.log |
Output log for weekly review automated tasks | Text |
Mid-Long-Term Task Manager Advanced Features
- Automated Heartbeat Integration: Periodically reviews task health and flags overdue items without human intervention.
- Three-Layer Memory Integration: Seamlessly exports completed task summaries to the agent core memory via automated compression.
- Dependency Mapping: Supports task blocking and dependency tracking to ensure logical project sequencing.
- Custom Status Lifecycle: Includes specialized states like blocked, paused, and cancelled to reflect real-world project dynamics.
- Automated Cron Reporting: Scheduled daily and weekly reviews provide high-level summaries of productivity trends.
SKILL.md
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