Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Manage tasks with persistent storage, supporting creation, retrieval, updates, deletion, filtering by status or priority, and status tracking via SQLite.
Manage tasks with persistent storage, supporting creation, retrieval, updates, deletion, filtering by status or priority, and status tracking via SQLite.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
A task management agent skill that provides persistent task storage and management using SQLite database. This skill enables AI agents to create, read, update, delete, and query tasks with status tracking and priority management.
Task Creation: Add new tasks with title, description, status, and priority Task Retrieval: Get single tasks or list all tasks Task Filtering: Filter tasks by status or priority Task Updates: Modify any task field (title, description, status, priority) Task Deletion: Remove tasks from the database Persistent Storage: All tasks stored in SQLite database with automatic timestamps
# Add task python task_skill.py add "Task title" "Description" --status pending --priority high # List all tasks python task_skill.py list # Filter by status python task_skill.py list --status in_progress # Filter by priority python task_skill.py list --priority urgent # Get task details python task_skill.py get 1 # Update task python task_skill.py update 1 --status completed --priority low # Delete task python task_skill.py delete 1
FieldTypeDescriptionRequiredDefaultidINTEGERAuto-generated task IDAuto-titleTEXTTask titleYes-descriptionTEXTTask descriptionNo""statusTEXTTask statusYes"pending"priorityTEXTTask priorityYes"medium"created_atTIMESTAMPCreation timestampAutoCurrent timeupdated_atTIMESTAMPLast update timestampAutoCurrent time
pending - Task is pending and not started in_progress - Task is currently being worked on completed - Task is finished blocked - Task is blocked and cannot proceed
low - Low priority task medium - Medium priority task (default) high - High priority task urgent - Urgent task requiring immediate attention
All agent methods return a dictionary with a success field:
{ "success": True, "task_id": 1, "message": "Task created with ID: 1" }
{ "success": True, "tasks": [ { "id": 1, "title": "Task title", "description": "Task description", "status": "pending", "priority": "medium", "created_at": "2026-02-11T10:30:00", "updated_at": "2026-02-11T10:30:00" } ], "count": 1 }
{ "success": True, "task": { "id": 1, "title": "Task title", "description": "Task description", "status": "pending", "priority": "medium", "created_at": "2026-02-11T10:30:00", "updated_at": "2026-02-11T10:30:00" } }
{ "success": False, "message": "Task 1 not found" }
Database File: tasks.db (created automatically in current directory) Database Type: SQLite3 Schema Constraints: Status and priority values are validated at database level Timestamps: Automatically managed by the database
None - uses Python's built-in sqlite3 module.
Task Tracking: Track personal or project tasks with status and priority TODO Management: Maintain a persistent TODO list Workflow Automation: Integrate task management into automated workflows Project Management: Simple project task tracking Agent Memory: Provide AI agents with persistent task storage
The database connection is persistent across operations Always call agent.close() when finished to properly close the database Use context manager pattern for automatic cleanup: with TaskAgent() as agent: agent.add_task("Task", "Description") Task IDs are auto-incrementing integers starting from 1 All timestamps are in ISO 8601 format
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.