An advanced cross-session todo list management skill powered by SQLite storage and WorkBuddy automation for robust personal task handling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install todo-list-skill
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 todo-list-skill 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 Todo List Skill?
The Todo List Skill is a robust developer tool within the Openclaw Skills ecosystem designed to add permanent, cross-session task management capabilities to AI agents. Operating under a file-centric philosophy, it bypasses volatile memory models by tracking, updating, and querying state directly within a structured SQLite database. This guarantees zero task loss even across system reboots or separate conversation sessions.
Built for high operational reliability, this skill handles natural language intents natively and converts them into structured actions. By introducing advanced fallback mechanisms, atomic database triggers, and a unified audit trail complying with rigorous application security principles, it enables a self-contained productivity workflow tailored for intelligent agent automation setups.
Todo List Skill Use Cases
- Managing personal workflows, execution schedules, and ad-hoc checklists directly through conversational text.
- Tracking operational statuses across distinct multi-turn interactions or distributed AI execution tasks.
- Setting temporary reminders or scheduling recurrent system review alerts within conversational runtimes.
- Auditing historical task interactions through structured tracking and local write logs for performance reviews.
How Todo List Skill Works
- Trigger Detection: The incoming natural language stream is scanned for definitive action indicators such as add, list, done, delete, or update.
- Natural Language Parsing: The raw user input is processed via an embedded NLP engine to extract parameters like content, deadlines, priorities, and tags.
- Database Execution: The parsed task profile is committed securely to the internal database workspace with automatic fallback caching if a database lock or thread blocking occurs.
- Response Generation: Execution output is standardized and pushed to notification surfaces or dialogue prompts, resolving ambiguities interactively.
- Audit Logging: Operations generate structured audit payloads to guarantee traceability for system audits.
- Reminder Scheduling: Valid deadlines register either as localized recurring background hooks or fallback system cron handlers depending on the runtime context.
Todo List Skill Setup
Prerequisites and Configuration
Initialize the communication layout and link up reminder pathways inside your designated project shell:
# Initialize the interactive reminder pathway configurations
python3 -m src.reminder setup
# Configure a localized chat-based notification engine
python3 -m src.reminder setup --channel workbuddy
# Fallback configuration for distributed systems using crontab scheduling
5 0 * * * cd ~/workspaces/default/todos && python -m src.cli check_overdue
Todo List Skill Data Schema & Taxonomy
Workspace Architecture and Tables
Data persistence is structured inside todos/todos.db across three primary database structures:
| Table | Objective | Behavioral Profile |
|---|---|---|
todos |
Active tasks workspace | Houses open tasks with strict data bounds |
todos_archive |
Complete/Cancelled items | Preserves historical data with automatic cleanup after 30 days |
audit_log |
Security audit logging | Records full operational footprints |
Field Structure Details
id(INTEGER): Automatically incremented sequence primary key.content(TEXT): Core task description limited strictly to 500 characters.status(TEXT): State markers enforcing:pending,in_progress,completed,cancelled, oroverduevalues.priority(TEXT): Priority tier flags indicatinghigh,medium, orlowstatus.due_at(TEXT): Expiry time captured using standardized ISO8601 formatting.tags(TEXT): Localized target attributes stored as a serialized JSON array.
Todo List Skill Advanced Features
- Robust Failure Routing: Implements exponential backoff retry cycles for operational timeouts alongside flat-file fallbacks to
/tmp/todos_fallback.json. - Pluggable Event Backends: Seamlessly swaps notification targets among conversational workspaces, programmatic webhooks, or third-party web endpoints.
- Deterministic State Updates: Automatically monitors task expiration intervals via non-blocking daily background scans to minimize search latency.
- Atomic Recovery Pathways: Runs localized configuration checks to automatically revert system structures to pristine backups during rare instances of file corruption.
SKILL.md
Loading
Related Openclaw Skills
ArXiv Paper Daily
An automated assistant that searches ArXiv for the latest computer science papers, selects the most relevant ones, and generates structured daily digests.
Your Inner Fish
An interactive paleontology and evolutionary biology AI skill revealing how human anatomy is written in ancient fossils, embryos, and genetics.
Churchill: Walking with Destiny AI Biography Skill
An AI-powered historical biography and leadership toolkit modeled on Andrew Roberts' definitive biography of Winston Churchill.
Benjamin Franklin Biography & Self-Improvement Skill
An AI agent skill translating Walter Isaacson's biography of Benjamin Franklin into actionable lessons on self-improvement, science, diplomacy, and history.
No Logo - Anti-Corporate Globalization Skill
An AI agent skill based on Naomi Klein's No Logo, serving as an anti-corporate globalization toolkit to analyze brand exploitation, public space takeover, and global activism.
Capitalism and Freedom Economics Skill
An AI agent skill designed to analyze economic policy, libertarian philosophy, and free-market structures using Milton Friedman's classic framework.
Featured*
