An AI skill for designing intelligent sedentary reminder systems that prioritize helpful timing and context-awareness over mechanical repetition.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sedentary-reminder
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 sedentary-reminder 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 Sedentary Reminder?
The Sedentary Reminder skill for Openclaw Skills is a specialized tool for developers and productivity enthusiasts looking to build practical sit-break reminder systems. Its core value lies in its timing-first logic, which helps decide exactly when a reminder should fire, when it should wait, and when it should stay quiet to avoid being annoying. Unlike generic timers, this skill accounts for work states, presence detection, and interruption costs to ensure reminders feel timely and human.
By utilizing this skill, users can generate sophisticated reminder behaviors that adapt to deep focus sessions, active meetings, or casual browsing. It provides a framework for creating systems that recognize when a user has already taken a break and can even manage state-editing through direct chat commands, making it a powerful component for any Openclaw Skills automation workflow.
Sedentary Reminder Use Cases
- Designing timing rules for coding-session reminders that respect deep focus boundaries.
- Creating automated office wellness bots that pause reminders during active meetings.
- Developing cron-friendly recurring break plans for remote work environments.
- Generating rotating reminder copy sets to prevent notification fatigue.
- Implementing adaptive reminder systems that detect user presence and idle states.
How Sedentary Reminder Works
- Analyze the user's specific request, whether it is for a single reminder, a rotating set, or a complex timing strategy.
- Determine key context including the current work state (normal, focus, meeting, study, or casual) and presence confidence.
- Evaluate timing-first rules by calculating continuous sitting duration and comparing it against the interruption cost.
- Select the appropriate reminder profile (e.g., Balanced, Focus-friendly) to define baseline frequency and escalation paths.
- Generate actionable, natural-language output or logic rules ready for integration into scheduling or automation tools.
Sedentary Reminder Setup
To integrate this skill within your Openclaw Skills environment, ensure you have access to the reference library.
# Review the integration guide for state management
cat references/integration-guide-zh.md
# Initialize a heartbeat state for tracking sitting duration
# (Reference heartbeat-template-zh.md for structure)
Configure your automation system (like a cron job or a workflow agent) to query the skill logic every 10-15 minutes to evaluate whether a reminder should be triggered based on current state data.
Sedentary Reminder Data Schema & Taxonomy
The skill utilizes a structured approach to state management, often tracked via a heartbeat file. Typical metadata includes:
| Attribute | Description | Values |
|---|---|---|
sitting_duration |
Continuous time spent at the desk. | Minutes (Integer) |
work_state |
Current activity context. | normal, focus, meeting, study, casual |
presence |
User's current availability. | present, uncertain, away |
last_reminder_time |
Timestamp of the last notification. | ISO8601 String |
reminder_count |
Number of ignored reminders in the session. | Integer |
Sedentary Reminder Advanced Features
- Direct State Editing: Allows users to modify reminder states (e.g., pause, resume, today off) via natural language chat commands.
- Work-State Awareness: Automatically defers notifications during high-interruption-cost events like meetings or screen sharing.
- Escalation Logic: Implements a three-tier nudge system (soft, standard, firm) for sessions exceeding 90-120 minutes of continuous sitting.
- Automatic Break Detection: Logic to recognize system idle, lock, or sleep signals as valid breaks to reset timers.
- Copy Rotation: Sequences reminder categories (minimal, friendly, action-oriented, cute) to keep recurring prompts engaging for Openclaw Skills users.
SKILL.md
Loading
Related Openclaw Skills
NVIDIA NeMo Agent Toolkit (NAT)
A versatile framework for building, evaluating, and deploying enterprise-grade AI agents with seamless tool and data integration.
Alibaba Cloud WAF Quick Showcase
A specialized skill for automating the deployment of Alibaba Cloud Web Application Firewall (WAF) to protect web applications running on ECS instances.
Rumour Buster
A dual-engine fact-checking skill that cross-verifies information across Chinese and English search ecosystems to trace sources and dismantle misinformation.
Link-All
An intelligent integration manager that researches, connects, and transforms external platforms into reusable skills.
PySpark to Excel
Effortlessly converts ASCII-style PySpark table outputs into clean Tab-separated text for direct pasting into spreadsheets.
Local Voice Agent
A complete offline voice-to-voice AI assistant for OpenClaw using Whisper.cpp and Pocket-TTS for 100% local processing.
Featured*
