A zero-dependency productivity suite designed to manage focus sessions through natural language alarms, ambient sound generation, and detailed analytics.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install focus-toolkit
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 focus-toolkit 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 Focus Toolkit?
Focus Toolkit provides an integrated workflow for attention management directly inside your environment. Created to optimize cognitive performance, it brings together a natural language alarm scheduler, a persistent pomodoro timer, a multi-type background soundscape synthesizer, and a weekly productivity analyst. This workflow serves as an example of practical developer utilities categorized under Openclaw Skills, enabling frictionless integration of focus habits.
By relying exclusively on the Python standard library, this tool ensures high portability and zero external package installations. The suite enables users to start deep-work sessions, set non-blocking cron reminders, and generate sound environments without relying on bulky third-party software.
Focus Toolkit Use Cases
- Setting intuitive, natural language alarms and reminders such as standing up or attending meetings.
- Initiating timed pomodoro sprints accompanied by custom generated soundscapes (such as rain or ambient white noise).
- Reviewing daily and weekly productivity trends with structured focus sessions and session tracking reports.
- Deploying lightweight productivity automation tools within custom environments using Openclaw Skills.
How Focus Toolkit Works
- Time Parsing: The tool uses parse_time.py to convert natural language commands or localized time statements into standard temporal structures.
- Session Logging: Once a work session starts, log_session.py initializes a persistent session that tracking databases maintain across process restarts.
- Soundscape Synthesizing: In parallel, generate_soundscape.py builds one of seven tailored background noise profiles to aid auditory focus.
- Cron Scheduling: Alarms and periodic reminders are handled asynchronously via native cron integration so they do not block active conversations.
- Analytics Generation: Finally, analyze.py reads historical session logs to output detailed daily and weekly reports detailing focus efficiency and habits.
Focus Toolkit Setup
Ensure you have Python installed on your system. To set up this utility as part of your Openclaw Skills workflow, clone the repository and navigate to the directory:
git clone <repository-url>
cd focus-toolkit
The tools utilize standard Python libraries, so no additional package installations are required. You can test the time parser or analytics directly:
python scripts/parse_time.py "in 30 minutes"
python scripts/analyze.py
Focus Toolkit Data Schema & Taxonomy
The toolkit manages session data locally to ensure complete privacy and persistence. Below is an overview of the key operational components:
| Component | Output / Format | Description |
|---|---|---|
scripts/parse_time.py |
Parsed datetime object | Converts natural language input into structured timestamps. |
scripts/log_session.py |
JSON / Text logs | Stores persistent pomodoro state and session runtimes. |
scripts/generate_soundscape.py |
Audio output / Synthesized stream | Delivers 7 distinct focus soundscapes (e.g., rain, white noise). |
scripts/analyze.py |
Structured markdown reports | Generates daily and weekly productivity insights. |
Focus Toolkit Advanced Features
- Cross-Session Persistence: Pomodoro states are written to persistent storage, maintaining continuity even if the runner or system restarts.
- Non-Blocking Cron Integration: Leverages native scheduling to trigger reminders without interrupting your active chat session or execution thread.
- Multi-Module Synergies: Seamlessly combines four consolidated sub-skills (formerly separate Openclaw Skills) into a single, cohesive productivity pipeline.
- Zero-Dependency Architecture: Entirely implemented using Python's built-in libraries for maximum portability and effortless deployment.
SKILL.md
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