A technical framework for building unbreakable consistency through habit stacking, streak tracking, and systematic accountability.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install build-discipline
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install build-discipline using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill transforms the concept of discipline from a finite resource into a sustainable system. By leveraging habit stacking and automated streak tracking, it helps users establish non-negotiable daily routines that compound over time. Built as part of the Openclaw Skills ecosystem, it focuses on five core pillars: sleep, exercise, nutrition, focus blocks, and recovery, ensuring a holistic approach to personal development.
The system is designed to replace willpower with architecture. By tracking commitments locally and providing visual feedback on momentum, it helps users move from occasional effort to identity-based consistency. Whether you are managing deep work windows or physical health, this skill provides the structure needed to maintain high performance without burnout.
To get started with Build Discipline in your environment, initialize the skill using the following command:
openclaw install build-discipline
Once installed, trigger the initial setup wizard to define your pillars and non-negotiables:
openclaw run build-discipline --init
The skill maintains a local database to track your progress and commitments. All data is stored locally to ensure privacy.
| Field | Description | Type |
|---|---|---|
| commitments | List of active non-negotiable daily tasks | Array |
| streaks | Consecutive days of successful adherence per pillar | Integer |
| pillars | Categorized data for sleep, exercise, nutrition, etc. | Object |
| logs | Local history of daily check-ins and pattern analysis | JSON |
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