Diary Force is a mandatory habit-building AI skill that enforces nightly reflection through interactive recording and deep structural thinking models.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install diary-force
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 diary-force 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 Diary Force?
Diary Force is a professional-grade AI agent skill designed to eliminate procrastination in personal documentation. By triggering automatically every night at 23:00, it ensures that your daily experiences are captured, analyzed, and stored without fail. It is specifically built for the Openclaw Skills ecosystem to provide a seamless bridge between daily activity and long-term cognitive development.
This skill goes beyond simple note-taking by utilizing the OpenCode CLI and advanced LLMs to perform structured analysis on your day. It transforms raw, fragmented thoughts into structured Markdown files that include energy ratings, emotional states, and key insights. By integrating Git for version control, it provides a permanent, searchable, and trackable history of your personal evolution.
Diary Force Use Cases
- Automating nightly journal prompts at 23:00 to ensure consistent habit formation.
- Using voice or text fragments to generate structured daily logs when mental energy is low.
- Applying 6 different mental models to analyze complex daily problems or failures.
- Building a long-term searchable knowledge base of personal insights using memory internalization.
- Maintaining a version-controlled record of growth using automated Git pushes.
How Diary Force Works
- The Openclaw Skills cron engine triggers the main script nightly to detect if a diary entry exists for the current date.
- If the file is missing, the agent initiates an interactive prompt to collect events, energy scores, and emotional data.
- The raw data is sent to the OpenCode CLI where the minimax-m2.5-free model performs a deep-dive analysis.
- The AI applies six specific mental models—including First Principles and Second-order Thinking—to extract structural insights.
- Validated entries are saved as Markdown files and key lessons are extracted into the memory internalization system.
- The skill automatically executes a Git commit and push to archive the day's reflection securely.
Diary Force Setup
To deploy this skill within your Openclaw Skills environment, ensure Python 3.10+ and Git are accessible in your system path.
# Verify dependencies
python --version
git --version
opencode --version
# Configure your cron trigger in .openclaw/state/cron.yaml
- schedule: "0 23 * * *"
command: "python scripts/diary_force.py auto"
Diary Force Data Schema & Taxonomy
Diary Force organizes data into a structured hierarchy designed for long-term retrieval and AI memory processing.
| Component | Path / Format | Purpose |
|---|---|---|
| Daily Logs | E:\My-life\daily\YYYY-MM-DD.md |
Primary Markdown file containing the day's record. |
| Short-term Memory | memory/L1_Daily/ |
Immediate insights extracted for weekly review. |
| Long-term Memory | memory/L2_LongTerm/ |
Internalized principles and core cognitive shifts. |
| Cognitive Analysis | scripts/think.py |
Logic for processing 6 distinct mental model outputs. |
Diary Force Advanced Features
- Cognitive Framework Integration: Automatically applies First Principles, Inversion, Second-order Thinking, Probabilistic Thinking, Opportunity Cost, and Systems Thinking to every entry.
- Interactive AI Interviewer: Features a structured dialogue mode that extracts insights through conversation for Openclaw Skills users.
- Git-Enabled Persistence: Every update is tracked via version control, preventing data loss and enabling historical audits.
- Multi-Layered Memory: Distinguishes between fleeting daily observations and permanent life principles for better AI context.
- Automated Habit Enforcement: Uses aggressive cron-based prompting to ensure zero-day skips for procrastinators.
SKILL.md
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