A structured execution tracker that maintains state across a 28-day AI agent side hustle lifecycle to drive sequential business progress.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install side-hustle-analyst
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 side-hustle-analyst using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Side Hustle Analyst is a purpose-built execution engine designed for the Agent Side Hustle School workflow. As a core component of the Openclaw Skills library, it functions as a state-aware analyst that moves users through a rigorous 6-phase business development cycle. It transforms the often-chaotic process of starting a side hustle into a disciplined, day-by-day execution path.
By maintaining a canonical state file, this skill ensures that every experiment, traffic drive, and conversion optimization step is documented and scored. It acts as a project manager for AI-driven ventures, preventing common pitfalls by requiring specific criteria to be met before advancing to the next phase of the hustle.
To integrate this capability into your Openclaw Skills workspace, ensure your directory structure is prepared for state persistence:
# Create the required directory structure
mkdir -p state output/experiment-log output/daily-summaries
# Initialize the state file if starting fresh
echo '{"current_day": 1, "phase": 1, "outcome_log": []}' > state/course-state.json
The Side Hustle Analyst organizes its output and state management using the following taxonomy:
| Data Type | Location | Description |
|---|---|---|
| Canonical State | state/course-state.json |
Stores the current day, active phase, and the cumulative outcome log array. |
| Daily Summaries | output/daily-summaries/ |
Markdown files named by date and day number (e.g., 2023-10-27-day-1.md). |
| Experiment Logs | output/experiment-log/ |
Technical logs documenting specific experiment execution (e.g., day-05-test-name.md). |
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