A sophisticated local forecasting and prediction system designed to analyze trends, generate scenarios, and assess risks using structured data analysis.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install predict
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 predict using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Predict skill is a robust analytical framework for AI agents to visualize patterns, forecast outcomes, and manage uncertainty effectively. By combining data-driven analysis with informed judgment, it allows users to navigate complex future outcomes without compromising privacy.
Built as part of the Openclaw Skills library, this module emphasizes local processing. All scenario analyses, risk assessments, and forecast records are stored within the local file system, ensuring that sensitive business intelligence or project forecasts never leave the user's controlled environment.
To integrate this capability into your AI agent environment, ensure you have the Openclaw Skills framework installed and the following structure in place:
Predict maintains a strict local-only data taxonomy within the memory/predict/ directory to ensure user privacy:
| File | Description |
|---|---|
models.json |
Stores the underlying prediction models and logic frameworks. |
scenarios.json |
A record of all generated project and scenario analyses. |
forecasts.json |
Historical logs of all trend forecasts and assumptions. |
accuracy.json |
Data used to track and improve prediction performance over time. |
build_model.py to create bespoke forecasting frameworks tailored to niche data sets.Loading
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