A strategic trend analysis engine based on Kevin Kelly's frameworks to identify long-term investment and technology shifts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install future-forecaster
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 future-forecaster 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 Future Forecaster?
Future Forecaster is a high-level analytical tool designed for Openclaw Skills users who need to look beyond the immediate noise of the market. Drawing inspiration from Kevin Kelly's seminal works like 'The Inevitable' and 'Out of Control,' this skill utilizes three core mental models and a four-layered change law to provide a probabilistic view of the future. It is specifically engineered to help users distinguish between short-term technical volatility and long-term civilizational shifts.
By leveraging the power of Openclaw Skills, the Future Forecaster analyzes the trickle-down of luxury services, the migration of edge innovations to the mainstream, and the linguistic evolution of new terminology. This systematic approach allows for a rigorous evaluation of certainty, market space, and timing, moving away from 'fortune telling' toward data-driven foresight.
Future Forecaster Use Cases
- Identifying long-term investment opportunities in emerging technology sectors.
- Conducting deep-dive industry trend analysis for strategic planning.
- Recognizing 'edge signals' before they transition into mainstream market drivers.
- Assessing the impact of technological breakthroughs on social and civilizational structures.
How Future Forecaster Works
- The user provides a trend topic, time horizon, and current signals to the Openclaw Skills interface.
- The skill applies the Three Prediction Models: Trickle-Down (luxury to mass), Edge-to-Core (niche to mainstream), and Neologism Mining (language evolution).
- It maps the topic across Four Layers of Change: Technology (1-3 years), Market (3-7 years), Society (10-20 years), and Civilization (50-100 years).
- A multi-dimensional assessment is performed, scoring the trend on certainty, space, timing, and barriers.
- The skill outputs a comprehensive investment score and a structured recommendation (e.g., Strongly Recommend, Observe, or Avoid).
Future Forecaster Setup
To integrate this capability into your AI agent environment using Openclaw Skills, ensure the skill files are correctly placed in your skill directory:
# Navigate to your Openclaw Skills directory
cd skills/future-forecaster
# Ensure the core skill definitions and templates are present
ls templates/trend-analysis-template.md
ls references/kk-framework.md
Future Forecaster Data Schema & Taxonomy
The Future Forecaster within Openclaw Skills organizes its findings into a structured JSON output for easy integration with other tools and reports:
| Object | Description |
|---|---|
trend_analysis |
Contains core metrics: topic, horizon, certainty, space, and timing. |
three_models_analysis |
Qualitative insights from Trickle-Down, Edge-to-Core, and Neologism models. |
four_layers_analysis |
Impact breakdown from technology through to civilization. |
investment_score |
A final numeric value (0-10) representing the strategic potential. |
recommendation |
Actionable status: Strongly Recommend, Recommend, Observe, or Avoid. |
Future Forecaster Advanced Features
- Multi-Layered Signal Processing: Separates fast-moving technical iterations from slow-moving cultural shifts.
- Probabilistic Forecasting: Replaces binary predictions with a nuanced 'Investment Value Score' out of 40.
- Edge Signal Tracking: Specifically designed to monitor subculture communities and 'toy-to-tool' inflection points.
- Scenario Analysis: Integrated hooks for template-based reporting using the trend-analysis-template.md.
SKILL.md
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