Soft Predict Future

A Claude Code skill for soft predict future workflows and automation

What Is Soft Predict Future?

Soft Predict Future is a Claude Code skill designed for developers and analysts who need rapid, context-aware foresight and scenario analysis. The skill empowers users to ask any question relating to future outcomes—ranging from “Will [X] succeed?” to “What are the odds of [Y] happening?”—without the need to specify an explicit time horizon. Leveraging real-time web search and advanced natural language understanding, Soft Predict Future can handle a wide array of prediction and scenario planning requests, including competitive analyses, technology adoption forecasts, geopolitical shifts, and market dominance predictions. The skill acts as a dynamic foresight engine, making it invaluable for applications that require strategic planning, risk assessment, or innovation roadmapping.

Why Use Soft Predict Future?

Traditional forecasting and scenario analysis often require complex modeling, historical data, and domain-specific expertise. In fast-moving environments, this can be a bottleneck. Soft Predict Future offers a “soft” prediction capability: rather than deterministic forecasts, it provides informed, context-rich perspectives based on the latest available data and trends. By integrating web search, the skill ensures insights are up-to-date and relevant.

Use cases include:

  • Business Strategy: Compare potential winners in competitive markets, assess technology adoption, or anticipate regulatory changes.
  • Innovation and R&D: Evaluate the likelihood of emerging technologies reaching mainstream adoption.
  • Geopolitical Risk: Analyze possible outcomes in political races, international relations, or economic shifts.
  • Market Analysis: Forecast dominance, disruption, or obsolescence across sectors.

The skill is particularly useful when you need rapid, qualitative foresight without building a full predictive model, or when exploring a range of plausible futures as part of a scenario planning workflow.

How to Get Started

To use Soft Predict Future, you should have access to a Claude Code environment with web search enabled. The skill is open-source and available at the official GitHub repository.

Installation and Activation Example:

## Assuming usage within a Claude Code plugin environment

from foresight_intelligence.skills import soft_predict_future

## Example:

Predicting the future of a technology race
question = "Who will win the generative AI race: OpenAI or Anthropic?"
result = soft_predict_future.predict(question)
print(result)

Triggering the Skill:

The skill activates automatically for any future-oriented question, including (but not limited to):

  • “Will [entity] win [competition]?”
  • “Who will lead in [industry]?”
  • “What happens to [technology/market]?”
  • “Can [company] succeed?”
  • “What’s the future of [trend]?”

No date or year is required; the skill infers the prediction horizon from context.

Key Features

  • Natural Language Query Handling: Accepts a wide range of future-oriented questions in plain English.
  • Scenario and Foresight Analysis: Supports scenario planning frameworks such as STEEEP (Social, Technological, Economic, Environmental, Ethical, Political) and the futures cone.
  • Real-Time Insights: Requires web search, ensuring that predictions and scenarios are based on the latest news, reports, and analytical sources.
  • No Explicit Time Horizon Needed: The engine intelligently infers the relevant future period based on question context.
  • Versatile Triggers: Activates on keywords like “predict,” “forecast,” “what are the odds,” “scenario analysis,” as well as on competitive, technology, or geopolitical queries.
  • Automation Friendly: Easily integrates into automated workflows for dashboards, reports, or alerting systems.

Best Practices

  • Be Specific but Open-Ended: While the skill can infer context, more precise questions yield richer insights (e.g., “Will electric vehicles dominate Indian cities by 2032?”).
  • Leverage Scenario Planning: Use the skill for “what-if” analyses, asking about multiple futures or branching outcomes.
  • Combine with Other Analyses: Use Soft Predict Future as part of a broader foresight or competitive intelligence pipeline, alongside quantitative methods.
  • Monitor Web Search Availability: Since the skill relies on real-time search, ensure this capability is enabled in your Claude Code environment.
  • Validate and Iterate: Treat outputs as directional guidance, not deterministic facts. Use the predictions as starting points for deeper research or expert validation.

Important Notes

  • Web Search Dependency: The skill requires web search to function. If web search is unavailable, the user should be informed, and the prediction process should not proceed.
  • No Explicit Dates Required: While users can specify years or periods, the engine handles questions without explicit dates and infers the appropriate prediction horizon.
  • Qualitative Foresight, Not Quantitative Certainty: Soft Predict Future is designed for soft, scenario-based predictions. It does not generate statistical forecasts or probabilities unless this information is present in source data.
  • Broad Applicability: Activate the skill for any future-oriented inquiry, including competitive races, technology adoption, market shifts, geopolitical changes, and more.
  • Open Source and Extensible: The skill can be modified or extended for custom use cases by developers familiar with the Claude Code ecosystem.

Soft Predict Future bridges the gap between immediate prediction needs and deep, model-driven foresight—making it an essential tool for analysts, strategists, and developers working in dynamic environments.