Do I need to provide a specific target year for the forecast?

No, the engine is designed to infer the most reasonable horizon (Strategic, Operational, or Civilizational) based on the query context if a year is not provided.

Does it require external tools to function?

Yes, it requires the Bash tool and a local Python 3.x installation to execute the validation, scoring, and calculation scripts.

How does this differ from standard AI predictions?

Standard AI often estimates numbers; this skill uses a deterministic 12-step pipeline where Python handles all arithmetic to ensure mathematical accuracy and signal scoring.

Is this skill compatible with the Claude.ai web interface?

No, this skill is built for Claude Code and local desktop environments. For web-based forecasting, the 'Soft Predict Future' alternative is recommended.

Hard Predict Future

Name: Hard Predict Future
Author: davepoon

bydavepoon

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2,841

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Data Science & ML

Performs rigorous foresight analysis and scenario planning using a deterministic 12-step pipeline that combines Claude intelligence with Python arithmetic.

Hard Predict Future is a specialized foresight agent designed for high-stakes forecasting, market analysis, and long-term strategic planning within Claude Code. By orchestrating a rigorous 12-step deterministic pipeline, it ensures that qualitative insights are anchored by quantitative arithmetic performed via Python. The skill utilizes the STEEEP framework (Social, Technological, Economic, Environmental, Ethical, Political) and historical analogues to generate probabilistic scenarios, identify structural drivers, and provide decision guidance, moving beyond simple estimations to deliver data-backed future modeling.

Key Features

012,841 GitHub stars

02Quantitative analysis powered by local Python execution to eliminate estimation errors

03Automated reporting of Probable, Plausible, Possible, and Preferable scenarios

0412-step deterministic foresight and intelligence pipeline

05Historical analogue matching and cross-impact temporal analysis

06Comprehensive STEEEP framework signal collection and scoring

Use Cases

01Analyzing long-term geopolitical shifts and societal impacts

02Strategic competitive race analysis for high-stakes business decisions

03Predicting market dominance trends and technology adoption curves

Key Features

012,841 GitHub stars

02Quantitative analysis powered by local Python execution to eliminate estimation errors

03Automated reporting of Probable, Plausible, Possible, and Preferable scenarios

0412-step deterministic foresight and intelligence pipeline

05Historical analogue matching and cross-impact temporal analysis

06Comprehensive STEEEP framework signal collection and scoring

Use Cases

01Analyzing long-term geopolitical shifts and societal impacts

02Strategic competitive race analysis for high-stakes business decisions

03Predicting market dominance trends and technology adoption curves