Deploy composable reasoning moves to surface structural blind spots in AI outputs.
npx skills add https://github.com/jordanrubin/FUTURE_TOKENS --skill future-tokens
Please help me install this Agent Skill. Skill: future-tokens Source: https://github.com/jordanrubin/FUTURE_TOKENS/tree/main Command: npx skills add https://github.com/jordanrubin/FUTURE_TOKENS --skill future-tokens
This master Skill provides a unified library of composable reasoning moves that enable users to surface blind spots, clash theories, and synthesize insights in AI-assisted thinking.
Invoke a move by name on your current analysis (e.g., run @negspace on the argument) to reveal missing premises and hidden premises.
High-intent search queries and answers about installing and using this skill.
Surface hidden blind spots in AI reasoning by applying composable reasoning moves like ANTITHESIZE or EXCAVATE to your analysis, which reveals missing premises and structural gaps in AI outputs.
Critique AI outputs for missing premises by invoking self-contained moves like NEGSPACE on your current argument, which identifies hidden assumptions and structural flaws in the generated text.
Use composable reasoning moves for synthesis tasks by chaining procedural definitions like SYNTHESIZE and DIMENSIONALIZE on your dataset, clashing theories to generate consolidated insights across domains.
No specific dependencies are required to run structured reasoning prompts; the library operates with self-contained move directories and optional resources like scripts and references loaded directly into context.
Yes, you can use these reasoning techniques with Claude Code and Codex workflows, as the moves support context-aware execution across both platforms for analysis, critique, and decision-making.
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