Every AI output has structural blind spots determined by the generation process itself. Future Tokens operations are named, composable instruments that target specific blind spots. They surface new information on every pass because expanding the output changes the blind spot geometry.
How to install future_tokens?
jordanrubin/future_tokens
$npx -y skills add jordanrubin/future_tokens --skill future_tokensInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/jordanrubin/future_tokens" --skill "jordanrubin/future_tokens"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/jordanrubin/future_tokens" that are relevant to the current task. Run `npx skills add "https://github.com/jordanrubin/future_tokens"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- researchInvestigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo.Jul 2026
- analyze-projectRigor Analyze / Rigor Audit read-only skill for deep learning research repositories.Jul 2026
- paper-context-resolverRigor Paper Context helper for README-first deep learning repo reproduction.Jul 2026
- repo-intake-and-planRigor Intake helper for README-first deep learning repo reproduction.Jul 2026
- firecrawl-searchWeb search with full page content extraction. Use this skill whenever the user asks to search the web, find articles, research a topic, look something up, find…Jul 2026
- customer-researchWhen the user wants to conduct, analyze, or synthesize customer research.Jul 2026
