Future Tokens
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.
Install
npx skills add jordanrubin/FUTURE_TOKENS --skill future-tokensgit clone --depth 1 https://github.com/jordanrubin/FUTURE_TOKENS.git /tmp/FUTURE_TOKENS
mkdir -p ~/.claude/skills
cp -r /tmp/FUTURE_TOKENS/. ~/.claude/skills/future-tokensPersonal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Future Tokens: Corrective Instruments for AI Reasoning Every AI output has structural blind spots. Coherence optimization suppresses gaps. Token-level generation locks in frames before alternatives are considered. Confidence distributes smoothly over claims that deserve scrutiny in different places. These aren't random errors — they're predictable artifacts of how generation works. Future Tokens operations are named, composable instruments that target specific blind spot types. Each one reliably surfaces information that the generation process systematically omits, because the blind spots are structural, not random. And they're generative — every pass changes the consideration space, shifting the blind spot geometry so the next pass finds new material. Part of the [FUTURE TOKENS](https://jordanmrubin.substack.com/p/future-tokens) project. This collection is compatible with both Claude and Codex workflows. ## When to use If you just produced an output, it has predictable gaps. Match what you built to the operation that catches what it missed. | you just built… | it probably missed… | run this | |------------------------------------|------------------------------------------------------------------------|-------------------------| | a questionnaire or survey | questions you couldn't think to ask because coherence suppresses gaps | @negspace |
Details
- Skill name
future-tokens- Repository
- jordanrubin/FUTURE_TOKENS
- Repo updated
- 19 February 2026
FAQ
What does the Future Tokens skill do?
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 do I install the Future Tokens skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add jordanrubin/FUTURE_TOKENS --skill future-tokens. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Future Tokens popular?
It lives in jordanrubin/FUTURE_TOKENS, which has 66 GitHub stars and 4 forks.
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