claude

typed-decision-engineering

Model-agnostic typed decision engineering: bounded judgments, runtime validation, uncertainty routing, and honest token/cost benchmarks.

18 on GitHubv1.0.0MITupdated 28 days ago
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Plugin typed-decision-engineering from marketplace lemon-ai-hub in Andersonlimahw/lemon-ai-hub. Commands read from the repo's manifest — 28 days ago.

What it installs

Skills (4)

  • typed-decision-engineering

    Design model-agnostic workflows using narrow typed decisions, deterministic composition, uncertainty routing, and measured token/cost comparisons. Use for typed AI decisions, bounded choice/score/binary-probability questions, structured-output routing, token-efficiency benchmarks, or replacing fragi

  • decision-design

    Decompose broad AI tasks into atomic Choice, Score, and Noul judgments; batch independent questions and compose results deterministically with confidence-aware routing.

  • token-benchmark

    Measure baseline versus typed-decision pipelines using comparable token, call, latency, cost, retry, and quality data; generate honest Markdown reports and slides.

  • type-safe-contracts

    Build provider-neutral typed AI contracts with JSON Schema validation, adapters for native or generic LMs, bounded repair, and explicit failure handling.

View source on GitHub

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