augustus

Solid

Use when placing typed probabilistic judgment (Jev-class System One / decision models) with mathematical, logical, or algorithmic mental models — in AI, software, business, knowledge work, or life, not only SWE; deciding where a fast cheap categorization/classification/scoring model belongs versus generation, exact policy/code, or proof; applying expected utility, selective classification/abstention, calibration, cost-sensitive thresholds, value of information, MCDA, signal detection, search/control substitutions, or Leveson-style org/safety; using NATM/snap-fit/Norman as design intuition; designing mixed architecture (decision model + LLM writing); auditing an existing system, PR, workflow, or non-software practice for judgment-shaped holes and code smells; debugging a question that hovers near 0.5, clusters mid-scale, or hides two judgments; placing agent self-supervision gates (pre-action, output judge, done-check, stuck-detector, context sieve); coupling a typed judge as an optimizer metric (Ax, DSPy); ch

AI & Automation 10 stars 2 forks Updated today MIT

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Quality Score: 82/100

Stars 20%
35
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Augustus Design-judgment skill for **placing typed probabilistic judgment** (the Jev-class of System One / decision models) using mathematical, logical, and algorithmic mental models — across **AI, software, business, knowledge work, and life**. Not limited to software engineering. Formal methods are one pillar (`references/formal-methods.md`); the portable frames are `references/mental-models.md`. TypeSafe Jev is the documented **exemplar** (typed Choice / Score / Noul), not the monopoly. This skill owns **where judgment belongs**; the official `typesafe-ai` skill plus the live docs own Jev integration contracts — read them before writing Jev API code. Neighbor skills `tenbin` (lint/measure) and `decision-first` (try-Jev-first habit) own their jobs. Do not collapse into a TypeSafe how-to, a Laya install, a kev serve, a blackwood vLLM how-to, a jev-local Docker install, or a GLiClass or GLiNER tutorial. Pick the **pillar** from the hole (expected utility, VOI, MCDA, signal detection, search/control, org/safety, formal methods), then the **family** (`references/judgment-class.md`), then the vendor. Default placement is **mixed architecture**: exact work in code/policy, narrow judgment on a System One–class model, generation only where something must be written. Central model: **evidence → semantic judgments → explicit policy → checked action → observed outcome.** Every design must name what the judgment model estimates, what remains exact, what (if anything) is still gen...

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Author
24601
Repository
24601/Augustus
Created
1 weeks ago
Last Updated
today
Language
Python
License
MIT

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