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Building with Decision Models

An unofficial skill for coding agents about building with decision models such as Jev, Clef, pplx-decider, ai_decide and Ollama, covering typed decisions, calibrated confidence, provider differences and 450+ linked projects sorted by implementation shape.
Stars
2
Language
Python
License
MIT
Reading time
2 min
Published by
Community
Author
aaddrick
Last verified
Oct 2026

Unofficial skill for building with decision models (Jev, Clef, pplx-decider, ai_decide, Ollama): typed decisions, calibrated confidence, provider differences, and prior art sorted by implementation shape.

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0
Last pushed
Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

Highlights

  • An unofficial skill that teaches coding agents to build with decision models such as Jev, Clef, pplx-decider, ai_decide and Ollama.
  • Covers typed decisions with calibrated confidence and the differences between providers.
  • Links 450+ projects in the space, sorted by implementation shape.
  • Ships as a Claude Code plugin with GitHub Actions checks and a plugin-load check workflow.
  • READMEs are published in English, Simplified Chinese, Japanese, Korean, Vietnamese and Portuguese (BR).

Watch out

README and GitHub metadata reviewed 2026-10-17; the digest excerpt covers the banner, badges and language links only, so the skill's instructions, install flow and the 450+ project list were not reviewed here.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

YouTube: Ray Amjad puts Jev inside an agentic coding loop and looks at what it costs to run.

YouTube: RoboNuggets puts Jev to work inside Claude Code.

Reddit: A Claude Code mod replaces the auto-mode classifier with Jev, 2x faster.

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