Jev Skill — Development skill for Claude Code
Jev skill for Claude Code and Codex: TypeSafe System One guide, Python CLI, 5 tested recipes, and findings from 19,367 Jev calls.
How to install Jev Skill
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open marcodicesare-dev/jev-skill and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Jev Skill does
Jev skill for Claude Code and Codex: TypeSafe System One guide, Python CLI, 5 tested recipes, and findings from 19,367 Jev calls.
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README
Jev skill for Claude Code, Codex and other coding agents
**We ran Jev more than 19,000 times. This is the guide we wish we had before call one.** The [research tally](reference/research-scope.md) records 19,367 successful Jev API responses and 90.4M metered input tokens in 4 days of experiments. The useful part is what survived those tests: 5 copyable recipes, a CLI, failures, and the conditions under which each result held.
Start with [**The Ultimate Guide to Jev (After 19,367 Calls and 90M Tokens)**](https://marcodicesare-dev.github.io/jev-skill/) if you want the full story, an honest decision map and a first workflow you can run. The [Markdown version](GUIDE.md) lives here in the repo.
[Jev](https://docs.typesafe.ai/) takes a `state` and focused questions and returns typed answers: **Choice** (one option), **Score** (a described scale), or **Noul** (yes/no). It does not write prose. Your code decides what to do with its answers. This repository adds a standard-library Python CLI, 5 tested question sets, and measurements from real work. It is an independent community project, [not TypeSafe's official skill](https://github.com/typesafe-ai/skills).
Install the Jev agent skill
git clone https://github.com/marcodicesare-dev/jev-skill.git ~/.claude/skills/jev # Claude Code
git clone https://github.com/marcodicesare-dev/jev-skill.git ~/.agents/skills/jev # Codex and others
export TYPESAFE_API_KEY=... # set locally; never paste a real key into a prompt or commit
Then ask your agent: **“Use the Jev skill to find one repeated, bounded decision in this workflow. Show me the question, the state, and a small labelled test before changing the workflow.”** Python 3 and an API key are enough to use the CLI; there are no package dependencies. You can also install [TypeSafe's official skill](https://github.com/typesafe-ai/skills) with `npx skills add typesafe-ai/skills --skill typesafe-ai`; use its live documentation for current provider behavior.
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