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jev-engineering

Design and build use cases, POCs and production systems with TypeSafe's Jev decision model (System One): choose a design mode and a use-case archetype, build…

Skill by pedronauck

IndexedLicense unknown★ 641
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/pedronauck-jev-engineering

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Design and build use cases, POCs and production systems with TypeSafe's Jev decision model (System One): choose a design mode and a use-case archetype, build decision state, write typed questions, combine Jev with generative models, durable workflows, retrieval and perception tools, aggregate and gate in code, keep failures and costs visible, evaluate and roll out; covers the jev-1.14 danger-zone features (images, Box, long context). Use when building anything with Jev, from a first POC to a product, or when reviewing an existing Jev integration. Ships dependency-free reference clients (TypeSafe API, OpenRouter Decisions, Vercel AI Gateway) and a POC skeleton. For primitives and live docs alone use TypeSafe's typesafe-ai skill; not for generic LLM prompting.

Use cases: design, backend, cloud, ml, code-generation, model-inference

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/jev-engineering

What's inside

Skill name
jev-engineering
Description
Design and build use cases, POCs and production systems with TypeSafe's Jev decision model (System One): choose a design mode and a use-case archetype, build decision state, write typed questions, combine Jev with generative models, durable workflows, retrieval and perception tools, aggregate and gate in code, keep failures and costs visible, evaluate and roll out; covers the jev-1.14 danger-zone features (images, Box, long context). Use when building anything with Jev, from a first POC to a product, or when reviewing an existing Jev integration. Ships dependency-free reference clients (TypeSafe API, OpenRouter Decisions, Vercel AI Gateway) and a POC skeleton. For primitives and live docs alone use TypeSafe's typesafe-ai skill; not for generic LLM prompting.
License
unknown
Instructions
70 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (16)

  • SKILL.md
  • jev-client.ts · assets/
  • jev_client.py · assets/
  • poc_skeleton.py · assets/
  • question-bank.example.json · assets/
  • aggregation-and-gates.md · references/
  • design-modes.md · references/
  • evaluation.md · references/
  • images.md · references/
  • mechanisms.md · references/
  • questions.md · references/
  • reliability.md · references/
  • state.md · references/
  • tooling.md · references/
  • transport.md · references/
  • use-cases.md · references/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from pedronauck/skills

Signals

Stars
641
Forks
91
Open issues
0
Last commit (this folder)
Oct 20, 2026 (7 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
Repository
github.com/pedronauck/skills
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

jev-engineering skill. Agent Mart. https://agentmart.dev/skills/pedronauck-jev-engineering (last updated 2026-10-24)