when a designer gets access to Jev
AI Agent Skills
A collection of 26 production-ready agent skills for Claude Code, Cursor, Kiro, Windsurf, and OpenCode; four skills call TypeSafe Jev for calibrated Score and Noul judgments and fall back to heuristics when it is unavailable.
- Category
- Tools & Integrations
- Published by
- Community
- Author
- fabricioctelles
- Added
- 2026-09-22
Tagscommunitypythonskillsagentsclaude-codecodexcoding-agent
Highlights
- Four skills integrate Jev: humanizar and human-ai ask 8 Score and 12 Noul questions, slop-eval 8 Score and 16 Noul, and agent-plugin-eval 7 Score and 19 Noul.
- Each Jev-enabled skill ships scripts/jev_questions.json and a reference integration guide, and checks jev_available() before use.
- Skills install through several managers, including skillkit install fabricioctelles/skills and npx agent-skills-cli install with the repo URL.
- Also bundles engineering, SEO, GEO, and infrastructure skills, including a self-contained port of Lauren Tan's pstack with 23 playbooks.
Quickstart
bash
skillkit install fabricioctelles/skills
skillkit install fabricioctelles/skills --agent claude-code,cursorWatch out
Apache-2.0 except where a skill has its own license; skills/revenue-centric-design is source-available and prohibits gambling, betting, or casino use. Jev integration is optional and needs a key for live calls.
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From the community
Posts from builders shipping with Jev right now.
When a designer gets Jev
Full Jev video tutorial
Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor
The case against Jev-scored compaction
This is a terrible compaction strategy that fundamentally doesn't understand how compaction and context management work. Seems like a lot of people are confused so let's break this down. 1. Compaction isn't a filter The role of compaction is to clean up history to keep the Show more
found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant
Classifying rows in DuckDB
I made a DuckDB extension where you can use @typesafeai 's Jev to do quick classification of rows in any csv/parquet file or duckdb table about 10sec for 1k rows ~ better than using an LLM, way more ergonomic than a classifier game-changing for data analysis!
A playable 16-judgment demo
typesafe's jev is fun! live demo you can play with: typesafe-demo.val.run
AI multiple choice, not essay writing
WTF is Jev by @typesafeai? Here’s the tl;dr ELI5: Think AI multiple choice, not AI essay writing. It doesn’t chat. It makes decisions your software can act on: “Spam or not?” “Which tool should this agent use?” “Does this need a human?” The exciting part: roughly 200x faster Show more