Tell Claude Code which installed skill a session needs, using Jev (TypeSafe AI) for the decision and skills.sh for discovery.
Search & discovery — page 3
Search front ends, indexes and recommenders that use Jev to rank or filter results.
157 active projects match this task, ordered by traction.
System-architecture skill for TypeSafe AI Jev/System One — find fuzzy semantic judgment and turn it into small Choice/Score/Noul primitives.
One sentence in, a product demo video out. Jev drives your real product in a browser; an index built from your source code guides it.
Jev Research Index is a bilingual catalogue of papers, software projects, interviews, public analyses, demonstrations, and social-media material related to Jev, the TypeSafe AI System One typed probabilistic decision model.
Find out whether a smaller model could handle some of your AI agent’s routine choices.
Turn a user's search sentence into filters your API already accepts, powered by Jev
Local-first Markdown memory alignment and source-linked search with optional Jev judgments
Find files by describing them in plain English: find(1) with a semantic --like predicate, answered by TypeSafe.ai's jev model
Agent X-Ray — find out why your AI agents fail.
Find out which qualities of your writing actually predict engagement. Rates every post you have published against a pre-registered rubric using Jev's calibrated judgments, then tests those ratings against your real engagement numbers. Refuses to report findings your sample cannot support.
A universal search in your browser that finds the relevant passage, page, or control on the site you’re viewing in a fraction of a second
Gits is a browser extension powered by Jev to search the leads data on the Google Maps
Community index of tools, models, and real-world use cases built on Jev.
Throw in a pile of company files and get them classified and organized by department, type, sensitivity, date, counterparty and PII, with an index for AI agents. Powered by TypeSafe's Jev on OpenRouter (17¢ per 1,000 files). Zero-dependency Node CLI + Claude skill + Codex agent.
MCP server: screen PubMed titles/abstracts against a query or clinical question with TypeSafe Jev
Parallel web search for terminals and agents, with local Chromium and Jev-guided exploration.
Fast semantic code search & diff sanity auditor for AI coding assistants (Antigravity, Cursor, Claude Code) powered by TypeSafe System One.
Agentic RAG pipeline for biomedical evidence discovery: query planning and multi-round search across twelve public databases plus citation-graph expansion, ranking by relevance and study design, and citation-grounded synthesis with disagreements reported explicitly.
Deterministic, query-aware context compaction — harness-agnostic, local, reversible, fail-open, multilingual, and zero-LLM in the extractive path.
Tool search for LLM agents: BM25 vs embeddings vs rerankers vs Jev on 525 real MCP tools, plus an experimental Jev search engine
CLI tool to query TypeSafe AI's System One API (Jev model). Designed for scripts, shell pipelines, and agent tool calls where you need fast decisions without invoking a full LLM workflow.
Find the LLM calls in your codebase that are really decisions, see what they'd save on TypeSafe Jev, and prove it on live traffic before you swap. TypeScript, JavaScript, Python.
Find where a folder of Markdown notes contradicts itself, and ask it anything. Every pair of notes crosschecked, every note asked, with Jev via OpenRouter.
Find Amazon keyword ideas with Nexscope and evaluate their relevance to listing text with Jev.