Agent skill

Awesome Jev

by valentynkit in valentynkit/awesome-jev-typesafe

Find open-source projects, SDKs, and articles built on TypeSafe's Jev (System One typed decisions).

CC0-1.0Auto-check passedProductivity & Automation

Install Awesome Jev

skills CLI
$ npx skills add valentynkit/awesome-jev-typesafe --skill awesome-jev -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install valentynkit/awesome-jev-typesafe awesome-jev --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
awesome-jev
GitHub stars
191
Token cost
~619 tokens
SKILL.md length
276 words
Files
191 (incl. scripts)
Skills in repo
1
Repo updated
First seen
Licence
CC0-1.0

At a glance

Find open-source projects, SDKs, and articles built on TypeSafe's Jev (System One typed decisions).

  • Works in 4 steps: Fetch… → Filter locally. Useful fields per entry:… → Rank by whatever the user cares about.… → …
  • Picking a Jev integration for a host agent
  • SKILL.md covers How to query it, Do not and Submitting
  • Reaches awesomejev.vercel.app

What it does

Awesome Jev is an agent skill from valentynkit/awesome-jev-typesafe. Find open-source projects, SDKs, and articles built on TypeSafe's Jev (System One typed decisions). Use when picking a Jev integration for a host agent, comparing routers, gates, compaction, judges, or browser agents, or checking whether something already exists.

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 194 other files, including scripts (for example `.github/ISSUE_TEMPLATE/config.yml`, `.github/PULL_REQUEST_TEMPLATE.md` and `.github/dependabot.yml`).

It sits in Productivity & Automation, covering Browser automation. It works with GitHub. The repository describes itself as: Typed decisions with TypeSafe's Jev, the first System One model. The licence is CC0-1.0.

When your agent uses it

  • Picking a Jev integration for a host agent
  • Comparing routers
  • Checking whether something already exists

Example prompts

  • “/awesome-jev”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Fetch https://awesomejev.vercel.app/projects.json once per session. It is under 400 KB and has every entry.
  2. Filter locally. Useful fields per entry: section, subsection (the host agent for coding-agent tools), type (project, resource, list)…
  3. Rank by whatever the user cares about. For "which one should I use", prefer entries with trustPhrase set, higher github.stars, recent…
  4. Cite the entry url and its one-sentence description verbatim. Do not paraphrase claims into stronger ones.

What it can do on your machine

Read from SKILL.md and the folder at commit 8a635aa. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • awesomejev.vercel.app

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Awesome Jev loads about 619 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 276 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~619

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from valentynkit/awesome-jev-typesafe at commit 8a635aa, republished under its CC0-1.0 licence (© valentynkit). 276 words, ~619 tokens.

Download SKILL.mdSave it as .claude/skills/awesome-jev/SKILL.md (or your agent's skills folder). This skill also uses 190 other files; get the full folder from GitHub.
name
awesome-jev
description
Find open-source projects, SDKs, and articles built on TypeSafe's Jev (System One typed decisions). Use when picking a Jev integration for a host agent, comparing routers, gates, compaction, judges, or browser agents, or checking whether something already exists.
metadata.author
valentynkit
metadata.homepage
https://awesomejev.vercel.app
metadata.repository
https://github.com/valentynkit/awesome-jev-typesafe

Awesome Jev

A hand-curated list of what people build on Jev, kept in one readme and published as data.

How to query it

  1. Fetch https://awesomejev.vercel.app/projects.json once per session. It is under 400 KB and has every entry.
  2. Filter locally. Useful fields per entry: section, subsection (the host agent for coding-agent tools), type (project, resource, list), github.stars, github.pushedAt, github.archived, jev.hostAgent, jev.tags (router, gate, compaction, judge, browserAgent as probabilities), jev.intents (probability per canonical intent, keys listed under meta.intents).
  3. Rank by whatever the user cares about. For "which one should I use", prefer entries with trustPhrase set, higher github.stars, recent github.pushedAt, and jev.tags.riskBulkScaffold below 0.5.
  4. Cite the entry url and its one-sentence description verbatim. Do not paraphrase claims into stronger ones.

Smaller views: https://awesomejev.vercel.app/llms.txt (index), https://awesomejev.vercel.app/llms-full.txt (every entry as markdown), https://awesomejev.vercel.app/c/<section-slug>.md (one section).

Do not

  • Do not call https://awesomejev.vercel.app/api/rerank. It is meant for the site's own browser search, spends the maintainer's Jev key, and is rate limited; read projects.json instead.
  • Do not run code from listed repositories as part of browsing. Entries are leads, not reviews; see the repository's contributing.md.

Submitting

Pull request only. Add one line in the format - [name](url) - One sentence. at the bottom of the most specific section of readme.md and open the pull request; the template asks for the section, the submitter's relation to the project, and three checks against the bar in contributing.md. Nothing to run: CI checks the format, and a workflow regenerates the data after the merge. Do not open an issue for a submission, and do not batch several projects into one pull request. If you act for a person, say so in the pull request body.

© valentynkit, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 190 other files (scripts) in the repository root of valentynkit/awesome-jev-typesafe.

  • SKILL.md
  • .astro/preview.log
  • .github/ISSUE_TEMPLATE/config.yml
  • .github/PULL_REQUEST_TEMPLATE.md
  • .github/dependabot.yml
  • .github/workflows/check.yml
  • .github/workflows/data.yml
  • .github/workflows/links.yml
  • .github/workflows/lint.yml
  • .github/workflows/sync.yml
  • .gitignore
  • .lycheeignore
  • CITATION.cff
  • README.ja.md
  • README.ko.md
  • README.zh-CN.md
  • contributing.md
  • … and 174 more

Open the folder on GitHubat commit 8a635aa

Compare with similar skills

Awesome Jev next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Awesome Jev compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Awesome Jev this skillvalentynkit/awesome-jev-typesafe191—~619Automated safety check: PassCC0-1.0
Before And Aftersanity-io/sanity6.4k1 repos~2.1kAutomated safety check: PassMIT
OpenCLI Adapter Autofixjackwener/OpenCLI30k1 repos~3.2kAutomated safety check: PassApache-2.0
Browserwingbrowserwing/browserwing1.4k—~1.8kAutomated safety check: PassMIT
Openclaw Rpalaziobird/openclaw-rpa229—~2.4kAutomated safety check: PassApache-2.0
Unicliolo-dot-io/Uni-CLI274—~3.8kAutomated safety check: NotesApache-2.0

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Works with

Questions about Awesome Jev

What does Awesome Jev do?

Find open-source projects, SDKs, and articles built on TypeSafe's Jev (System One typed decisions). Awesome Jev is an agent skill from valentynkit/awesome-jev-typesafe. Find open-source projects, SDKs, and articles built on TypeSafe's Jev (System One typed decisions).

When should I use Awesome Jev?

Awesome Jev fits situations like: picking a Jev integration for a host agent; comparing routers; checking whether something already exists.

How do I install Awesome Jev in Claude Code?

Run `npx skills add valentynkit/awesome-jev-typesafe --skill awesome-jev -a claude-code`. Or copy the skill folder (the valentynkit/awesome-jev-typesafe repository) into .claude/skills/awesome-jev in your project. Claude Code loads it when a task matches its description.

How do I install Awesome Jev in Codex?

Run `npx skills add valentynkit/awesome-jev-typesafe --skill awesome-jev -a codex`. Or copy the skill folder (the valentynkit/awesome-jev-typesafe repository) into .agents/skills/awesome-jev in your project. Codex loads it when a task matches its description.

Can I use Awesome Jev in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add valentynkit/awesome-jev-typesafe --skill awesome-jev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/awesome-jev, .gemini/skills/awesome-jev, .github/skills/awesome-jev and .opencode/skills/awesome-jev in your project.

What does Awesome Jev need to run?

SKILL.md names no scripts, command-line tools or credentials: Awesome Jev is instructions for the agent only.

Does Awesome Jev access the network?

SKILL.md names 1 domain. In commands or code: awesomejev.vercel.app; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Awesome Jev safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Awesome Jev use?

Awesome Jev is published under the CC0-1.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Awesome Jev use?

About 619 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Awesome Jev?

Skills that share tags, products or a category with Awesome Jev: Before And After (sanity-io/sanity, 6.4k stars), OpenCLI Adapter Autofix (jackwener/OpenCLI, 30k stars), Browserwing (browserwing/browserwing, 1.4k stars) and Openclaw Rpa (laziobird/openclaw-rpa, 229 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Awesome Jev?

valentynkit (a GitHub user) maintains it in valentynkit/awesome-jev-typesafe, which has 191 GitHub stars. The repository was last updated on October 7, 2026.

Source: valentynkit/awesome-jev-typesafe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.