Ai-trainee/awesome-jev
Chinese case library of Jev posts and open-source projects, packaged as an agent skill that suggests how Jev could fit your task.
This repository is mostly documentation or write-up rather than runnable code.
Overview
awesome-jev by Ai-trainee is a continuously updated case library of Jev usage collected from X, blogs, forums and papers, with 68 posts and 56 selected open-source projects across nine application scenarios (browser and computer automation, games, trading, model routing, context compression and more). A shared spreadsheet copy allows filtering by scenario, score and source.
The repository root is also a skill package: SKILL.md plus references/index.json with 124 case records. An agent that loads it can jump to the matching scenario, pick highlighted high-scoring cases and use screenshots and original links to recommend concrete Jev patterns, even when the user has not said how they want to use Jev.
What the decision model decides
| Type | Question | Answers |
|---|---|---|
| Other | Which known Jev usage pattern fits the user's task?(inferred) | — |
How it works
- Install the repo into the agent's skills directory
- Agent reads SKILL.md and the case index
- Agent matches user intent to a scenario
- Agent recommends cases and patterns with source links
Strengths
- Doubles as a human reading list and an agent skill
- Structured index of 124 cases
Caveats
- Chinese-language content (English README available)
- Curated collection; no code of its own
Getting started
Clone https://github.com/Ai-trainee/awesome-jev into your agent's skills directory as awesome-jev and load SKILL.md.At a glance
- Type
- Article
- Status
- production
- Runtime
- agent skill
- Has code
- no
- Has tests
- no
Use cases and integrations
How curated lists describe it
Case library of posts and projects, packaged as a skill an agent loads to suggest how Jev might fit the work in front of it. Chinese.
MrJev/awesome-jev
Frequently asked questions
What is in it?
68 posts and 56 open-source projects about Jev, grouped into nine scenarios.
How is it a skill?
The root has SKILL.md and a JSON index so an agent can load it and recommend patterns.
Is there an English version?
Yes, README_EN.md.
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