jev-desktop
An AI agent skill from NanmiCoder/cc-haha, scored 56 out of 100 by code.
Code score by group
It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Drive a desktop application from one plain-language goal, or resolve one intent at a time, without ever reading the accessibility tree. Use when automating a desktop app and you want to keep a 150-element JSON tree out of your context. Hand `run.mjs` a whole goal and it observes, decides and acts until the goal is met; hand `act.mjs` a single step when you want to keep the plan yourself. Covers which element, which operation, when to look deeper, and when to stop. Needs a clone of the agent-desktop repository and a TYPESAFE_API_KEY.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- NanmiCoder/cc-haha
- Folder
- native/agent-desktop/skills/jev-desktop
- License
- Not identified by GitHub
- GitHub stars
- 15,416
- SKILL.md lines
- 286
- Other files
- 0
Add jev-desktop to your agent
npx skills add NanmiCoder/cc-haha --skill jev-desktop
The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored. GitHub identifies no license for this repository, so check its terms before you use it.
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All skills in NanmiCoder/cc-haha
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.