mp-cursor-playbook

npm v1.0.1

5 weekly downloads · ISC · 0 Dependencies

Recently publishedNew packageZero dependenciesSingle maintainer

Source data as of:

Summary

Cursor is a powerful AI-enabled IDE, forked from VS Code. With proper configuration and usage, it can significantly boost your development speed and code quality. Configuration is done through a combination of Rules, .curso

Install npm install mp-cursor-playbook

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 5 Source: npm Registry
Releases 2 Last release: 2026-02-06 Source: npm Registry
Dependencies 0 Source: npm Registry

Description

Cursor is a powerful AI-enabled IDE, forked from VS Code. With proper configuration and usage, it can significantly boost your development speed and code quality. Configuration is done through a combination of Rules, .curso

Registry-supplied description, cleaned to plain text. Source: npm Registry.

Show original (raw) description
[Cursor](https://www.cursor.com/) is a powerful AI-enabled IDE, forked from VS Code. With proper configuration and usage, it can significantly boost your development speed and code quality. Configuration is done through a combination of **Rules**, `.curso

Package details

Package
mp-cursor-playbook
Registry
npm
Version
1.0.1
Weekly downloads
5 (weekly)
License
ISC
Dependencies
0
Releases
2
Last release
2026-02-06
First published
2026-02-06
Homepage
https://github.com/melhorplano-labs/cursor-playbook#readme

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 36.0 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 1.8 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 9.9 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources