Explore AI Boosters

80 boosters for "projects" — open source, verified from GitHub, ready to install

927 Skills425 Plugins628 Agents824 MCP Servers1282 Prompts

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"projects"

Risk Audit Mcp MCP Server

A security-focused MCP server that automatically scans projects for common vulnerabilities like XSS and injection attacks, helping developers identify and fix security issues early in development.

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vespertide

Vespertide enables developers to define database schemas declaratively in JSON and automatically generate typed migrations and SQL for Vespertide-based projects. Teams building data-driven applications benefit from schema validation, type safety, and streamlined database model management.

by diegosouzapw

databaseai

CC

Skill

code-review

Provides automated code review for Next.js and TypeScript projects, checking against team standards for types, patterns, security, and performance. Ideal for developers seeking consistent feedback on PRs and components.

leave-app — Cursor Rules

Cursor Rules booster that provides context about JHipster-generated monolithic applications to improve AI code completion and suggestions. Useful for developers working with JHipster projects who want better AI assistance tailored to their stack.

movie-collection-tracker — Cursor Rules

Cursor Rules booster that provides context about JHipster-generated monolithic applications with JWT authentication and SQL databases, helping developers understand the project structure and technology stack.

reflect-codex-skills

Summarize and reflect on past Codex coding sessions by querying session histories, filtering by date or ID, and retrieving cached reflections. Useful for developers who want to review their coding work and track project progress over time.

by diegosouzapw

CC

Skill

final-cut-pro

A Final Cut Pro FCPXML format reference booster that helps developers generate and understand FCP-compatible XML projects, covering version compatibility, structure, and key features for video editing workflows.

by diegosouzapw

CC

Prompt

aioia-core — Copilot Instructions

Core development guidelines for AIoIA projects covering code quality, security, testing, and release practices for Python and TypeScript codebases. Ideal for teams building multi-language infrastructure who need unified standards and automated workflows.

by algorima

copilotrules

CoPi