4,723 boosters for "r" — open source, verified from GitHub, ready to install
JN is a command-line ETL tool for data transformation using NDJSON as a universal format, enabling developers to filter, convert, and stream data across CSV/JSON/Excel/YAML formats with Unix pipes.
A Next.js skill booster that teaches fullstack React patterns including routing, SSR/SSG, API routes, and deployment best practices. Ideal for developers building server-rendered React applications or configuring Next.js projects for production.
Use beads for structured task tracking with dependencies, recovery cards, and cross-session context management
This skill enables developers to manage Azure DevOps resources (repos, pipelines, boards, work items) directly from the command line using the az CLI. It's essential for teams using Azure DevOps who want to automate workflows and integrate DevOps operations into CI/CD scripts.
Quickly diagnose which processes are using Shella's port range (47100-47199) to identify port conflicts and running services. Essential for developers debugging local development environments and plugin conflicts.
For all code generation, refactoring, or architectural decisions in this project, you MUST first read and strictly abide by the rules defined in the file located at the root of this repository.
Transform a Vibes app into a multi-tenant SaaS with subdomain-based tenancy. Adds Clerk authentication, subscription gating, and generates a unified app with landing page, tenant routing, and admin dashboard.
A Google Calendar CLI tool that enables AI assistants to view, create, manage, and check availability across multiple calendar accounts. Useful for developers and AI applications that need programmatic calendar integration.
A plaintext-first docstring formatting specification for Python code that standardizes documentation style across projects. Developers writing or maintaining Python codebases benefit from consistent, readable documentation practices.
Implements UI/UX systems including responsive design, animations, input handling, HUD elements, and menu systems. Use when building game interfaces, menus, HUDs, or any user-facing UI.
uni-cli is a unified command-line interface that enables AI agents to seamlessly interact with 25+ services (messaging, productivity, research, utilities) through a consistent pattern. Developers and AI builders benefit from simplified multi-service integration without learning individual APIs.
my-voice helps Pete maintain consistent, authentic tone and style across all written communication by providing clear voice guidelines and real-time feedback. Useful for anyone wanting to preserve a personal writing voice across diverse mediums.
This booster provides best practice guidelines for Docker, npx, uv, and package publishing workflows, intended to standardize development processes in Windsurf environments. It benefits developers seeking consistent build and deployment practices across multiple tool ecosystems.
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
A quality assessment skill that runs automated validation, AI-based evaluation, and risk scoring on SpecWeave increments to make informed quality gate decisions. Developers using SpecWeave will benefit from automated quality checks and structured decision-making.
Nix Development booster provides intelligent assistance for Nix/NixOS development by researching up-to-date information across multiple documentation sources. Developers working with Nix packages, flakes, derivations, and NixOS configurations benefit from accurate, context-aware guidance.
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
A structured skill for creating Book Requirements Documents that guides users through systematic interviews and genre-specific considerations for fiction and nonfiction projects. Useful for authors, publishers, and AI writing assistants planning book projects.
Provides structured guidance for working with CUE schema files and parsing flows in invkfile, invkmod, and config schemas. Developers maintaining or extending CUE-based configuration validation will benefit from this reference.
Research people and companies, add to CRM database with smart linking
A life management AI assistant that proactively handles daily planning, evening reviews, health tracking, and investment monitoring through event-driven workflows triggered by natural language keywords in both English and Chinese.
VCG is a shorthand alias for the vc-router that prioritizes fast iteration and shipping working baselines over perfection. Best suited for developers who want quick, opinionated coding decisions without lengthy deliberation.
Bip is a CLI tool for managing academic references locally and searching papers via external APIs, designed for researchers and developers working with the bipartite reference library. It helps users efficiently organize and discover academic papers while prioritizing local search over external API calls.
Ray is an expert booster for Apache Ray distributed computing that helps developers convert Python code to Ray workloads, debug applications, and optimize performance across Ray's ecosystem (Core, Data, Train, Serve, Tune). Ideal for ML engineers and Python developers scaling computations from single machines to clusters.
