55 boosters for "processing" — AI-graded, open source, ready to install
Matchms enables mass spectrometry data processing and analysis with support for multiple file formats, spectral similarity calculations, and metadata harmonization. This booster is essential for metabolomics researchers, bioinformaticians, and data scientists working with MS/MS datasets.
Upstash QStash expert booster enables developers to build serverless message queues, scheduled jobs, and reliable HTTP-based task delivery without infrastructure management. Ideal for AI coding assistants helping teams implement async processing, cron jobs, and webhook systems.
Matchms enables mass spectrometry data processing and spectral analysis for metabolomics research, supporting multiple file formats and similarity calculations. Researchers and bioinformaticians working with MS data benefit from standardized workflows and compound identification.
mq is a jq-like CLI tool for querying and transforming Markdown files, with development guidelines covering Rust conventions, project structure, and multi-platform integrations (LSP, DAP, WASM, Python). Developers building Markdown processing pipelines or contributing to the mq project benefit from these structured instructions.
AgentVerse — Cursor Rules is a state management framework for Cursor IDE that enforces structured AI processing instructions and state validation. It benefits developers using Cursor who need consistent project state handling across AI-assisted workflows.
DeepClause is a neurosymbolic AI system with DML capabilities, offering CLI and Electron-based interfaces for advanced logical reasoning and clause processing. It benefits researchers and developers working with hybrid AI systems combining symbolic and neural approaches.
This MCP server integrates Nutrient's DWS Processor API with Claude, enabling AI agents to perform advanced document processing tasks including PDF handling, OCR, digital signatures, and redaction. Developers building document automation workflows and AI-powered applications benefit from seamless integration with Claude's context protocol.
A Claude Code skill that converts PDFs to Markdown format, supporting large files and Korean paths while avoiding common encoding issues. Developers working with PDF processing in coding tasks benefit from this automation.
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load spectral data from multiple formats, standardize metadata, calculate spectral similarities, and identify compounds for metabolomics workflows.
An agent specialized in Apache Spark engineering tasks, equipped with code reading, writing, and execution capabilities for data processing workflows. Useful for developers building and debugging Spark applications across Claude-powered platforms.
A Claude agent for automating data preprocessing tasks with library-first constraints and access to file operations and bash execution. Useful for developers building data pipelines who want to leverage Claude's capabilities with existing component libraries.
A payments processing agent that integrates with Claude Code and Desktop platforms to handle payment-related tasks. Developers building applications requiring payment functionality would benefit from this reusable agent.
A CLI tool for orchestrating AI agents at scale to analyze code repositories, manage GitHub collaborators, and conduct bulk research across multiple data sources including Notion and CSV. Ideal for developers and teams automating large-scale code analysis, data processing, and repository management tasks.
Cocode provides GitHub Copilot users with comprehensive coding standards and best practices guidance, covering type hints, Pydantic models, documentation, and error handling to enforce consistent code quality across teams.
Cocode is a Windsurf rules booster that provides guidelines for writing and editing Pipelex pipelines, covering file naming, structure, and best practices for code repository analysis workflows.
This MCP server enables Claude and Cursor to interact with Novita AI's API for AI-powered features like image generation and processing. Developers integrating Novita AI capabilities into Claude-based workflows will find this useful.
GPRPy enables Claude to process and visualize ground-penetrating radar data through signal processing, velocity analysis, and depth conversion—essential for geophysicists, archaeologists, and civil engineers analyzing subsurface structures.
mtpy enables geophysicists to process and model magnetotelluric data by reading EDI files, analyzing impedance tensors, and performing inversions for subsurface resistivity mapping. Essential for electromagnetic geophysics researchers and exploration professionals.
Welly is a specialized toolkit for geoscientists to load, process, and analyze subsurface well log data from LAS files, enabling multi-well projects, curve processing, and cross-well analysis. It's essential for petroleum engineers, petrophysicists, and geoscientists working with well data.
ObsPy booster enables seismic data processing, waveform analysis, and earthquake research by providing access to read multiple seismic formats, fetch FDSN data, and perform signal processing tasks. Geoscientists, seismologists, and geophysics researchers benefit from streamlined earthquake data workflows.
Heuristic scoring (no AI key configured).
This booster automates the startup of a complete payment platform stack (Spring Boot, MySQL, ELK, monitoring) using Docker Compose with a single script command. It's ideal for developers who need to quickly spin up a local development environment for a Java-based payment processing application.
A specialized agent for Node.js backend development with pure JavaScript, focusing on modern ES2024 patterns, async optimization, and runtime performance. Ideal for developers building high-performance APIs and services without TypeScript.
Copilot instructions for the Agentic RAG Demo project that provides context about an Azure-based RAG system with SharePoint integration, helping developers understand the codebase architecture and key components. Developers working on or extending this enterprise document processing system benefit from having immediate project context available.
