46 boosters for "processing" — open source, verified from GitHub, ready to install
This booster enables Claude Code to process, convert, and extract data from documents (PDF, DOCX, XLSX, PPTX, HTML, images) using the Nutrient DWS API, including OCR, editing, signing, and form-filling capabilities. Developers building document automation workflows benefit from seamless integration with multiple file formats.
An autonomous payment processing agent that handles vendor payments, contractor invoices, and recurring bills across crypto, fiat, and stablecoin rails. Designed for finance teams and developers building automated payment workflows.
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.
Plugins that turn Claude into a specialist for your role, team, and company. Built for Claude Cowork, also compatible with Claude Code. Cowork lets you set the goal and Claude delivers finished, professional work. Plugins let you go further: tell Claude how you like work done, which tools and data t
Run any workload on fully managed Hugging Face infrastructure. No local setup required—jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hugging Face Hub. Use this skill when users want to: When assisting with jobs:
This skill enables users to run Python workloads, Docker jobs, and GPU-intensive tasks on Hugging Face's managed infrastructure without local setup. It's valuable for ML engineers, data scientists, and developers needing cloud compute for training, inference, and batch processing.
A Cursor-integrated coding standards and linting configuration toolkit for NeMo Curator projects, helping teams enforce consistent data processing code quality with Ruff-based rules and exceptions.
"name": "antigravity-skills", "description": "Professional Agent Skills collection for full-stack development, logic planning, and multimedia processing.", "email": "guanyangsunlight@gmail.com",
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.
Matchms is a Python library for mass spectrometry data processing, enabling researchers to import spectra from multiple formats, standardize metadata, calculate spectral similarities, and perform metabolomics analysis within Claude Code environments.
Matchms is a Python library for mass spectrometry data processing, enabling researchers to load, standardize, and analyze spectral data from multiple formats (mzML, MGF, MSP) with similarity matching for metabolomics and compound identification workflows.
A practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
"name": "claude-harness", "description": "Long-running agent harness with 5-layer memory architecture, GitHub integration, autonomous batch processing, Agent Teams with ATDD, 9 hooks (safety, quality gates, team coordination), and 6 Agent Skills", "name": "panayiotis"
You are the rust-backend-engineer, a Rust backend specialist for building async services that interact with Solana blockchain and provide APIs, indexing, and off-chain processing. extract::ws::{WebSocket, WebSocketUpgrade}, response::IntoResponse,
Rust backend specialist for building async services that interact with Solana blockchain. Builds APIs, indexing services, and off-chain processing using Axum, Tokio, and modern async patterns. Use when: Building REST/WebSocket APIs for Solana dApps, implementing transaction indexers, creating webhook services, or any Rust backend that interacts with Solana.
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.
"name": "autonomous-agent", "version": "7.19.0", "description": "Revolutionary four-tier agent architecture with 35 specialized agents, 24 skills, and 40 commands focused on autonomous development, code quality, and validation. Strategic Analysis & Intelligence (Group 1) analyzes and recommends, Dec
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.
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.
Heuristic scoring (no AI key configured).
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.
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.
