75 boosters for "process" — 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.
Workflow Optimizer is a process improvement agent that analyzes business workflows, identifies bottlenecks, and recommends automation solutions to boost productivity. It's ideal for operations managers, business analysts, and teams looking to streamline repetitive processes.
ZK Steward is an AI agent that helps users build interconnected, validated knowledge bases by adopting Niklas Luhmann's Zettelkasten methodology, switching between expert perspectives (Luhmann, Feynman, Munger, Ogilvy) based on task requirements. It's ideal for researchers, knowledge workers, and teams managing complex information who need systematic note-linking and cross-domain decision support.
Agents Orchestrator is an autonomous pipeline manager that coordinates multiple specialist agents to guide complete development workflows from specification to production. It benefits development teams seeking centralized quality control and workflow automation across their projects.
Converts project specifications into structured, realistic task lists while learning from previous projects to avoid scope creep. Ideal for product managers, tech leads, and development teams who need disciplined project planning.
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.
Studio Operations is an AI agent that helps teams optimize day-to-day studio efficiency through process improvement, resource coordination, and productivity management. It benefits project managers, operations leads, and studio teams seeking to streamline workflows and maintain consistent standards.
Incident Response Commander is an expert agent that guides engineering teams through production incident management, post-mortems, and on-call process design. It's designed for SREs, incident commanders, and reliable engineering organizations seeking structured incident coordination.
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.
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 skill that generates reusable command-line scripts for automating Hugging Face API interactions, useful for developers who need to repeatedly fetch, process, or chain API calls.
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.
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.
Heuristic scoring (no AI key configured).
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.
Secure agent runtime with trusted process mediation
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.
A skill that enables Claude to take screenshots to verify visual state and debug GUI applications, particularly useful for developers working with visual tools and uncertain operations.
Process MCP Server enables AI agents to execute system commands with structured output, timeouts, and signal handling across Cursor, Claude, and Copilot. Developers building AI-powered tools and automations benefit from token-efficient command execution with safety controls.
Kill orphaned dev servers, browsers, and port-hogging processes spawned during development. Use when ports are occupied, too many node/browser processes are running, or you want a fresh start.
An MCP Server that integrates Alibaba Cloud DevOps API capabilities into AI assistants, enabling automated participation in development workflows and team collaboration optimization. Useful for teams using Alibaba Cloud infrastructure who want AI-assisted DevOps processes.
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.
