117 boosters for "roc" — 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.
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.
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.
Supply Chain Strategist is an AI agent that helps companies optimize procurement, manage suppliers, and build resilient supply chains with expertise in China's manufacturing ecosystem. It benefits procurement teams, supply chain managers, and companies sourcing from Asia.
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.
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.
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.
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.
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.
Clarify helps developers improve confusing UX copy, error messages, and interface labels by identifying and fixing clarity problems like jargon, ambiguity, and wordiness. It's essential for anyone building user-facing products who wants to enhance usability through better microcopy.
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
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the command line tool. Model and Dataset cards can be accessed from repos
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 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.
"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.
Heuristic scoring (no AI key configured).
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.
Create detailed implementation plan using the implementation-planner agent. ⚠️ Requires ResearchPack from or 1. Checks ResearchPack exists and passed validation (80+)
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.
