29 boosters for "metadata" — open source, verified from GitHub, 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.
A skill for building and scaffolding ChatGPT Apps SDK applications that combine MCP servers with widget UIs, using a docs-first workflow. Developers building ChatGPT extensions and integrations benefit from structured guidance on tool design, UI registration, and SDK compliance.
A Cursor rules prompt that standardizes the DataHub development workflow by directing developers to use a centralized shell script (datahub-dev.sh) for all build, test, and flag operations. This benefits DataHub contributors by reducing setup friction and ensuring consistent development practices across the team.
Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction. 1. Optionally validate dataset availability with . 2. Resolve + with .
Hugging Face Paper pages (hf.co/papers) is a platform built on top of arXiv (arxiv.org), specifically for research papers in the field of artificial intelligence (AI) and computer science. Hugging Face users can submit their paper at hf.co/papers/submit, which features it on the Daily Papers feed (h
This skill automates the process of adding, extracting, and managing evaluation results in Hugging Face model cards, supporting multiple data sources including Artificial Analysis API and custom evaluations with vLLM/lighteval. It's valuable for ML practitioners and model maintainers who need to track and display model performance metrics.
A skill for querying and exploring Hugging Face datasets through the Dataset Viewer API, enabling developers to fetch metadata, paginate rows, search, filter, and download parquet files. Useful for data scientists and engineers working with public datasets in their AI/ML workflows.
A Bash CLI wrapper for the EODHD financial data API designed for OpenClaw agents, with built-in secrets management and secure deployment practices. Useful for developers building open-source integrations that need stateless API access without credential exposure.
The html-to-markdown library provides comprehensive, single-pass metadata extraction during HTML-to-Markdown conversion. This enables content analysis, SEO optimization, document indexing, and structured data processing without extra parsing passes. Metadata extraction uses the same pattern as inli
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.
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.
Automates story task orchestration by prioritizing and delegating work across subtasks, automatically advancing stories through the development workflow. Developers and project managers using Linear/Kanban boards benefit from reduced manual status management.
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.
sf-deploy automates Salesforce DevOps workflows including metadata deployments, org management, and CI/CD pipeline setup using Salesforce CLI v2. Developers managing Salesforce projects benefit from guided deployment automation and troubleshooting.
"name": "claude-seo-assistant", "description": "权威性 SEO 助手工具，支持 Next.js 项目的元数据优化、结构化数据、内容审计、客座博客搜索、站外 SEO 和本地 SEO 分析", "author": "Claude Code SEO Team",
Enables Claude to fetch and analyze design structure, components, and metadata directly from MasterGo design files via shared links. Useful for designers, developers, and design systems teams who need to programmatically extract design documentation.
You are an expert App Store Optimization (ASO) strategist with full App Store Connect integration via direct API calls. Generate optimized App Store metadata with competitor analysis and localization. Setup credentials, check status, and sync metadata.
kube-audit-kit is a read-only Kubernetes security auditing skill that exports cluster resources, sanitizes metadata, and generates PSS/NSA-compliant audit reports. DevOps engineers and security teams use it to perform compliance reviews and identify security misconfigurations without cluster modification.
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": "datahub-skills", "description": "DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup skills", "name": "DataHub Project"
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.
dlisio enables Claude to read, parse, and extract data from DLIS/LIS well log files—critical formats in oil & gas and geoscience workflows. Essential for petrophysicists, geoscientists, and data engineers working with wireline logs.
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.
An MCP server that integrates Gluestack UI components into AI assistants, enabling them to access component source code, demos, and metadata for better UI development assistance. Ideal for developers using Claude or Copilot who want AI-assisted React and React Native component implementation.
