Topic: claude-code
35,830 skills in this topic.
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metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
Microck/ordinary-claude-skills 152
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matplotlib
Foundational plotting library. Create line plots, scatter, bar, histograms, heatmaps, 3D, subplots, export PNG/PDF/SVG, for scientific visualization and publication figures.
Microck/ordinary-claude-skills 152
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matchms
Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing.
Microck/ordinary-claude-skills 152
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exploratory-data-analysis
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
Microck/ordinary-claude-skills 152
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literature-review
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
Microck/ordinary-claude-skills 152
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every-style-editor
This skill should be used when reviewing or editing copy to ensure adherence to Every's style guide. It provides a systematic line-by-line review process for grammar, punctuation, mechanics, and style guide compliance.
Microck/ordinary-claude-skills 152
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lamindb
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Microck/ordinary-claude-skills 152
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pyhealth
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Microck/ordinary-claude-skills 152
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nondominium-holochain-dna-dev
Specialized skill for nondominium Holochain DNA development, focusing on zome creation, entry patterns, integrity/coordinator architecture, ValueFlows compliance, and WASM optimization. Use when creating new zomes, implementing entry types, or modifying Holochain DNA code.
Microck/ordinary-claude-skills 152
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metabolomics-workbench-database
Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.
Microck/ordinary-claude-skills 152
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astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
Microck/ordinary-claude-skills 152
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skill-navigator
The 100th skill! Your intelligent guide to all 99 other skills. Recommends the perfect skill for any task, creates skill combinations, and helps you discover capabilities you didn't know you had.
Microck/ordinary-claude-skills 152
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AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Microck/ordinary-claude-skills 152
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run-tests
Validate code changes by intelligently selecting and running the appropriate test suites. Use this when editing code to verify changes work correctly, run tests, validate functionality, or check for regressions. Automatically discovers affected test suites, selects the minimal set of venvs needed for validation, and handles test execution with Docker services as needed.
Microck/ordinary-claude-skills 152
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fluidsim
Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.
Microck/ordinary-claude-skills 152
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python-full-deps
Resolve the full install-time dependency tree for a Python package. Use when the user needs all transitive dependencies, full dependency list, or install requirements resolved for a specific Python version with environment markers.
opendatahub-io/ai-helpers 21
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oci-cve-checker
Compare CVE vulnerabilities between two OCI container images and generate reports showing fixed and new CVEs.
opendatahub-io/ai-helpers 21
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jira-upload-chat-log
Export and upload the current chat conversation as a markdown file attachment to a JIRA ticket for later review and documentation.
opendatahub-io/ai-helpers 21
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jira-aipcc-create
Create Jira issues in the AIPCC project. Infers summary, description, type, and component from conversation context, confirms with the user before creating. Use when the user wants to file a new AIPCC Jira issue.
opendatahub-io/ai-helpers 21
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jira-activity
Summarize Jira ticket activity, including child tickets, to detect stale tickets in the backlog. Use when user asks to review one or more Jira tickets to determine if they are being worked on.
opendatahub-io/ai-helpers 21
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gitlab-pipeline-debugger
Debug and monitor GitLab CI/CD pipelines for merge requests. Check pipeline status, view job logs, and troubleshoot CI failures. Use this when the user needs to investigate GitLab CI pipeline issues, check job statuses, or view specific job logs.
opendatahub-io/ai-helpers 21
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git-shallow-clone
Perform a shallow clone of a Git repository to a temporary location.
opendatahub-io/ai-helpers 21
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gist-upload
Upload a summary or plan from the current conversation as a GitHub Gist using the `gh` CLI.
opendatahub-io/ai-helpers 21
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coderabbit-review
Evaluate CodeRabbit PR comments and fix or reply
opendatahub-io/ai-helpers 21