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Topic: codex

8,457 skills in this topic.

mistral Integrate Mistral AI for efficient language modeling and text generation tasks. Core Scenario: When the user wants to use Mistral models for chat or translation via CLI.
x-cmd/skill 19
moonshot Integrate Moonshot AI (Kimi) for chat and file-based context processing. Core Scenario: When the user wants to use Moonshot's large context capabilities for chat or file translation.
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mosh Enhanced interface for Mosh (Mobile Shell), a robust SSH replacement for unstable networks. Core Scenario: When the user needs a persistent, roaming remote terminal connection over UDP.
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nets Enhanced netstat interface for viewing internet connections, routing tables, and network statistics. Core Scenario: When the user needs an interactive way to audit network sockets (TCP/UDP) or analyze network tables.
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npx Enhanced interface for npx, used to execute Node.js packages without local installation. Core Scenario: When the user needs to run a one-off Node.js tool or test a package.
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nu Enhanced interface for Nushell, enabling x-cmd integration, documentation search, and AI-powered command generation. Core Scenario: When the user needs to set up x-cmd in Nushell or search Nushell documentation via CLI.
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kegg-database Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.
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x-knowledge This skill provides access to various knowledge search tools through x-cmd CLI, including Hacker News, Wikipedia, DuckDuckGo search, RFC documents, Project Gutenberg books, and Stack Exchange. This skill should be used when users need to search for technical information, browse online knowledge bases, or access documentation from command line interfaces.
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qiskit IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
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tping Ping TCP ports using curl to test service availability and network connectivity. Core Scenario: When the user needs to check if a specific TCP port (e.g., 80, 443) is open and responsive.
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telegram Send messages and files to Telegram groups or channels using bot tokens. Core Scenario: When the user needs to automate alerts or share files with Telegram chats via bot.
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tee Redirect output to files and stdout while preserving the original command's exit code. Core Scenario: When the user needs to log command output to a file without losing the ability to check the success of the command.
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stat Display detailed file or file system status with support for structured data exports (JSON, CSV). Core Scenario: When the user needs precise metadata about files or file systems for diagnostics or automation.
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speckit Enhancement module for Spec Kit, helping users set up and use the Specify CLI for spec-driven development. Core Scenario: When the user wants to initialize a Specify project to formalize the "Requirement → Plan → Task → Implementation" flow.
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biorxiv-database Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
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benchling-integration Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
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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.
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arboreto Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
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alphafold-database Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
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aeon This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
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citation-management Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.
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clinical-decision-support Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
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clinical-reports Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.
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deepchem Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
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