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Topic: codex

8,457 skills in this topic.

perplexity-search Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
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geopandas Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.
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gg Search the web using Google Gemini AI, combining search results with AI-generated answers. Core Scenario: When the user needs real-time information from the web with AI-summarized responses and source citations.
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gh Enhanced GitHub CLI for managing repositories, issues, PRs, actions, and GitHub Models. Core Scenario: When the user needs to automate GitHub workflows, manage secrets, or use GitHub's AI models via CLI.
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gitconfig Manage Git configurations using YAML files for structured and portable setup. Core Scenario: When the user needs to apply complex Git configurations or migrate settings via YAML.
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gget Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.
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gtars High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
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gwas-database Query NHGRI-EBI GWAS Catalog for SNP-trait associations. Search variants by rs ID, disease/trait, gene, retrieve p-values and summary statistics, for genetic epidemiology and polygenic risk scores.
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grok Integrate xAI Grok for intelligent chat and real-time information processing. Core Scenario: When the user wants to use Grok models for advanced reasoning or real-time query answers via CLI.
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hi Display detailed HTTP information and network metadata. Core Scenario: When the user needs a quick summary of their current HTTP environment or request headers.
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hostname Manage the system's hostname, including viewing current name and setting new names. Core Scenario: When the user needs to identify the device name or change the system hostname.
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id Enhanced user identity information with colorful and structured output. Core Scenario: When the user needs to check UID, GID, and group memberships in a highly readable format.
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ip Network diagnostics and IP geolocation query. Core Scenario: When AI needs to query local network configuration or geographic info of remote server IPs.
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jq Lightweight and flexible JSON processor. Core Scenario: When the AI needs to filter, transform, format, or extract JSON data in the terminal. x-cmd version provides zero-dependency auto-installation.
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kimi Enhancement module for kimi-cli, integrating AI programming capabilities into the terminal workflow. Core Scenario: When the user wants to launch the Kimi Code agent for coding assistance, upgrades, or session management.
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histolab Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
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hmdb-database Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.
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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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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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paper-2-web This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use this skill for tasks involving paper dissemination, conference preparation, creating explorable academic homepages, generating video abstracts, or producing print-ready posters from LaTeX or PDF sources.
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hypothesis-generation Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
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raku Enhanced Raku language module for executing Raku (formerly Perl 6) scripts. Core Scenario: When the user needs to run Raku scripts or manage the Raku environment.
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pwsh PowerShell enhancement module providing interactive REPL and system management tools. Core Scenario: When the user needs to manage system resources (disk, IP, processes) or use PowerShell via x-cmd.
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ps Display running process information with support for interactive UI and structured exports (CSV, JSON, TSV). Core Scenario: When the user needs to analyze system processes or export process data for external automation.
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