Topic: ai-agents
18,135 skills in this topic.
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algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
x-cmd/skill 19
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latchbio-integration
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
x-cmd/skill 19
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openalex-database
Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.
x-cmd/skill 19
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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.
x-cmd/skill 19
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cellxgene-census
Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.
x-cmd/skill 19
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pymoo
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
x-cmd/skill 19
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scikit-learn
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
x-cmd/skill 19
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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.
x-cmd/skill 19
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anndata
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
x-cmd/skill 19
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clinvar-database
Query NCBI ClinVar for variant clinical significance. Search by gene/position, interpret pathogenicity classifications, access via E-utilities API or FTP, annotate VCFs, for genomic medicine.
x-cmd/skill 19
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zig
Enhanced Zig language module for package management, project building, and ZON format conversion. Core Scenario: When the user needs to manage Zig projects, convert ZON to JSON/YAML, or initialize C compilation with Zig.
x-cmd/skill 19
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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.
x-cmd/skill 19
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web-artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
x-cmd/skill 19
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dask
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
x-cmd/skill 19
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whisper
Local AI speech recognition based on whisper.cpp, supporting transcription and subtitle generation. Core Scenario: When the user needs to transcribe audio to text, generate SRT subtitles, or merge subtitles into video.
x-cmd/skill 19
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latex-posters
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.
x-cmd/skill 19
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chembl-database
Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.
x-cmd/skill 19
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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.
x-cmd/skill 19
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deeptools
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
x-cmd/skill 19
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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.
x-cmd/skill 19
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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.
x-cmd/skill 19
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uname
Enhanced system information display with structured key-value output. Core Scenario: When the user needs a quick, readable summary of kernel version, architecture, and OS name.
x-cmd/skill 19
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research-grants
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
x-cmd/skill 19
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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.
x-cmd/skill 19