Skill UI

Scans specified files or folders to infer existing syntax, writes a project coding standards or contribution doc using configurable templates, and optionally reports or fixes inconsistencies before saving to the first available standard filename.

This skill helps users maintain a structured and comprehensive record of their daily activities, progress, key decisions, and learning outcomes. It creates a dedicated file for each day using the ISO date format (yyyy-mm-dd), ensuring that all entries are organized chronologically. By adhering to concise, third-person reporting, it helps users build a valuable, reviewable knowledge base of their journey and accomplishments.

This skill guides the systematic process of identifying and verifying candidate football entities (players or clubs). Use it when initial search results suggest a lead, or when the question provides enough detailed constraints (e.g., nationality, era, league) to hypothesize a candidate. The technique involves constructing targeted name-based searches and cross-checking every constraint (birth year, career timeline, etc.) against the found profile to ensure accuracy.

A comprehensive guide to setting up and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines within KubeSphere. This tool integrates with Jenkins, supports both graphical editing and Jenkinsfile-based workflows, and enables automated deployments across multi-cluster environments using ArgoCD for GitOps management. Ideal for managing the full software delivery lifecycle.

WizTelemetry Logging is a core extension component within the KubeSphere Observability Platform, designed for comprehensive log collection, processing, and storage. It supports advanced log collection architectures, including collecting container stdout/stderr logs (via vector-logging) and collecting logs directly from the container filesystem (via logsidecar-injector). Use this guide to understand its configuration, dependencies, and how to query logs using the dedicated API.

Anndata is a Python package for handling annotated data matrices, storing experimental measurements alongside observation and variable metadata. It supports single-cell genomics analysis, managing h5ad and Zarr files efficiently. Users can read, write, concatenate, and subset data with sparse matrix support. It integrates with the scverse ecosystem including Scanpy and scvi-tools. Ideal for biological data workflows requiring efficient storage and manipulation.

Astropy is a core Python library for astronomy and astrophysics workflows. It provides essential functionality for astronomical research and data analysis, including coordinate transformations, unit and quantity calculations, FITS file operations, cosmological calculations, precise time handling, tabular data manipulation, and astronomical image processing. Use it for implementing or debugging astronomical data analysis code.

Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, BLAST automation, structure analysis, and programmatic NCBI/PubMed access via Bio.Entrez.

This skill prepares and validates research-only clinical decision-support artifacts, including evidence profiles, cohort tables, and survival analysis plans. It supports aggregate or synthetic research documentation and traceability. It excludes patient care and live clinical operations, focusing on governance, privacy, and statistical evaluation for qualified human review.

A comprehensive Python command-line toolkit for processing and visualizing high-throughput sequencing data including ChIP-seq, RNA-seq, and ATAC-seq. Performs quality control, normalization, sample comparison, and generates publication-quality genomic visualizations with bigWig conversion and heatmap profiles.

Applies the DHDNA framework to analyze reasoning and writing patterns in text. It provides a rubric for cognitive-style reflection and thinking-pattern profiles without validating psychological traits. Useful for evaluating textual evidence across twelve dimensions like analytical depth and ethical reasoning.

Performs bounded local exploratory analysis of supported scientific files, including CSV/TSV/JSON profiles, optional NumPy, HDF5, FASTA/FASTQ and image metadata inspection, audits, and EDA report scaffolds.