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Delphine-L AI Skills

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Browse published AI skills maintained by Delphine-L. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

16

Repository stars across indexed skills

47

Repository forks

16

Average repository stars per indexed skill

3

Repository stars may repeat across skills from the same repository.

16 skills

Browse skills

GitHub

token-efficiency

Delphine-L

Token optimization best practices for cost-effective Claude Code usage. Automatically applies efficient file reading, command execution, and output handling strategies. Includes model selection guidance (Opus f...

GitHub

claude-skill-management

Delphine-L

Expert guide for managing Claude Code global skills and commands. Use when creating new skills, symlinking to projects, updating existing skills, or organizing the centralized skill repository.

GitHub

obsidian

Delphine-L

Integration with Obsidian vault for managing notes, tasks, and knowledge when working with Claude. Supports adding notes, creating tasks, and organizing project documentation.

GitHub

galaxy-automation

Delphine-L

BioBlend and Planemo expertise for Galaxy workflow automation. Galaxy API usage, workflow invocation, status checking, error handling, batch processing, and dataset management. Essential for any Galaxy automati...

GitHub

jupyter-notebook-analysis

Delphine-L

Best practices for creating comprehensive Jupyter notebook data analyses with statistical rigor, outlier handling, and publication-quality visualizations

GitHub

claude-collaboration

Delphine-L

Best practices for using Claude Code in team environments. Covers skill management, knowledge capture, version control, and collaborative workflows.

GitHub

folder-organization

Delphine-L

Best practices for organizing project folders, file naming conventions, and directory structure standards for research and development projects

GitHub

galaxy-automation

Delphine-L

BioBlend and Planemo expertise for Galaxy workflow automation. Galaxy API usage, workflow invocation, status checking, error handling, batch processing, and dataset management. Essential for any Galaxy automati...

GitHub

galaxy-tool-wrapping

Delphine-L

Expert in Galaxy tool wrapper development, XML schemas, Planemo testing, and best practices for creating Galaxy tools

GitHub

token-efficiency

Delphine-L

Token optimization best practices for cost-effective Claude Code usage. Automatically applies efficient file reading, command execution, and output handling strategies. Includes model selection guidance (Opus f...

GitHub

jupyter-notebook-analysis

Delphine-L

Patterns for analyzing, improving, and documenting Jupyter notebooks for scientific data analysis. Includes data filtering, visualization optimization, and resource analysis techniques.

GitHub

claude-skill-management

Delphine-L

Expert guide for managing Claude Code global skills and commands. Use when creating new skills, symlinking to projects, updating existing skills, or organizing the centralized skill repository.

GitHub

conda-recipe

Delphine-L

Expert in building and testing conda/bioconda recipes, including recipe creation, linting, dependency management, and debugging common build errors

GitHub

claude-collaboration

Delphine-L

Best practices for using Claude Code in team environments. Covers skill management, knowledge capture, version control, and collaborative workflows.

GitHub

bioinformatics-fundamentals

Delphine-L

Core bioinformatics concepts including SAM/BAM format, sequencing technologies (Hi-C, HiFi, Illumina), quality metrics, and common data processing patterns. Essential for debugging alignment, filtering, and pai...

GitHub

galaxy-workflow-development

Delphine-L

Expert in Galaxy workflow development, testing, and IWC best practices. Create, validate, and optimize .ga workflows following Intergalactic Workflow Commission standards.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.