Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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project-sharing
Prepare organized packages of project files for sharing at different levels - from summary PDFs to fully reproducible archives. Creates copies with cleaned notebooks, documentation, and appropriate file selection. After creating sharing package, all work continues in the main project directory.
Delphine-L/claude_global 10
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hackmd
HackMD collaborative markdown - slide presentations, embedded SVG diagrams, and real-time editing best practices
Delphine-L/claude_global 10
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claude-collaboration
Best practices for using Claude Code in team environments. Covers skill management, knowledge capture, version control, and collaborative workflows.
Delphine-L/claude_global 10
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systematic-debugging
Structured 4-phase debugging methodology. Use when encountering any bug, test failure, unexpected behavior, or pipeline error — before proposing fixes. Enforces root cause investigation first.
Delphine-L/claude_global 10
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token-efficiency
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 for learning, Sonnet for development/debugging). Prefers bash commands over reading files.
Delphine-L/claude_global 10
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documentation
Best practices for session documentation - incremental summaries, fix reports, and audit trails
Delphine-L/claude_global 10
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verification-before-completion
Enforces evidence-based completion claims. Use before claiming work is done, tests pass, or bugs are fixed. Requires running verification commands and confirming output before any success claims.
Delphine-L/claude_global 10
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claude-skill-management
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.
Delphine-L/claude_global 10
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galaxy-tool-wrapping
Expert in Galaxy tool wrapper development, XML schemas, Planemo testing, and best practices for creating Galaxy tools
Delphine-L/claude_global 10
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galaxy-training-material
Expert in Galaxy Training Network (GTN) tutorial development. GTN markdown syntax, special boxes, tool references, snippets, YAML front matter, and best practices for writing and updating training materials in the galaxyproject/training-material repository.
Delphine-L/claude_global 10
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galaxy-workflow-development
Expert in Galaxy workflow development, testing, and IWC best practices. Create, validate, and optimize .ga workflows following Intergalactic Workflow Commission standards.
Delphine-L/claude_global 10
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galaxy-automation
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 automation project.
Delphine-L/claude_global 10
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genomeark-aws
Access and navigate GenomeArk AWS S3 bucket - VGP assemblies, QC data, and species directory structure
Delphine-L/claude_global 10
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vgp-pipeline
VGP assembly pipeline - Galaxy workflow selection, execution patterns, QC checkpoints, and batch orchestration
Delphine-L/claude_global 10
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gget
Fast CLI/Python queries to 20+ bioinformatics databases. Gene info, BLAST, AlphaFold structures, enrichment analysis, single-cell data, disease associations. Best for interactive exploration and quick lookups. For batch/multi-database Python workflows use bioservices.
Delphine-L/claude_global 10
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bioservices
Unified Python interface to 40+ bioinformatics services (UniProt, KEGG, ChEMBL, Reactome, PSICQUIC). Best for cross-database analysis, ID mapping, and multi-service workflows. For quick single-database lookups use gget.
Delphine-L/claude_global 10
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gnomad-database
Query gnomAD (Genome Aggregation Database) for population allele frequencies, variant constraint scores (pLI, LOEUF), and loss-of-function intolerance via GraphQL API. Essential for variant pathogenicity interpretation, rare disease genetics, and identifying loss-of-function intolerant genes.
Delphine-L/claude_global 10
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managing-environments
Best practices for managing development environments including Python venv and conda. Always check environment status before installations and confirm with user before proceeding.
Delphine-L/claude_global 10
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obsidian
Integration with Obsidian vault for managing notes, tasks, and knowledge when working with Claude. Supports adding notes, creating tasks, and organizing project documentation. Updated with 2025-2026 best practices including MOCs, properties, practical organization patterns, and Obsidian CLI (1.12+).
Delphine-L/claude_global 10
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folder-organization
Best practices for organizing project folders, file naming conventions, and directory structure standards for research and development projects
Delphine-L/claude_global 10
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data-backup
Smart automated backup system with skill integration. Detects project type (notebooks, data files, HackMD docs) and applies appropriate cleanup before backup. Rolling daily backups, compressed milestones, and CHANGELOG tracking.
Delphine-L/claude_global 10
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documentation-organization
Organize research project documentation - structure working files, prepare sharing packages, maintain clean project layout
Delphine-L/claude_global 10
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data-analysis-patterns
Best practices for data aggregation, recalculation, and category management in scientific analyses. Covers when to recalculate vs reuse aggregated data, handling category changes, and ensuring analytical accuracy.
Delphine-L/claude_global 10
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data-visualization
Best practices for creating clear, accurate scientific visualizations with matplotlib, seaborn, and other Python plotting libraries. Covers common pitfalls, optimization techniques, publication-quality figure generation, and Claude API image size constraints.
Delphine-L/claude_global 10