ucsc-genome-browser-querier

UCSC Genome Browser query skill for genome annotation retrieval and track data access

509 stars

Best use case

ucsc-genome-browser-querier is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

UCSC Genome Browser query skill for genome annotation retrieval and track data access

Teams using ucsc-genome-browser-querier should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ucsc-genome-browser-querier/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/bioinformatics/skills/ucsc-genome-browser-querier/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/ucsc-genome-browser-querier/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How ucsc-genome-browser-querier Compares

Feature / Agent	ucsc-genome-browser-querier	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

UCSC Genome Browser query skill for genome annotation retrieval and track data access

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# UCSC Genome Browser Querier Skill

## Purpose
Provide UCSC Genome Browser queries for genome annotation retrieval and track data access.

## Capabilities
- Track data retrieval
- Custom track upload
- Genome annotation queries
- Conservation score extraction
- Table browser queries
- bigWig/bigBed handling

## Usage Guidelines
- Query relevant annotation tracks
- Upload custom data for visualization
- Extract conservation scores for analysis
- Use Table Browser for data extraction
- Handle bigWig/bigBed formats efficiently
- Document genome assembly versions

## Dependencies
- UCSC API
- kent utilities
- pyBigWig

## Process Integration
- Whole Genome Sequencing Pipeline (wgs-analysis-pipeline)
- RNA-seq Differential Expression Analysis (rnaseq-differential-expression)

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