Skills Marketplace
Browse and use BioContext7 skills for common bioinformatics workflows
Overview
BioContext7 skills are pre-built workflow templates that encode best practices for common bioinformatics tasks. Each skill combines tool discovery, pipeline generation, and validation into a single command.
Auto-Generated Skills
BioContext7 auto-generates SKILL.md files for the top 500 tools ranked by bc7score. These
skills are generated from the unified registry and include tool descriptions, EDAM annotations,
install commands, and usage patterns. The find-skills MCP tool searches across all 47K+ tools
using semantic matching to surface the most relevant skills for any bioinformatics task.
Use the find-skills MCP tool to discover skills programmatically:
Available Skills
RNA-seq Analysis
Generates a complete RNA-seq pipeline:
- Quality control (FastQC, MultiQC)
- Adapter trimming (Trim Galore)
- Alignment (STAR)
- Quantification (featureCounts)
- Differential expression (DESeq2)
Variant Calling
Generates a variant calling pipeline:
- BAM preprocessing (Picard MarkDuplicates)
- Variant calling (GATK HaplotypeCaller)
- Variant filtering (GATK VQSR)
- Annotation (SnpEff)
ChIP-seq Peak Calling
Generates a ChIP-seq analysis pipeline:
- Read alignment (Bowtie2)
- Peak calling (MACS2)
- Motif analysis (HOMER)
- Quality metrics (deepTools)
Metabolomics
Generates a metabolomics data processing pipeline:
- Peak detection (XCMS)
- Alignment and grouping
- Metabolite identification (HMDB, MassBank)
- Statistical analysis
List Available Skills
Skill Parameters
Each skill accepts common parameters:
| Parameter | Description |
|---|---|
--input | Input data directory |
--target | Pipeline target (nextflow, snakemake, wdl) |
--output | Output directory (default: ./output/) |
--config | Custom configuration file |
--dry-run | Preview without generating files |
Creating Custom Skills
Create a skill definition in YAML:
Register the skill: