qiime2-microbiome-analyzer
QIIME2 microbiome analysis skill for 16S rRNA profiling and diversity analysis
Profile →npx skills add a5c-ai/babysitter --skill qiime2-microbiome-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# QIIME2 Microbiome Analyzer Skill ## Purpose Enable QIIME2 microbiome analysis for 16S rRNA profiling and diversity analysis. ## Capabilities - Demultiplexing and denoising (DADA2) - Taxonomic classification - Alpha diversity metrics - Beta diversity analysis - Differential abundance testing - Phylogenetic analysis ## Usage Guidelines - Use DADA2 for denoising amplicon data - Select appropriate taxonomic classifier - Calculate diversity metrics with rarefaction - Visualize beta diversity with ordination - Test differential abundance appropriately - Document pipeline parameters ## Dependencies - QIIME2 - DADA2 - phyloseq ## Process Integration - 16S rRNA Microbiome Analysis (16s-microbiome-analysis)
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the qiime2-microbiome-analyzer skill do?
QIIME2 microbiome analysis skill for 16S rRNA profiling and diversity analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill qiime2-microbiome-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.