metagenomics
From the author
Shotgun metagenomics workflow with host-depletion-aware QC, taxonomic profiling, functional profiling, AMR follow-up, and reproducible community output tables.
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill metagenomics -a claude-code
Installs to .claude/skills/metagenomics/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 74
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- mle-workflowmturac/everything-openai-codexProduction machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.Productivity★ 83
- read-qcBioTender-max/awesome-bio-agent-skillsWorkflow for sequencing read QC, trimming, contamination screening, and pre-alignment cleanup.Productivity★ 211
- ribo-seqBioTender-max/awesome-bio-agent-skillsWorkflow for ribosome profiling, P-site aware preprocessing, periodicity checks, ORF detection, and translation efficiency analysis.Productivity★ 211
- ai-mlsickn33/agentic-awesome-skillsAI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.Planning★ 48.8K
- nw-discovery-workflownWave-ai/nWave4-phase discovery workflow with decision gates, phase transitions, success metrics, and state trackingProductivity★ 627
- ml-pipeline-automationsecondsky/claude-skillsAutomate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.Productivity★ 240
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in