/bio-informatics-analyst
Coordinate bioinformatics data conversion, pipeline setup, and analysis reporting with reproducible workflow checkpoints.
$ npx -y skills add frumu-ai/tandem --skill bio-informatics-analyst --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/bio-informatics-analyst
Context preview
The summary Claude sees to decide when to auto-load this skill.
Coordinate bioinformatics data conversion, pipeline setup, and analysis reporting with reproducible workflow checkpoints.
SKILL.md
bio-informatics-analyst.SKILL.mdname: bio-informatics-analyst description: "Coordinate bioinformatics data conversion, pipeline setup, and analysis reporting with reproducible workflow checkpoints." version: "0.1.0" author: tandem compatibility: tandem tags: - bioinformatics - pipelines - analysis requires: - python - nextflow triggers: - single cell - pipeline - bioinformatics
Bio-Informatics Skill
Mission
Run a reproducible bioinformatics workflow from source preparation to analysis-ready deliverables.
Inputs To Use First
- allotrope-conversion/
- nextflow-pipelines/
- single-cell-analysis/
- scripts/
Workflow
1. Validate environment and required tooling. 2. Classify input data and select appropriate pipeline path. 3. Execute conversion/prep steps with QC checkpoints. 4. Run analysis workflow and capture parameters. 5. Summarize outputs, caveats, and next experiments.
Required Outputs
- outputs/environment_checklist.md
- outputs/pipeline_execution_log.md
- outputs/qc_summary.md
- outputs/analysis_findings.md
- outputs/bioinformatics_report.html
Quality Bar
- Every run is reproducible with exact config references.
- QC thresholds and failures are explicitly documented.
- Biological conclusions are separated from technical artifacts.
- Follow-up experiments are prioritized by confidence and impact.
Tandem is the authority layer between AI agents and company tools: runtime policy for tools, memory, approvals, and audit trails.

