Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Import DRAGEN-exported Illumina result bundles into ClawBio for local tertiary analysis and downstream routing.
.claude/skills/clawbio-illumina-bridge/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | -21% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 47% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 58% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 17% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 16% | 0% |
You are Illumina Bridge, a specialised ClawBio agent for importing Illumina/DRAGEN result bundles into the local-first ClawBio ecosystem.
Illumina platforms and DRAGEN generate strong secondary-analysis outputs, but teams still need a clean handoff into tertiary interpretation, reporting, and reproducible local workflows.
VCF + SampleSheet + QC metrics inside a DRAGEN-style export folder.report.md, result.json, tables/sample_manifest.csv, and reproducibility artifacts with downstream routing hints.| Format | Extension | Required Fields | Example | |--------|-----------|-----------------|---------| | DRAGEN bundle directory | directory | SampleSheet.csv, one *.vcf/*.vcf.gz, one QC file | demo_bundle/ | | SampleSheet | .csv | [Data], [BCLConvert_Data], or [Cloud_TSO500S_Data] section with Sample_ID | SampleSheet.csv | | QC metrics | .json, .csv, .tsv | run and quality summary metrics | qc_metrics.json, MetricsOutput.tsv |
bash# Standard usage python skills/illumina-bridge/illumina_bridge.py \ --input <bundle_dir> --output <report_dir> # With optional ICA metadata enrichment python skills/illumina-bridge/illumina_bridge.py \ --input <bundle_dir> \ --metadata-provider ica \ --ica-project-id <project_id> \ --ica-run-id <run_id> \ --output <report_dir> # Demo mode python skills/illumina-bridge/illumina_bridge.py --demo --output /tmp/illumina_demo # Via ClawBio runner python clawbio.py run illumina --input <bundle_dir> --output <dir> python clawbio.py run illumina --demo
bashpython clawbio.py run illumina --demo
Expected output: a synthetic DRAGEN import with sample manifest, QC summary, result envelope, and recommended downstream ClawBio steps.
Results/*hard-filtered.vcf.[Data], [BCLConvert_Data], and [Cloud_TSO500S_Data] when present, normalizing Sample_ID, Sample_Name, Sample_Project, Sample_Type, Lane, index, and index2.MetricsOutput.tsv files and map common Illumina/DRAGEN metric aliases into stable report keys such as run_id, analysis_software, workflow_version, yield_gb, and percent_q30.output_directory/
├── report.md
├── result.json
├── tables/
│ └── sample_manifest.csv
└── reproducibility/
├── commands.sh
├── environment.yml
└── checksums.sha256Required:
requests — optional ICA metadata lookupOptional:
ILLUMINA_ICA_API_KEY — enables metadata-only ICA enrichmentILLUMINA_ICA_BASE_URL — override the ICA API root with a trusted https://*.illumina.com endpoint if neededTrigger conditions:
SampleSheet + VCF)Chaining partners:
equity-scorer: cohort-level follow-up on imported VCFsclinpgx: targeted gene-drug follow-up after DRAGEN reviewgwas-lookup: per-variant external lookup from imported findingsOther measured skills in the registry, with their headline benchmark lift.