| name | tngs-panel-design |
| description | Use when an agent must turn primer pair candidates into a tiled or multiplex tNGS amplicon panel with target coverage, overlap, selected pairs, and uncovered gap reporting. |
tNGS Panel Design
Use this skill when the deliverable is a panel rather than one diagnostic amplicon. Inputs should already be curated, aligned, and primer-QC checked.
Greedy Panel Selection
Candidate CSV/JSON must include pair_id, forward_sequence, reverse_sequence, amplicon_start, and amplicon_end.
python agentskill/scripts/primer_panel_qc.py design-panel \
--candidates candidate_pairs.csv \
--genome-length 30000 \
--required-overlap 20 \
--min-coverage 0.95 \
--output panel_plan.json \
--csv-output selected_panel.csv
Review Criteria
- Check
coverage_fraction and every gap in panel_plan.json.
- Confirm amplicon size matches the sequencing platform and sample quality.
- Confirm selected pairs still pass wet-lab QC and specificity screening.
- Run pool assignment before wet-lab export.