القائمة
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.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Use when an agent needs to call the VirusPrimerPro Agent API instead of the GUI, or prepare viral genome inputs for it: request/use API keys, download viral genomes from NCBI, install/run MAFFT, check and repair abnormal sequences, prepare phylogenetic trees/annotations, upload aligned FASTA/tree/GenBank files, poll runs, and fetch artifacts.
Use when an agent needs a stricter or publication-grade phylogeny workflow for PhyloGuide, including tree/MSA validation, FastTree/IQ-TREE planning, and external-tree checks.
Use when an agent must define viral genotype, subtype, clade, lineage, target/background groups, or PhyloGuide groups from cited literature before primer or tNGS panel design.
Use when an agent must split tNGS or multiplex primer pairs into pools while minimizing primer-primer interaction risk and reporting pool overflows.
Use when an agent must evaluate primer candidates for wet-lab constraints such as length, GC, Tm, degeneracy, self-complementarity, pair complementarity, and amplicon size.
Use when an agent must select, filter, deduplicate, and document NCBI/GenBank/reference viral genomes before alignment, primer design, PhyloGuide, or tNGS panel design.
| 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. |
Use this skill when the deliverable is a panel rather than one diagnostic amplicon. Inputs should already be curated, aligned, and primer-QC checked.
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
coverage_fraction and every gap in panel_plan.json.