Agent skill

Bio Genome Assembly Hifi Assembly

by GPTomics in GPTomics/bioSkills

Assembles haplotype-resolved diploid and telomere-to-telomere (T2T) genomes from PacBio HiFi reads with hifiasm (HiFi-only, Hi-C, or trio phasing) and verkko (HiFi + ultralong ONT for T2T)…

MITAuto-check passedResearch & Science

Install Bio Genome Assembly Hifi Assembly

skills CLI
$ npx skills add GPTomics/bioSkills --skill bio-genome-assembly-hifi-assembly -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install GPTomics/bioSkills bio-genome-assembly-hifi-assembly --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/GPTomics/bioSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/genome-assembly/hifi-assembly .claude/skills/bio-genome-assembly-hifi-assembly && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
bio-genome-assembly-hifi-assembly
GitHub stars
1.2k
Used in
1 other repo
Token cost
~4.6k tokens
SKILL.md length
2,052 words
Files
3
Skills in repo
559
Repo updated
First seen
Licence
MIT

At a glance

Assembles haplotype-resolved diploid and telomere-to-telomere (T2T) genomes from PacBio HiFi reads with hifiasm (HiFi-only, Hi-C, or trio phasing) and verkko (HiFi + ultralong ONT for T2T)…

  • Assembling a diploid eukaryote from HiFi
  • SKILL.md covers Version Compatibility, The Single Most Important…, Tool Taxonomy and Decision Tree by Scenario, plus 9 more sections
  • Runs Shell scripts from its folder
  • Phasing haplotypes with parents (trio)

What it does

Bio Genome Assembly Hifi Assembly is an agent skill from GPTomics/bioSkills. Assembles haplotype-resolved diploid and telomere-to-telomere (T2T) genomes from PacBio HiFi reads with hifiasm (HiFi-only, Hi-C, or trio phasing) and verkko (HiFi + ultralong ONT for T2T), extracting contigs from GFA and routing phasing QC to k-mer/trio metrics. Covers why a primary assembly is a haplotype mosaic that exists in no cell, partial-vs-full phasing (the .bp. vs .dip. filename convention), the purge-default trap on inbred samples, the --hom-cov coverage-estimate alarm, and verkko-vs-hifiasm for T2T…

Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `examples/hifi_assembly_workflow.sh` and `usage-guide.md`).

It sits in Research & Science, covering Bioinformatics. The repository describes itself as: a set of SKILLS.md for doing bioinformatics with agents like claude code. The licence is MIT.

When your agent uses it

  • Assembling a diploid eukaryote from HiFi
  • Phasing haplotypes with parents (trio)
  • Deciding whether to chase T2T
  • Diagnosing switch errors invisible to N50/BUSCO/QV

Example prompts

  • “Use the bio-genome-assembly-hifi-assembly skill to assemble haplotype-resolved diploid and telomere-to-telomere (T2T) genomes from PacBio HiFi reads…”
  • “/bio-genome-assembly-hifi-assembly”

Requirements

  • A Bash shell

What it can do on your machine

Read from SKILL.md and the folder at commit d91ed3d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Shell), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bio Genome Assembly Hifi Assembly loads about 4.6k tokens when it runs. Until then it costs about 184 tokens; SKILL.md has 2,052 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~184
When it runs · the whole SKILL.md, loaded when a task matches
~4.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from GPTomics/bioSkills at commit d91ed3d, republished under its MIT licence (© GPTomics). 2,052 words, ~4,580 tokens.

Download SKILL.mdSave it as .claude/skills/bio-genome-assembly-hifi-assembly/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
bio-genome-assembly-hifi-assembly
description
Assembles haplotype-resolved diploid and telomere-to-telomere (T2T) genomes from PacBio HiFi reads with hifiasm (HiFi-only, Hi-C, or trio phasing) and verkko (HiFi + ultralong ONT for T2T), extracting contigs from GFA and routing phasing QC to k-mer/trio metrics. Covers why a primary assembly is a haplotype mosaic that exists in no cell, partial-vs-full phasing (the .bp. vs .dip. filename convention), the purge-default trap on inbred samples, the --hom-cov coverage-estimate alarm, and verkko-vs-hifiasm for T2T. Use when assembling a diploid eukaryote from HiFi, phasing haplotypes with parents (trio) or Hi-C, deciding whether to chase T2T, or diagnosing switch errors invisible to N50/BUSCO/QV.
tool_type
cli
primary_tool
hifiasm

Version Compatibility

Reference examples tested with: hifiasm 0.25.0+, yak 0.1+, verkko 2.3+, gfatools 0.5+, meryl 1.4+.

Before using code patterns, verify installed versions match. If versions differ:

  • CLI: <tool> --version then <tool> --help to confirm flags

hifiasm output filenames AND the default purge level are version-dependent: confirm the .bp.*/.dip.* prefixes and -l defaults against hifiasm --help and the man page for the installed build before scripting around them. The k-mer-size convention also matters more than the binary version: hifiasm/yak trio uses k=31; verkko/Merqury hap-mers commonly use k=30 - mixing them silently produces garbage hap-mer matching. If a command errors, introspect the installed tool and adapt rather than retrying.

HiFi Assembly

"Assemble a diploid genome from HiFi reads" -> Build two cleanly phased haplotypes (not one mosaic primary) from accurate long reads, choosing the phasing mechanism from the sample type and available data, and validate phasing with k-mer QC the headline metrics cannot see.

  • CLI: hifiasm -o prefix -t 32 reads.hifi.fq.gz (HiFi-only), --h1/--h2 (Hi-C), -1/-2 *.yak (trio); verkko --hifi ... --nano ... (T2T)

The Single Most Important Modern Insight -- A Primary Assembly Is a Mosaic Chimera, Not a Haplotype

A "primary assembly" is not a genome that exists in any cell. At every heterozygous block the assembler picks one allele, and which one it picks switches arbitrarily from block to block - so the primary is a stitched chimera: maternal here, paternal there, matching no gamete, no parent, no individual. It is a fine haploid representation for "roughly where is gene X" and a terrible substrate for anything allele-aware (phased variant calling, allele-specific expression, HLA/KIR typing, compound-heterozygote analysis). HiFi's combination of length AND ~Q30 accuracy made phased diploid assembly routine, so the field's deliverable shifted from one collapsed reference to two phased haplotypes (and onward to the pangenome: each HPRC node is a per-sample phased diploid assembly, Liao 2023 Nature 617:312).

The killer corollary: the thing that is wrong with a mosaic - that it is a haplotype mix - is exactly the thing none of the metrics people check can see. A switch error does not break a contig (N50 unchanged), delete a gene (BUSCO unchanged), or introduce a wrong base (QV unchanged - both alleles are real sequence, just assigned to the wrong haplotype). Switch errors and haplotype mosaicism are structurally invisible to N50, BUSCO, and even base-level QV. Only k-mer/trio QC - Merqury hap-mer blob plots and switch/hamming error against parental k-mers - can see them. "Reported N50 and BUSCO but no switch/hamming or hap-mer plot" means the phasing was never validated. Subtle trap: the HiFi-only .bp.hap1/hap2 are partially phased (locally phased, switch errors between blocks) - "hap1" in a filename does NOT certify global phasing; the phasing data supplied (trio or Hi-C) does.

Tool Taxonomy

ToolCitationRoleWhen
hifiasmCheng 2021 Nat Methodsphased string-graph HiFi assembler; built-in purgingthe default for diploid HiFi; HiFi-only / Hi-C / trio / --ul
hifiasm (Hi-C)Cheng 2022 Nat Biotechnolglobal phasing from proximity-ligation, no parentsdiploid, Hi-C available, parents unavailable (the broad default)
yak(Li, hifiasm suite)parental haplotype-specific k-mer DBs for triofeeds hifiasm -1/-2; trio gold-standard phasing
verkkoRautiainen 2023 Nat BiotechnolHiFi + ultralong-ONT graph assembler (MBG -> GraphAligner -> rukki)T2T-grade; trio or Hi-C phasing; reference-quality
verkko2Antipov 2025 Genome Resadds proximity-ligation phasing into the De Bruijn graphT2T with Hi-C; ~doubled T2T-scaffold yield
HiCanuNurk 2020 Genome ResHiFi Canu fork; segmental dups/satellites/allelic variantslegacy/SD-focused; superseded by hifiasm for routine diploid
meryl/MerquryRhie 2020 Genome Biolhap-mer DBs; k-mer QV, completeness, switch/hamming, blob plotsthe only QC that sees phasing (-> assembly-qc)

Decision Tree by Scenario

ScenarioRecommendedWhy
Sample type/heterozygosity unknownprofile first: k-mer spectrum (GenomeScope) for genome size + heterozygositypurge setting, n-hap, and whether to phase are all downstream of outbred-vs-inbred
Outbred diploid, HiFi only, quick drafthifiasm defaultprimary + partially-phased .bp.hap1/hap2; partial phasing is the cost of no linkage data
Diploid, HiFi + Hi-C, no parentshifiasm --h1/--h2 (Cheng 2022)global phasing from the sample itself; the pragmatic default for the non-human bestiary
Diploid, HiFi + both parentshifiasm trio -1 pat.yak -2 mat.yakgold standard - read-level phasing, no switch ambiguity where parents are informative
Inbred / doubled-haploid / molehifiasm -l0 (purging OFF)nothing to phase; default purging would DELETE real segmental duplications
Unbalanced hap1/hap2 size after a runre-run with --hom-cov set to the k-mer peakthe size imbalance is a mis-estimated coverage alarm, not a phasing result
T2T-grade reference, have HiFi + ultralong ONT + trio/Hi-Cverkko (or hifiasm --ul for speed)only graph + UL spanning reaches gapless centromeres; T2T is a project, not a flag
No ultralong ONT but want a referencehifiasm-HiFi-only is the sensible stopneither tool reaches T2T without UL reads to span repeats
One of 50 individuals in a diversity panelphased diploid (primary may suffice)do NOT chase T2T per-sample; match grade to question
Reads not yet QC'd-> long-read-sequencing/long-read-qcHiFi length/QV/contamination cap assembly quality

hifiasm Invocations (the fragile commands - run as written)

bash
# HiFi-only (default): primary mosaic + PARTIALLY-phased hap1/hap2
hifiasm -o prefix -t 32 reads.hifi.fq.gz

# Hi-C phased (no parents) - Cheng 2022; global phasing
hifiasm -o prefix -t 32 --h1 hic_R1.fq.gz --h2 hic_R2.fq.gz reads.hifi.fq.gz

# Trio phased (gold standard) - build parental k-mer DBs first (k=31)
yak count -k31 -b37 -t16 -o pat.yak paternal_R1.fq.gz paternal_R2.fq.gz
yak count -k31 -b37 -t16 -o mat.yak maternal_R1.fq.gz maternal_R2.fq.gz
hifiasm -o prefix -t 32 -1 pat.yak -2 mat.yak reads.hifi.fq.gz

# Inbred / homozygous / mole: DISABLE purging or real duplications are deleted
hifiasm -o prefix -t 32 -l0 reads.hifi.fq.gz

# Unbalanced haplotype sizes: pin the homozygous-coverage peak read off the k-mer histogram
hifiasm -o prefix -t 32 --hom-cov 38 reads.hifi.fq.gz

# Ultralong ONT toward T2T (combine with Hi-C or trio for phasing)
hifiasm -o prefix -t 32 --ul ul_ont.fq.gz reads.hifi.fq.gz

Key flags: -l purge level (0 none, 1 light, 2/3 aggressive; default 3 in HiFi-only, 0 in trio); --h1/--h2 Hi-C R1/R2; -1/-2 paternal/maternal yak DBs; --ul ultralong ONT; --hom-cov INT force the homozygous-coverage peak; --n-hap INT ploidy (default 2); --primary emit primary + alternate (a_ctg) instead of dual hap1/hap2.

Output Filenames: the .bp. vs .dip. Convention (read the prefix, it encodes the mode)

The prefix is not cosmetic - it tells how the assembly was phased:

  • .bp. ("balanced phasing") = HiFi-only OR Hi-C mode. prefix.bp.p_ctg.gfa (the mosaic primary), prefix.bp.hap1.p_ctg.gfa/prefix.bp.hap2.p_ctg.gfa (the two haplotypes - partially phased in HiFi-only, fully phased with Hi-C). Also prefix.bp.r_utg.gfa/p_utg.gfa (unitig graphs).
  • .dip. ("diploid") = trio mode. prefix.dip.hap1.p_ctg.gfa (paternal/hap1), prefix.dip.hap2.p_ctg.gfa (maternal/hap2).
  • --primary mode: prefix.p_ctg.gfa (primary) + prefix.a_ctg.gfa (alternate). The alternate is incomplete by construction (only heterozygous loci produce alt contigs).
  • Reusable binaries prefix.ec.bin/ovlp.*.bin let a re-run with different -l/phasing skip error-correction.

People grep hap1.p_ctg and are confused when a trio run made dip.hap1.p_ctg and a Hi-C run made bp.hap1.p_ctg. Verify the actual emitted names against the installed version.

GFA Is Not FASTA (extract S lines before anything downstream)

hifiasm and verkko emit assembly graphs (GFA), and downstream tools want FASTA. Contig sequences live in GFA S (segment) lines:

bash
gfatools gfa2fa prefix.bp.hap1.p_ctg.gfa > hap1.fa          # preferred
awk '/^S/{print ">"$2"\n"$3}' prefix.bp.hap1.p_ctg.gfa > hap1.fa   # dependency-free fallback

The graph also carries bubbles/alternate paths the FASTA throws away - keep the GFA. Verkko works internally in homopolymer-compressed coordinates (its .gfa is HPC); its final assembly.fasta is in normal space.

verkko (T2T, when the goal genuinely needs it)

T2T is a project, not a flag. Reach for verkko only when T2T completeness is the actual goal AND the data exist (deep HiFi PLUS good ultralong ONT N50 PLUS trio or Hi-C). It is slower, heavier (hundreds of CPU-hours, high RAM, Snakemake-orchestrated), and more fragile than hifiasm. CHM13 - the first T2T human - was a hydatidiform mole precisely because a mole is effectively homozygous, decoupling repeat-resolution from phasing (Nurk 2022 Science 376:44).

bash
# Trio-phased T2T: build parental + CHILD meryl DBs (k=30), derive hap-mers, then run.
# --hap-kmers needs HAP-MER DBs (haplotype-specific k-mers), not raw parental count DBs.
meryl count k=30 paternal.fq.gz output pat.meryl
meryl count k=30 maternal.fq.gz output mat.meryl
meryl count k=30 child.fq.gz    output child.meryl
$MERQURY/trio/hapmers.sh mat.meryl pat.meryl child.meryl   # hapmers.sh takes maternal first; emits mat/pat.hapmer.meryl
verkko -d asm_out --hifi hifi.fq.gz --nano ul_ont.fq.gz \
  --hap-kmers pat.hapmer.meryl mat.hapmer.meryl trio       # paternal first -> haplotype1=paternal (matches hifiasm -1 pat)

# Hi-C-phased (no parents)
verkko -d asm_out --hifi hifi.fq.gz --nano ul_ont.fq.gz --hic1 hic_R1.fq.gz --hic2 hic_R2.fq.gz

--hifi accurate reads; --nano ultralong ONT (the spanning data, strongly recommended); --hap-kmers <hap1> <hap2> trio (argument ORDER sets which becomes haplotype1/haplotype2 - it is not inferred from biology) or --hic1/--hic2 for phasing. Outputs assembly.fasta, assembly.haplotype1.fasta, assembly.haplotype2.fasta, assembly.homopolymer-compressed.gfa. verkko-vs-hifiasm(--ul): verkko closes more chromosomes automatically at higher cost; hifiasm --ul brings much of the spanning benefit far cheaper but needs more manual finishing. Neither reaches T2T without ultralong reads.

Per-Method Failure Modes

Primary assembly used as if it were a haplotype

Trigger: running the primary .bp.p_ctg/p_ctg into an allele-aware analysis. Mechanism: the primary is a per-block haplotype mosaic. Symptom: garbage phased variant / ASE / HLA results; "best" metrics. Fix: use trio/Hi-C-phased hap1/hap2; never the primary for allele-aware work.

Show full SKILL.md (825 more words)Show less
Partial phasing mistaken for full phasing

Trigger: treating HiFi-only .bp.hap1/hap2 as trio-grade haplotypes. Mechanism: no linkage data -> locally phased with inter-block switch errors. Symptom: phasing breaks at block boundaries; high switch rate vs trio. Fix: add Hi-C (--h1/--h2) or trio (-1/-2) for global phasing; validate with hap-mers.

Default purging on an inbred/homozygous sample

Trigger: running hifiasm at default -l3 on an inbred line, doubled-haploid, or mole. Mechanism: real segmental duplications/paralogs look like duplicate haplotigs in a homozygous genome and get purged. Symptom: assembly shrinks below true genome size; real duplications collapsed. Fix: -l0 (purging off) for low-heterozygosity samples.

Unbalanced hap1/hap2 size read as biology

Trigger: one haplotype much larger than the other. Mechanism: hifiasm mis-estimated the homozygous-coverage peak (bimodal coverage, odd ploidy, contamination), so it over-/under-purged. Symptom: size ratio far from 1. Fix: read the peak off the k-mer/coverage histogram (GenomeScope) and set --hom-cov.

Phasing reported without phasing QC

Trigger: N50 + BUSCO + QV reported, no switch/hamming or hap-mer blob plot. Mechanism: those metrics are structurally blind to mosaicism. Symptom: a "great" assembly that is a phasing disaster. Fix: Merqury hap-mer blob plot + switch/hamming vs trio/Hi-C hap-mers (-> assembly-qc). No hap-mers (no trio/Hi-C) = phasing unvalidated by construction.

Trigger: reaching for verkko (or --ul) without ultralong ONT or without a T2T goal. Mechanism: UL N50 - not HiFi coverage - is the binding T2T constraint; 60x HiFi cannot span a 3 Mb satellite array. Symptom: months of compute, no T2T gain. Fix: confirm UL N50 (a meaningful fraction >100 kb) and a real T2T need first; else hifiasm-HiFi-only.

Quantitative Thresholds

ThresholdSourceRationale
HiFi coverage >=13x per haplotype; ~30-40x diploid sweet spothifiasm FAQ + communitybelow ~13x/hap het bubbles fragment; past ~40x diminishing returns and worse false-dup
HiFi >40x is not free qualitycommunity conventionextra coverage can confuse the --hom-cov estimate and inflate false duplications
Ultralong ONT N50: the longer the better, meaningful fraction >100 kb (T2T targets >100 kb-1 Mb)T2T practiceUL value is entirely about spanning centromeres/satellites; short "long" reads add little
-l purge: default 3 (HiFi-only), 0 (trio), set 0 for inbredhifiasm man pageaggressive purging cleans outbred het-dups but deletes real sequence in homozygous samples
k=31 (yak/hifiasm trio) vs k=30 (verkko/Merqury hap-mers)tool conventionsmixing k silently corrupts hap-mer matching - match each tool
Assembly QV: HiFi diploid routinely Q40-Q50; T2T reference ~Q60-Q70+Merqury practicebase QV is a SEPARATE axis from phasing accuracy (switch/hamming)
Do NOT reflexively polish HiFiover-polishing riskHiFi is already ~Q30+ at read level; polishing an accurate assembly often lowers QV (-> assembly-polishing)

Common Errors

Error / symptomCauseSolution
Downstream tool rejects hifiasm outputGFA, not FASTAextract S lines (gfatools gfa2fa or awk)
Assembly below expected genome size, real duplications gonedefault purging on an inbred/mole samplere-run with -l0
hap1 and hap2 wildly different sizesmis-estimated homozygous-coverage peakset --hom-cov from the k-mer histogram
"hap1" file but phasing breaks across blocksHiFi-only partial phasingadd Hi-C/trio for global phasing
Allele-aware analysis (ASE/phased variants) looks wrongused the primary mosaicuse phased hap1/hap2, not primary
QV drops after polishing the HiFi assemblyover-polishing an already-accurate assemblystop; HiFi rarely needs short-read polish
verkko run never reaches T2Tno/short ultralong ONTUL N50 is the binding constraint; add long UL or stop at hifiasm
Trio run produced dip.*, scripts expected bp.*mode encodes the prefixmatch filename prefix to phasing mode

References

  • Cheng H, Concepcion GT, Feng X, Zhang H, Li H. 2021. Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm. Nat Methods 18:170-175.
  • Cheng H, Jarvis ED, Fedrigo O, et al. 2022. Haplotype-resolved assembly of diploid genomes without parental data. Nat Biotechnol 40:1332-1335.
  • Nurk S, Walenz BP, Rhie A, et al. 2020. HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads. Genome Res 30:1291-1305.
  • Koren S, Rhie A, Walenz BP, et al. 2018. De novo assembly of haplotype-resolved genomes with trio binning. Nat Biotechnol 36:1174-1182.
  • Rautiainen M, Nurk S, Walenz BP, et al. 2023. Telomere-to-telomere assembly of diploid chromosomes with Verkko. Nat Biotechnol 41:1474-1482.
  • Antipov D, Rautiainen M, Nurk S, et al. 2025. Verkko2 integrates proximity-ligation data with long-read de Bruijn graphs. Genome Res 35:1583-1594.
  • Nurk S, Koren S, Rhie A, et al. 2022. The complete sequence of a human genome (T2T-CHM13). Science 376:44-53.
  • Liao WW, Asri M, Ebler J, et al. 2023. A draft human pangenome reference. Nature 617:312-324.
  • Rhie A, Walenz BP, Koren S, Phillippy AM. 2020. Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies. Genome Biol 21:245.
  • genome-profiling - Decide outbred/inbred/ploidy and the homozygous-coverage peak before setting purge level and --hom-cov
  • assembly-qc - Merqury hap-mer blob plots and switch/hamming are the only QC that sees phasing
  • assembly-polishing - HiFi is already accurate; deciding whether to polish at all
  • scaffolding - Hi-C used here for phasing; chromosome-scale scaffolding (YaHS/SALSA2) is the adjacent step
  • contamination-detection - Screen contigs for foreign sequence after assembly
  • long-read-sequencing/long-read-qc - HiFi read length/QV/contamination before assembly
  • workflows/genome-assembly-pipeline - End-to-end profile -> assemble -> phase -> QC -> scaffold

© GPTomics, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in genome-assembly/hifi-assembly of GPTomics/bioSkills.

  • SKILL.md
  • examples/hifi_assembly_workflow.sh
  • usage-guide.md

Open the folder on GitHubat commit d91ed3d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in GPTomics/bioSkills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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    Auto-check passed
  • Bio Write Sequences

    GPTomics/bioSkills

    Write biological sequences to files (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO.

    1.2k GitHub starsUsed in 3 repos~2.1k tokens
    Auto-check passed
  • Amplicon Primer Clipping

    GPTomics/bioSkills

    Soft- or hard-clips PCR primer footprints from aligned amplicon BAMs so primer bases stop masquerading as confirmed reference sequence.

    1.2k GitHub starsUsed in 2 repos~2.2k tokens
    Auto-check passed
  • Filters BAM alignments by FLAG bits, mapping quality and regions with samtools view or pysam, with recipes for common keep and drop cases.

    1.2k GitHub starsUsed in 2 repos~3.6k tokens
    Auto-check passed
  • Bio Alignment Indexing

    GPTomics/bioSkills

    Create and use BAI/CSI indices for BAM/CRAM files using samtools and pysam.

    1.2k GitHub starsUsed in 2 repos~2.4k tokens
    Auto-check passed

Questions about Bio Genome Assembly Hifi Assembly

What does Bio Genome Assembly Hifi Assembly do?

Assembles haplotype-resolved diploid and telomere-to-telomere (T2T) genomes from PacBio HiFi reads with hifiasm (HiFi-only, Hi-C, or trio phasing) and verkko (HiFi + ultralong ONT for T2T)…. Bio Genome Assembly Hifi Assembly is an agent skill from GPTomics/bioSkills. Assembles haplotype-resolved diploid and telomere-to-telomere (T2T) genomes from PacBio HiFi reads with hifiasm (HiFi-only, Hi-C, or trio phasing) and verkko (HiFi + ultralong ONT for T2T), extracting contigs from GFA and routing phasing QC to k-mer/trio metrics.

When should I use Bio Genome Assembly Hifi Assembly?

Bio Genome Assembly Hifi Assembly fits situations like: assembling a diploid eukaryote from HiFi; phasing haplotypes with parents (trio); deciding whether to chase T2T; diagnosing switch errors invisible to N50/BUSCO/QV.

How do I install Bio Genome Assembly Hifi Assembly in Claude Code?

Run `npx skills add GPTomics/bioSkills --skill bio-genome-assembly-hifi-assembly -a claude-code`. Or copy the skill folder (genome-assembly/hifi-assembly in GPTomics/bioSkills) into .claude/skills/bio-genome-assembly-hifi-assembly in your project. Claude Code loads it when a task matches its description.

How do I install Bio Genome Assembly Hifi Assembly in Codex?

Run `npx skills add GPTomics/bioSkills --skill bio-genome-assembly-hifi-assembly -a codex`. Or copy the skill folder (genome-assembly/hifi-assembly in GPTomics/bioSkills) into .agents/skills/bio-genome-assembly-hifi-assembly in your project. Codex loads it when a task matches its description.

Can I use Bio Genome Assembly Hifi Assembly in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add GPTomics/bioSkills --skill bio-genome-assembly-hifi-assembly -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bio-genome-assembly-hifi-assembly, .gemini/skills/bio-genome-assembly-hifi-assembly, .github/skills/bio-genome-assembly-hifi-assembly and .opencode/skills/bio-genome-assembly-hifi-assembly in your project.

What does Bio Genome Assembly Hifi Assembly need to run?

Going by SKILL.md and its folder, Bio Genome Assembly Hifi Assembly needs a shell for the scripts in its folder. Our summary lists: A Bash shell.

Does Bio Genome Assembly Hifi Assembly access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Bio Genome Assembly Hifi Assembly safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Bio Genome Assembly Hifi Assembly use?

Bio Genome Assembly Hifi Assembly is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bio Genome Assembly Hifi Assembly use?

About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Bio Genome Assembly Hifi Assembly?

Skills that share tags, products or a category with Bio Genome Assembly Hifi Assembly: Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars), Clinvar Database (google-deepmind/science-skills, 3.2k stars) and Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bio Genome Assembly Hifi Assembly?

GPTomics (a GitHub organization) maintains it in GPTomics/bioSkills, which has 1,218 GitHub stars. The repository holds 559 skills in this directory. The repository was last updated on August 15, 2026.

Source: GPTomics/bioSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.