Agent skill

Bio Primer Design Qpcr Primers

by GPTomics in GPTomics/bioSkills

Co-designs qPCR/RT-qPCR primers and hydrolysis (TaqMan) or molecular-beacon probes with primer3-py (PRIMERPICKINTERNALOLIGO, PRIMERINTERNAL tags), for assays whose deliverable is a quantitative…

MITAuto-check passedResearch & Science

Install Bio Primer Design Qpcr Primers

skills CLI
$ npx skills add GPTomics/bioSkills --skill bio-primer-design-qpcr-primers -a claude-code

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

GitHub CLI
$ gh skill install GPTomics/bioSkills bio-primer-design-qpcr-primers --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/primer-design/qpcr-primers .claude/skills/bio-primer-design-qpcr-primers && 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-primer-design-qpcr-primers
GitHub stars
1.2k
Used in
1 other repo
Token cost
~4.4k tokens
SKILL.md length
1,925 words
Files
3
Skills in repo
559
Repo updated
First seen
Licence
MIT

At a glance

Co-designs qPCR/RT-qPCR primers and hydrolysis (TaqMan) or molecular-beacon probes with primer3-py (PRIMERPICKINTERNALOLIGO, PRIMERINTERNAL tags), for assays whose deliverable is a quantitative…

  • Works in 3 steps: Validity rests on efficiency and… → The probe is coupled to the primers, not… → Design-level gDNA exclusion is real but…
  • Designing TaqMan/SYBR assays
  • SKILL.md covers Version Compatibility, The Single Most Important…, The Quantification Math (Why… and Tool Taxonomy, plus 9 more sections
  • Runs Python scripts from its folder; calls pip

What it does

Bio Primer Design Qpcr Primers is an agent skill from GPTomics/bioSkills. Co-designs qPCR/RT-qPCR primers and hydrolysis (TaqMan) or molecular-beacon probes with primer3-py (PRIMERPICKINTERNALOLIGO, PRIMERINTERNAL tags), for assays whose deliverable is a quantitative measurement device. Covers why amplification efficiency (90-110%, slope -3.6 to -3.1) and single-product specificity make the 2^-ddCq / Pfaffl math valid, why the short amplicon (70-150 bp), tight Tm, and zero-dimer requirement exist, the coupled probe rules (probe Tm 8-10 C above primers so it is bound when Taq's…

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `examples/qpcr_design.py` 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

  • Designing TaqMan/SYBR assays
  • Exon-spanning primers
  • Matched-efficiency multiplex panels

Example prompts

  • “s exonuclease cleaves it; no 5”
  • “/bio-primer-design-qpcr-primers”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Validity rests on efficiency and specificity. A Cq difference maps to a true fold-change only through (1+E)^-dCq (at ideal E=1, 2^-ddCq)…
  2. The probe is coupled to the primers, not bolted on. A hydrolysis probe must be BOUND when the polymerase extends through it (so Taq's…
  3. Design-level gDNA exclusion is real but leaky. Exon-junction-spanning or intron-flanking primers reduce genomic-DNA amplification, but…

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 (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • pip

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

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    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 Primer Design Qpcr Primers loads about 4.4k tokens when it runs. Until then it costs about 264 tokens; SKILL.md has 1,925 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~264
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k

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). 1,925 words, ~4,375 tokens.

Download SKILL.mdSave it as .claude/skills/bio-primer-design-qpcr-primers/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
bio-primer-design-qpcr-primers
description
Co-designs qPCR/RT-qPCR primers and hydrolysis (TaqMan) or molecular-beacon probes with primer3-py (PRIMER_PICK_INTERNAL_OLIGO, PRIMER_INTERNAL_* tags), for assays whose deliverable is a quantitative measurement device. Covers why amplification efficiency (90-110%, slope -3.6 to -3.1) and single-product specificity make the 2^-ddCq / Pfaffl math valid, why the short amplicon (70-150 bp), tight Tm, and zero-dimer requirement exist, the coupled probe rules (probe Tm 8-10 C above primers so it is bound when Taq's exonuclease cleaves it; no 5' G as it quenches the reporter; C-rich strand; primer3 has NO no-5'-G tag so enforce PRIMER_INTERNAL_MUST_MATCH_FIVE_PRIME=HNNNN), gDNA exclusion by exon-junction spanning AND why pseudogenes defeat it, SYBR melt-curve QC, and reference-gene validation (geNorm/NormFinder). Use when designing TaqMan/SYBR assays, exon-spanning primers, probes, or matched-efficiency multiplex panels. Genome specificity is primer-specificity; dimers primer-validation; standard PCR primer-basics.
tool_type
python
primary_tool
primer3-py

Version Compatibility

Reference examples tested with: primer3-py 2.3+.

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

  • Python: pip show primer3-py then help(primer3.design_primers) to check signatures

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

qPCR Primer and Probe Design -- Building a Quantitative Measurement Device

"Design qPCR primers (and a probe) for this target" -> Co-design a short, single-product, Tm-matched amplicon with an optional internal probe whose constraints are coupled to the primers -- because the assay's job is not to amplify but to MEASURE, and every qPCR-specific rule protects the efficiency the quantification math assumes.

  • Python: primer3.design_primers(seq_args, global_args) with PRIMER_PICK_INTERNAL_OLIGO=1 and PRIMER_INTERNAL_* for the probe.

Scope: co-designing qPCR/RT-qPCR primers and hydrolysis/beacon probes under coupled Tm/size/junction constraints. Genome-wide specificity / pseudogene checking -> primer-specificity. Intramolecular dimers/hairpins of the oligos and probe -> primer-validation. Standard (non-quantitative) PCR -> primer-basics.

The Single Most Important Modern Insight -- A qPCR Assay Is a Measurement Device, and Efficiency Is a Parameter in the Equation, Not a QC Afterthought

  1. Validity rests on efficiency and specificity. A Cq difference maps to a true fold-change only through (1+E)^-dCq (at ideal E=1, 2^-ddCq). That requires amplification efficiency E ~ 90-110% (standard-curve slope -3.6 to -3.1, R^2 > 0.99) AND a single product. The short amplicon (70-150 bp), tight Tm, and zero-dimer requirement all exist to protect E and specificity. 2^-ddCq is valid ONLY when the target and reference-gene efficiencies are matched and near 100% -- so design for matched ~100% E, or fall back to Pfaffl's efficiency-corrected model.
  2. The probe is coupled to the primers, not bolted on. A hydrolysis probe must be BOUND when the polymerase extends through it (so Taq's 5'->3' exonuclease cleaves it and frees the reporter), which is why its Tm must sit 8-10 C ABOVE the primer Tm. It must NOT start with G (a 5'-G quenches the reporter even after cleavage), and the C-rich strand is preferred because G-richness anywhere near the reporter also quenches it. primer3's internal-oligo Tm defaults EQUAL the primer defaults, so they must be raised, and there is no dedicated no-5'-G tag -- enforce it with PRIMER_INTERNAL_MUST_MATCH_FIVE_PRIME='HNNNN' (IUPAC H = not G) or a post-hoc filter. This is the hydrolysis (TaqMan) probe path; a molecular beacon needs engineered complementary stem arms (a deliberate hairpin) that primer3's internal-oligo picker does NOT design and would flag as a liability -- design the linear core here, add the stem afterward, and exclude that hairpin from validation.
  3. Design-level gDNA exclusion is real but leaky. Exon-junction-spanning or intron-flanking primers reduce genomic-DNA amplification, but processed pseudogenes (intronless retro-copies that usually carry the junction) defeat junction-spanning, and tiny introns defeat flanking. So DNase + a no-RT control + a genome specificity check (-> primer-specificity) remain mandatory; single-exon genes have no design-level option at all.

The Quantification Math (Why the Constraints Exist)

Efficiency from a standard curve: E = 10^(-1/slope) - 1; perfect doubling is slope -3.32 (E = 100%). Relative quantification with matched ~100% efficiency uses 2^-ddCq (Livak & Schmittgen 2001 Methods 25:402); with UNEQUAL efficiencies use the efficiency-corrected ratio E_target^dCq / E_ref^dCq (Pfaffl 2001 Nucleic Acids Res 29:e45). Report per MIQE (Bustin 2009 Clin Chem 55:611): efficiency, slope, R^2, Cq method, NTC and no-RT controls, and validated reference genes. The design objective is therefore "single short amplicon with slope near -3.32," not "two oligos that amplify."

Tool Taxonomy

Tool / methodCitationMechanism / roleWhen
primer3-py internal oligoUntergasser 2012 Nucleic Acids Res 40:e115PRIMER_PICK_INTERNAL_OLIGO=1 + PRIMER_INTERNAL_* co-designs the probe with the primersTaqMan / hydrolysis-probe assays
PRIMER_INTERNAL_MUST_MATCH_FIVE_PRIMEUntergasser 2012 Nucleic Acids Res 40:e115constrains the probe 5' end (use HNNNN to forbid 5'-G)enforce the no-5'-G probe rule
SEQUENCE_OVERLAP_JUNCTION_LISTUntergasser 2012 Nucleic Acids Res 40:e115forces a primer/probe to straddle a splice junctioncDNA-specific expression assays
MIQE reportingBustin 2009 Clin Chem 55:611the minimum information / efficiency-from-standard-curve standardevery quantitative assay
geNorm / NormFinderVandesompele 2002 Genome Biol 3:RESEARCH0034; Andersen 2004 Cancer Res 64:5245rank reference-gene stabilitychoosing normalizers, validated per condition
In-silico PCR (genome)(route OUT)catches pseudogenes / gDNA off-targetsmandatory gDNA/specificity check -> primer-specificity

Decision Tree by Scenario

ScenarioRecommendedWhy
Probe-based (multiplex-capable, second specificity check)TaqMan: PRIMER_PICK_INTERNAL_OLIGO=1, probe Tm 8-10 C above primers, HNNNN 5'the probe adds sequence specificity and enables multiplex
Single target, cheapest, no probeSYBR (no internal oligo) + mandatory melt-curve QCdye reports any dsDNA; melt curve is the specificity readout
Expression assay, avoid gDNAexon-junction-spanning primers (SEQUENCE_OVERLAP_JUNCTION_LIST)the junction does not exist contiguously in unspliced gDNA
Gene has a processed pseudogenejunction-spanning is NOT enough -> primer-specificity (search genome) + no-RT controlthe pseudogene carries the junction
Single-exon gene (no junction)DNase + no-RT control; no design-level gDNA exclusionthere is no intron/junction to exploit
AT-rich target / allele discriminationMGB or LNA probe (shorter, higher effective Tm)raises probe Tm where a standard probe cannot reach
Multiplex panelspectrally distinct fluorophores, matched E, primer-limiting, all-pairs cross-dimercompetition and cross-dimers dominate; primer-limiting = drop the abundant target's primer concentration so it plateaus early and stops starving the rare target of shared reagents
Choosing normalizersrank a candidate panel with geNorm/NormFinder, validate per conditiona single unvalidated reference gene is a classic error

Default when uncertain: TaqMan primers+probe, amplicon 70-150 bp, primers Tm ~60 C (within 2 C), probe Tm ~68-70 C with HNNNN, exon-junction-spanning for expression, then route the pair to primer-specificity and run a standard curve.

Co-Design Primers and a TaqMan Probe

Goal: Produce a short, Tm-matched amplicon with an internal probe whose Tm is 8-10 C above the primers and whose 5' base is not G.

Approach: Turn on internal-oligo picking, set the primer Tm window and a short product range, RAISE the PRIMER_INTERNAL_* Tm window 8-10 C above the primers (the defaults equal the primer Tm), and forbid a 5'-G probe with PRIMER_INTERNAL_MUST_MATCH_FIVE_PRIME='HNNNN'. For an expression assay add SEQUENCE_OVERLAP_JUNCTION_LIST.

python
import primer3

template = 'ATGC...'  # cDNA (mark the junction position if expression-specific)

result = primer3.design_primers(
    seq_args={'SEQUENCE_ID': 'assay1', 'SEQUENCE_TEMPLATE': template},
    global_args={
        'PRIMER_PICK_LEFT_PRIMER': 1, 'PRIMER_PICK_RIGHT_PRIMER': 1,
        'PRIMER_PICK_INTERNAL_OLIGO': 1,                 # design the probe
        'PRIMER_PRODUCT_SIZE_RANGE': [[70, 150]],        # short amplicon for efficiency
        'PRIMER_NUM_RETURN': 3,
        'PRIMER_OPT_TM': 60.0, 'PRIMER_MIN_TM': 58.0, 'PRIMER_MAX_TM': 62.0,
        'PRIMER_PAIR_MAX_DIFF_TM': 2.0,
        'PRIMER_INTERNAL_OPT_TM': 70.0, 'PRIMER_INTERNAL_MIN_TM': 68.0, 'PRIMER_INTERNAL_MAX_TM': 72.0,
        'PRIMER_INTERNAL_MUST_MATCH_FIVE_PRIME': 'HNNNN',  # IUPAC H = A/C/T = not G at the probe 5' end
        # 'SEQUENCE_OVERLAP_JUNCTION_LIST': [junction_pos],  # add for cDNA-specific assays
    })

for i in range(result['PRIMER_PAIR_NUM_RETURNED']):
    probe = result[f'PRIMER_INTERNAL_{i}_SEQUENCE']
    print(result[f'PRIMER_LEFT_{i}_SEQUENCE'], result[f'PRIMER_RIGHT_{i}_SEQUENCE'], probe,
          'probe5=', probe[0], 'probeTm=', round(result[f'PRIMER_INTERNAL_{i}_TM'], 1),
          'size=', result[f'PRIMER_PAIR_{i}_PRODUCT_SIZE'])

Exon-Junction Spanning, and Its Limits

For a cDNA-specific assay, place a primer or the probe across a splice junction with SEQUENCE_OVERLAP_JUNCTION_LIST = [pos] plus PRIMER_MIN_3_PRIME_OVERLAP_OF_JUNCTION (default 4) and PRIMER_MIN_5_PRIME_OVERLAP_OF_JUNCTION (default 7); the 3' overlap is the specificity-determining knob because a primer that only overlaps at its 5' end can still prime off gDNA from its 3' anchor. The internal-oligo equivalents (PRIMER_INTERNAL_MIN_3_PRIME_OVERLAP_OF_JUNCTION / _5_PRIME_) constrain the probe. The hard caveat: this does NOT protect against processed pseudogenes, which typically carry the junction in DNA -- so the assay still needs a genome specificity check (-> primer-specificity), DNase treatment, and a no-RT control. Intron-flanking (primers in different exons across a large intron) is the alternative, but fails across tiny introns.

Assembling a Multiplex Panel

Multiplex is the most failure-prone mode; assemble it in order: (1) design each assay independently (short amplicon, matched Tm, probe offset); (2) check ALL primer+probe oligos pairwise for cross-dimers -- for k assays that is O((2k primers + k probes)^2) checks (a 5-plex = 10 primers + 5 probes = 105 pairwise calls), weighting 3'-end involvement (-> primer-validation); (3) run in-silico PCR over the POOLED primer set so cross-pair amplicons (one assay's forward meeting another's reverse) are caught (-> primer-specificity); (4) assign spectrally distinct fluorophores -- the instrument's optical channels and spectral overlap CAP the plex (most platforms resolve ~4-6 dyes, with color compensation), so the channel count, not the chemistry, usually limits a high-plex; (5) match efficiencies on a multiplex standard curve and primer-limit the abundant targets so they do not starve the rare ones.

Show full SKILL.md (724 more words)Show less

Per-Method Failure Modes

Fold-changes reported without measuring efficiency

Trigger: Applying 2^-ddCq without a standard curve. Mechanism: the method assumes target and reference efficiencies are matched and ~100%; if not, fold-changes are systematically biased. Symptom: numbers that are not measurements; results that do not replicate across instruments. Fix: run a standard curve, report E/slope/R^2 (MIQE), and use Pfaffl if efficiencies differ.

Probe Tm not 8-10 C above primers

Trigger: Leaving PRIMER_INTERNAL_* Tm at the default (equal to the primers). Mechanism: the probe is not bound when the polymerase extends through it, so the exonuclease never cleaves it. Symptom: weak or no TaqMan signal. Fix: raise the internal Tm window 8-10 C above the primer window.

5'-G on the probe

Trigger: Not forbidding a 5' guanine. Mechanism: a 5'-G quenches the reporter even after cleavage. Symptom: low signal despite good amplification. Fix: PRIMER_INTERNAL_MUST_MATCH_FIVE_PRIME='HNNNN' or filter returned probes; prefer the C-rich strand.

Assuming exon-junction primers are gDNA-proof

Trigger: Trusting junction-spanning alone. Mechanism: processed pseudogenes carry the spliced junction in genomic DNA. Symptom: a positive no-RT control; a genomic amplicon at the cDNA size. Fix: genome specificity check (primer-specificity), DNase, and a no-RT control.

Primer-dimers in a SYBR assay

Trigger: Any extendable cross-dimer with SYBR detection. Mechanism: the dye reports the dimer, which competes with and can swamp a low-copy target. Symptom: a low-Tm shoulder in the melt curve; inflated NTC/low-copy signal. Fix: inspect the melt curve for a single sharp peak; validate dimers at reaction conditions (primer-validation).

Single, unvalidated reference gene

Trigger: Normalizing to GAPDH/ACTB by habit. Mechanism: the reference may itself be regulated by the treatment. Symptom: apparent target changes that track a moving normalizer. Fix: rank a candidate panel with geNorm/NormFinder and validate stability in the actual experimental conditions.

Quantitative Thresholds

ThresholdSourceRationale
Efficiency 90-110% (slope -3.6 to -3.1, ideal -3.32), R^2 > 0.99Bustin 2009 Clin Chem 55:611the acceptance band that keeps 2^-ddCq valid
Amplicon 70-150 bpBustin 2009 Clin Chem 55:611short products denature/re-prime fully each short cycle -> ~100% E
Primer Tm ~58-62 C, pair within 2 CKoressaar & Remm 2007 Bioinformatics 23:1289one anneal-extend temperature; matched so neither lags
Probe Tm 8-10 C above primer Tm--probe bound before/during extension so the exonuclease can cleave it
Probe: no 5'-G, prefer C-rich strand--a 5'-G (and G-richness) quenches the reporter; the standard rule for 5'-reporter hydrolysis probes (reporter/quencher-chemistry dependent)
Standard curve: 5-6 points, 10-fold, triplicateBustin 2009 Clin Chem 55:611defines E, R^2, dynamic range, LOD
Reference genes: >=2 validatedVandesompele 2002 Genome Biol 3:RESEARCH0034geometric mean of stable references beats one gene

Common Errors

Error / symptomCauseSolution
Weak/no TaqMan signalprobe Tm too low, or 5'-Graise PRIMER_INTERNAL_* Tm 8-10 C; HNNNN; C-rich strand
No probe returned (0 pairs)internal Tm window unreachable on this templatewiden/lower internal Tm or product range; check with PRIMER_EXPLAIN_FLAG=1
Positive no-RT controlgDNA / pseudogene amplificationjunction-span + genome check (primer-specificity) + DNase
Poor efficiency (slope steep/shallow)amplicon too long, dimers, off-target, or template inhibitors/degraded standardshorten amplicon, fix dimers (primer-validation), check specificity, clean up template
Low-Tm melt peak (SYBR)primer-dimerredesign to remove 3'-end cross-dimers (primer-validation)
Fold-changes do not replicateunmatched efficiency, unvalidated referencematch E or use Pfaffl; validate references with geNorm/NormFinder

References

  • Bustin SA, Benes V, Garson JA, et al. 2009. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem 55:611-622.
  • Untergasser A, Cutcutache I, Koressaar T, et al. 2012. Primer3 - new capabilities and interfaces. Nucleic Acids Res 40:e115.
  • Livak KJ, Schmittgen TD. 2001. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods 25:402-408.
  • Pfaffl MW. 2001. A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29:e45.
  • Vandesompele J, De Preter K, Pattyn F, et al. 2002. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 3:RESEARCH0034.
  • Andersen CL, Jensen JL, Orntoft TF. 2004. Normalization of real-time quantitative RT-PCR data: a model-based variance estimation approach to identify genes suited for normalization. Cancer Res 64:5245-5250.
  • Koressaar T, Remm M. 2007. Enhancements and modifications of primer design program Primer3. Bioinformatics 23:1289-1291.
  • primer-basics - Design fundamentals, Tm matching, and the constraint model
  • primer-validation - Dimers/hairpins of primers and probe at reaction conditions
  • primer-specificity - Genome/pseudogene specificity and gDNA exclusion checking
  • sequence-manipulation/transcription-translation - Work with cDNA and reading frames
  • differential-expression/deseq2-basics - Downstream analysis qPCR validates against

© 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 primer-design/qpcr-primers of GPTomics/bioSkills.

  • SKILL.md
  • examples/qpcr_design.py
  • 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.

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Questions about Bio Primer Design Qpcr Primers

What does Bio Primer Design Qpcr Primers do?

Co-designs qPCR/RT-qPCR primers and hydrolysis (TaqMan) or molecular-beacon probes with primer3-py (PRIMERPICKINTERNALOLIGO, PRIMERINTERNAL tags), for assays whose deliverable is a quantitative…. Bio Primer Design Qpcr Primers is an agent skill from GPTomics/bioSkills. Co-designs qPCR/RT-qPCR primers and hydrolysis (TaqMan) or molecular-beacon probes with primer3-py (PRIMERPICKINTERNALOLIGO, PRIMERINTERNAL tags), for assays whose deliverable is a quantitative measurement device.

When should I use Bio Primer Design Qpcr Primers?

Bio Primer Design Qpcr Primers fits situations like: designing TaqMan/SYBR assays; exon-spanning primers; matched-efficiency multiplex panels.

How do I install Bio Primer Design Qpcr Primers in Claude Code?

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

How do I install Bio Primer Design Qpcr Primers in Codex?

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

Can I use Bio Primer Design Qpcr Primers 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-primer-design-qpcr-primers -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-primer-design-qpcr-primers, .gemini/skills/bio-primer-design-qpcr-primers, .github/skills/bio-primer-design-qpcr-primers and .opencode/skills/bio-primer-design-qpcr-primers in your project.

What does Bio Primer Design Qpcr Primers need to run?

Going by SKILL.md and its folder, Bio Primer Design Qpcr Primers needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.

Does Bio Primer Design Qpcr Primers access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Bio Primer Design Qpcr Primers 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 Primer Design Qpcr Primers use?

Bio Primer Design Qpcr Primers 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 Primer Design Qpcr Primers use?

About 4.4k 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 Primer Design Qpcr Primers?

Skills that share tags, products or a category with Bio Primer Design Qpcr Primers: 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 Primer Design Qpcr Primers?

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.