Wes Clinical Report Es logo

Wes Clinical Report Es

OrganizationPopular
ClawBio
wes-clinical-report-es

Generates professional clinical PDF reports in Spanish from WES (Whole Exome Sequencing) data with clinical interpretation, pharmacogenomic alerts, and follow-up recommendations.

Overview

PublisherClawBio
RepositoryClawBio
Skill namewes-clinical-report-es
Stars
1.2K
Forks
280
Bundled files
4
LicensePROPRIETARY
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ClawBio on GitHub. Read the source before you install it.

Installation

Install the Wes Clinical Report Es AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ClawBio/ClawBio/tree/main/skills/wes-clinical-report-es
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ClawBio/ClawBio.git /tmp/ClawBio
mkdir -p .claude/skills
cp -r /tmp/ClawBio/skills/wes-clinical-report-es .claude/skills/wes-clinical-report-es
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wes Clinical Report Es in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wes Clinical Report Es on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wes Clinical Report Es is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Informe Clinico WES en Espanol

Skill for generating professional clinical PDF reports in Spanish from whole exome sequencing (WES) data. Designed for Novogene WES data (GATK + ANNOVAR pipeline) but adaptable to any WES pipeline with equivalent annotations. Translates all section headings, table headers, cell values, and interpretive text from English markdown input to Spanish PDF output.

Trigger

Fire this skill when the user says any of:

  • "informe clinico WES"
  • "generar informe exoma en espanol"
  • "clinical report in Spanish"
  • "Novogene report Spanish"
  • "exome PDF report Spanish"
  • "Predice/Inbiomedic report"

Do NOT fire when:

  • User asks for an English report (use wes-clinical-report-en)
  • User asks for variant annotation only (use variant-annotation)
  • User asks for ACMG classification only (use clinical-variant-reporter)

Scope

One skill, one task: convert WES markdown reports (English input) into professional Spanish-language clinical PDFs with full translation and clinical interpretation.

Workflow

  1. Parse WES markdown report (structured sections 1-7)
  2. Extract KPI metrics from Exome Summary
  3. Extract pathogenic variants, PGx alerts, rare damaging variants
  4. Translate all headings, table headers, cell values, and body text to Spanish
  5. Build interpretive summary paragraph in Spanish
  6. Render all sections as styled PDF with clinical tables
  7. Add ancestry estimation (section 8) if data available
  8. Add limitations section (section 9) in Spanish
  9. Add Spanish disclaimer and report metadata
  10. Output PDF to specified directory

Capabilities

  1. Clinical interpretation summary (Spanish): key findings, high-risk PGx alerts, prioritised rare variants, clinical follow-up recommendations.
  2. Full translation layer: section headings, table headers, metric labels, zygosity, classification, consequence, clinical effects, traits, and interpretations all translated via lookup dictionaries.
  3. Clinically significant variants: ClinVar P/LP, ACMG SF v3.2, cancer predisposition panel, conflicting variants.
  4. Pharmacogenomics: CPIC star alleles, clinical effects, affected medications with contextualised high-risk alerts.
  5. Fitness and nutrition traits: genotypes with evidence grades (Corpas et al. 2021).
  6. Rare damaging variant prioritisation: REVEL, CADD, gnomAD AF.
  7. Institutional logos: Predice (left) and Inbiomedic (right) on cover and header.

Example Output

Pagina 1 (portada):
  [Logo Predice]                    [Logo Inbiomedic]
  +---------------------------------------------+
  |  Secuenciacion del Exoma Completo  [SampleN]|
  |  Plataforma / Referencia / Fecha            |
  +---------------------------------------------+
  [KPIs: SNPs Totales | Missense | Stopgain | Raras Patog. | ClinVar P/PP]

  Interpretacion de resultados
  (parrafo interpretativo clinico auto-generado en espanol)

Paginas 2+:
  1. Resumen del Exoma
  2. Variantes de Significancia Clinica
  3. Farmacogenomica
  4. Rasgos de Aptitud Fisica y Nutricion
  5. Variantes Raras Patogenicas Priorizadas
  6. Contexto de Enfermedad y Vias Metabolicas
  7. Metodologia
  8. Estimacion de Ancestria
  9. Limitaciones
  [Aviso legal / Disclaimer]

Usage

bash
# Generate reports for all samples
python skills/wes-clinical-report-es/wes_clinical_report_es.py \
  --report-dir /path/to/REPORTS/ \
  --output-dir /path/to/PDF-ES/ \
  --logo-left /path/to/logo_predice.jpg \
  --logo-right /path/to/logo_inbiomedic.jpg

# Generate report for a single sample
python skills/wes-clinical-report-es/wes_clinical_report_es.py \
  --report-dir /path/to/REPORTS/ \
  --output-dir /path/to/PDF-ES/ \
  --samples Sample3

# Demo with default Novogene data
python skills/wes-clinical-report-es/wes_clinical_report_es.py --demo

Input format

The skill consumes WES reports in markdown format generated by the analysis pipeline (scripts 02-12 in ANALYSIS/SCRIPTS/). Each markdown report must follow this structure:

markdown
# Whole Exome Sequencing Report: SampleN
> **Project** ... | **Platform** ... | ...
## 1. Exome Summary
## 2. Clinically Significant Variants
## 3. Pharmacogenomics
## 4. Fitness and Nutrition Traits
## 5. Prioritised Rare Damaging Variants
## 6. Disease and Pathway Context
## 7. Methods

Gotchas

  1. Input is English, output is Spanish: the markdown reports are in English. The skill translates to Spanish via dictionary lookups. If a term is missing from the translation dictionaries, it appears in English in the PDF. Check untranslated terms in output.
  2. Logo paths must exist: if Predice/Inbiomedic logo files are missing, the report still generates but without institutional branding. The script silently skips missing logos.
  3. Table truncation: tables with more than 20 rows are truncated in the PDF with a Spanish note to consult TSV files. Do not assume all data is visible in the PDF.
  4. ClinVar classifications are time-sensitive: the report reflects ClinVar state at annotation time. Classifications are not permanent.
  5. PGx star alleles from SNVs only: CYP2D6 CNV analysis is not included. Do not claim complete metaboliser phenotyping.
  6. Hardcoded project ID: the footer references project X202SC26016276-Z01-F001. Update for other projects.

Safety

ClawBio is a research and educational tool. It is not a medical device and does not provide clinical diagnoses. Consult a healthcare professional before making any medical decisions.

The Spanish disclaimer in the PDF reads: "Este informe se genera exclusivamente con fines de investigacion y educacion. No es un informe de diagnostico clinico."

Agent Boundary

The agent dispatches and explains; the skill executes. The agent should not modify PDF generation logic inline. All report customisation goes through CLI flags.

Chaining Partners

  • variant-annotation: upstream VCF annotation feeding markdown reports
  • clinical-variant-reporter: ACMG classification for deeper analysis
  • wes-clinical-report-en: English language version of the same report

Maintenance

  • Review cadence: quarterly (aligned with ClinVar release cycle)
  • Staleness signals: ClinVar version drift, CPIC guideline updates, new Spanish medical terminology standards
  • Deprecation: if WES is superseded by WGS-only clinical pipelines

Requirements

  • Python 3.9+
  • reportlab >= 4.0
  • WES markdown reports (see input format above)
  • Institutional logos in JPG/PNG (optional)

Privacy

This skill is private and not included in the ClawBio public catalog. It contains institutional logos and clinical report templates that should not be distributed publicly.

References

  • Corpas et al. (2021) "Whole Genome Interpretation for a Family of Five" Frontiers in Genetics 12:535123
  • CPIC guidelines for pharmacogenomics
  • ClinVar / gnomAD / OMIM / COSMIC / KEGG for variant annotation

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wes Clinical Report Es AI skill do?

Generates professional clinical PDF reports in Spanish from WES (Whole Exome Sequencing) data with clinical interpretation, pharmacogenomic alerts, and follow-up recommendations.

Why use Wes Clinical Report Es on TypingMind?

Because you install it once and use it with any model. Wes Clinical Report Es is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wes Clinical Report Es in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ClawBio/ClawBio/tree/main/skills/wes-clinical-report-es. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wes Clinical Report Es?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wes Clinical Report Es?

As many as you like. As long as a model supports skills, you can use Wes Clinical Report Es with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wes Clinical Report Es AI skill free?

Yes. It is published on GitHub by ClawBio under the PROPRIETARY license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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