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DrugClaw

Official

@drugclaw · Hong Kong

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1Public Repos
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30Published Skills

Offers specialized computational frameworks for bioinformatics, molecular docking, clinical research documentation, and pharmaceutical data analysis.

Skills Distribution
DomainBusiness, Fi...Bioinformatics & G.. (40%)Pharmaceutical R&D (30%)Clinical Complianc.. (20%)Document & Data Ma.. (10%)

Agent Skills by DrugClaw

Showing 30 vetted skills indexed across 1 GitHub repositories.

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126

target-intelligence-tools

Query public bioinformatics APIs to generate drug-target intelligence dossiers.

Official
Intermediate
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126

bayesian-optimization-tools

Automate Bayesian optimization workflows for experiment suggestion and parameter tuning.

Official
Advanced
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126

variant-analysis-tools

Analyze VCF/BCF files to summarize, filter, and triage genetic variants.

Official
Intermediate
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grn-tools

Infer gene regulatory networks from transcriptomics data using GRNBoost2 and GENIE3.

Official
Intermediate
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126

scientific-visualization-tools

Generate static and interactive scientific plots from research data using Python libraries.

Official
Intermediate
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126

stat-modeling-tools

Automate statistical modeling workflows with Python and statsmodels.

Official
Intermediate
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126

survival-analysis-tools

Perform Kaplan-Meier summaries, log-rank tests, and Cox proportional hazards models.

Official
Intermediate
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126

bio-tools

Guide reproducible bioinformatics workflows for sequence analysis and quality control.

Official
Advanced
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bio-db-tools

Query public biology databases and APIs for protein, variant, and pathway data.

Official
Intermediate
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126

scientific-workflow-tools

Guide scientific research methodology, hypothesis framing, and reproducibility planning.

Official
Intermediate
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126

omics-tools

Profile omics datasets by summarizing metrics from AnnData, BAM/CRAM, and mzML files.

Official
Intermediate
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126

literature-review-tools

Normalize citation data and assemble evidence matrices from CSV and JSON files.

Official
Intermediate
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126

apple-calendar

Query and create Apple Calendar events on macOS using icalBuddy and osascript.

Official
Intermediate
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xlsx

Create, edit, and analyze spreadsheet files with pandas and openpyxl.

Official
Advanced
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pdf

Extract text and tables from PDFs using Python libraries.

Official
Intermediate
DrugClawDrugClaw
126

find-skills

Search external skill registries and evaluate fit for DrugClaw.

Official
Basic
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126

apple-reminders

Manage Apple Reminders lists and tasks using the remindctl command-line tool.

Official
Intermediate
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126

skill-creator

Guide the creation and packaging of AI skills with best practices.

Official
Intermediate
DrugClawDrugClaw
126

github

Manage GitHub issues, pull requests, and CI runs via the gh CLI.

Official
Intermediate
DrugClawDrugClaw
126

pptx

Creates, edits, and analyzes PowerPoint (.pptx) presentations via Python scripts.

Official
Intermediate
DrugClawDrugClaw
126

weather

Retrieve current weather and short-term forecasts via wttr.in.

Official
Basic
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126

apple-notes

Manage Apple Notes via the `memo` CLI on macOS.

Official
Intermediate
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126

docx

Create and edit .docx files with formatting, tables, and images.

Official
Advanced
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126

clinical-research-tools

Guide clinical research protocol design, endpoint selection, and reporting guideline adherence.

Official
Intermediate

Frequently Asked Questions About DrugClaw

FAQPage Schema
What specific research tasks can DrugClaw perform?

DrugClaw enables complex bioinformatics tasks including VCF variant analysis, gene regulatory network inference, molecular docking simulations, and clinical cohort profiling. It also supports regulatory compliance by providing frameworks for medical device QMS gap assessments against ISO 13485 and FDA QMSR standards.

Who is the target persona for these technical capabilities?

The primary users are computational biologists, pharmaceutical researchers, and clinical data scientists. These professionals utilize the registry to standardize research methodologies, manage large-scale omics datasets, and ensure rigorous documentation adherence for clinical trials and medical device development.

What are the prerequisites for running these bioinformatics and clinical modules?

Execution requires a local environment configured for scientific computing, specifically supporting libraries for molecular featurization, DICOM inspection, and statistical modeling. Users must ensure access to relevant public biology databases and maintain local compatibility with standard file formats like VCF, BAM, CRAM, and mzML.