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blockchain computational chemistry AI Skills

Discover blockchain computational chemistry skills, compare source repositories and read the instructions for each workflow.

Categories: blockchain computational chemistry

Showing 385–408 of 879

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GitHub

malware-triage

gl0bal01

Systematic malware triage and initial assessment workflow for professional malware analysis. Use when the user needs to perform initial malware assessment, classify samples, determine analysis priority, identif...

GitHub

detection-engineer

gl0bal01

Create detection rules and hunting queries from malware analysis findings. Use when you need to write Sigma rules for SIEM, Suricata rules for network IDS, defang IOCs for safe sharing, or convert analysis find...

GitHub

evaluation-harness

patricio0312rev

Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmark...

GitHub

threat-model-generator

patricio0312rev

Creates comprehensive threat models using STRIDE methodology with asset identification, threat enumeration, mitigation strategies, and residual risk assessment. Use for "threat modeling", "security analysis", "...

GitHub

structural-biology

justaddcoffee

Structural biology analysis including protein structure validation, AlphaFold interpretation, and structural comparisons

GitHub

check

lhl

Full Reality Check analysis - fetch source, perform 3-stage analysis, extract claims, register to database, and validate. The flagship command for rigorous source analysis.

GitHub

clinical-trial-matcher

mdbabumiamssm

Matches patient profiles to open clinical trials using vector similarity and inclusion/exclusion criteria. Use when a user provides patient data and asks for relevant trials.

GitHub

regulatory-drafter

mdbabumiamssm

Drafts regulatory documents (FDA, EMA) with audit trails and specific "Thinking Block" reasoning. Use for high-stakes compliance writing.

GitHub

crispr-designer

mdbabumiamssm

Designs guide RNA (gRNA) sequences for CRISPR-Cas9 editing, including off-target analysis. Use when a user needs to edit a gene or asks for gRNA sequences.

GitHub

chemcrow-tools

mdbabumiamssm

A production-grade cheminformatics toolkit for analyzing molecular properties, toxicity, and synthetic accessibility.

GitHub

isms

ssiumha

ISMS-P 인증 준비 지원. 항목 조회, 체크리스트 생성, 이행 계획 수립.

GitHub

rd-management

travisjneuman

R&D management expertise for R&D portfolio management, technology roadmapping, research methodology, patent strategy, lab management, academic partnerships, and regulatory pathways. Use when managing research p...

GitHub

gene-set-enrichment

monarch-initiative

Perform gene set enrichment analysis using AI research providers. Analyzes lists of genes to identify biological themes, pathways, and functional associations.

GitHub

denario

jackspace

Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing re...

GitHub

geniml

jackspace

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), buil...

GitHub

gtars

jackspace

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment...

GitHub

pyopenms

jackspace

Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal pro...

GitHub

hypogenic

jackspace

Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses...

GitHub

understand

agoodway

Multi-specialist collaborative analysis to understand how features, functions, or components work

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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