DevOps & Infra

cyberstrikeus Skill

Ensure VPC Security is Configured

cyberstrikeus Skill

Ensure Encryption at Rest is Enabled

cyberstrikeus Skill

Ensure Encryption in Transit is Enabled

cyberstrikeus Skill

Ensure to Implement Access Control and Authentication

cyberstrikeus Skill

Ensure Audit Logging is Enabled

cyberstrikeus Skill

Ensure Regular Updates and Patches

cyberstrikeus Skill

Ensure to Implement Monitoring and Alerting

cyberstrikeus Skill

Ensure to Implement Backup and Disaster Recovery

cyberstrikeus Skill

Ensure Keyspace Security is Configured

cyberstrikeus Skill

Ensure Network Security is Enabled

cyberstrikeus Skill

Ensure Data at Rest and in Transit is Encrypted

cyberstrikeus Skill

Ensure Amazon Keyspaces tables have Point-in-Time Recovery (PITR) enabled

cyberstrikeus Skill

Ensure Network Security is Enabled

cyberstrikeus Skill

Ensure Data at Rest is Encrypted

cyberstrikeus Skill

Ensure Data in Transit is Encrypted

cyberstrikeus Skill

Ensure Authentication and Access Control is Enabled

cyberstrikeus Skill

Ensure Audit Logging is Enabled

cyberstrikeus Skill

Ensure Security Configurations are Reviewed Regularly

cyberstrikeus Skill

Ensure Monitoring and Alerting is Enabled

cyberstrikeus Skill

Ensure Neptune Database is not Publicly accessible

cyberstrikeus Skill

Ensure Neptune Database has automatic backups enabled

cyberstrikeus Skill

AWS Storage Backups

cyberstrikeus Skill

Ensure securing AWS Backups

cyberstrikeus Skill

Ensure to create backup template and name

cyberstrikeus Skill

Ensure to create AWS IAM Policies

cyberstrikeus Skill

Avoid non-default bindings to system:authenticated (Automated)

holobiomicslab Skill

Use when your LC-HRMS metabolomics data (.mzML or .abf files) must be processed reproducibly across multiple machines (local workstations, HPCs, cloud) without manual tool installation, or when you need to enforce identical computational environments for peer review and long-term archival.

holobiomicslab Skill

Use when a practitioner has pre-computed features from an external feature-finding procedure (e.g., vendor software, alternative open-source tools) and wishes to incorporate them into PFΔScreen's PFAS prioritization pipeline without re-detecting features from raw mzML data.

holobiomicslab Skill

Use when you have GNPS-style MGF spectral files as input and need to run Mass2SMILES MS/MS-to-structure inference without installing TensorFlow, CUDA, or Python dependencies locally.

holobiomicslab Skill

Use when you have raw nontargeted LCMS feature tables from one or more analytical methods in tabular format (with m/z, RT, and intensity columns) that need to be aligned or clustered, or when integrating multiple feature tables into a shared BMXP processing pipeline that requires standardized.

holobiomicslab Skill

Use when after generating a complete lipid spectral library with adduct-specific fragmentation patterns and retention time metadata, when you need to deploy the library for targeted or data-dependent acquisition on specific mass spectrometry instruments—either Excalibur-controlled orbitrap.

holobiomicslab Skill

Use when you have raw LCMS data in mzML format and a feature table (CSV) from a peak detection pipeline (e.g., MZmine) and need to prepare these inputs for NeatMS preprocessing, batch creation, or peak classification. This skill is the mandatory entry point for any NeatMS workflow.

holobiomicslab Skill

Use when after completing dereplication and cosine similarity clustering in the MolNotator pipeline, when you have finalized molecular network data with molecule–ion relationships and need to visualize, analyze, or share the network in external software.

holobiomicslab Skill

Use when beginning an LC-MS data analysis pipeline and you need to rapidly inspect instrument metadata, acquisition parameters, or scan statistics from proprietary Thermo .raw files without the I/O overhead of loading full spectra.

holobiomicslab Skill

Use when you have 1D ¹H or ¹³C NMR spectra from an unknown organic compound and need to predict its molecular formula (e.g., C₆H₁₂O₂). The compound must contain ≤19 heavy (non-hydrogen) atoms. Use this as the first stage of a structure elucidation pipeline before predicting molecular connectivity.

holobiomicslab Skill

Use when when you need to deploy a containerized scientific tool (e.g., CloMet) for the first time on a local machine or CI/CD environment, and the project provides a Dockerfile and GitHub repository.