Skill UI

Automates TwinMind API testing by integrating workflow steps into GitHub Actions and GitLab CI pipelines, covering unit, integration, and smoke tests.

Configures GitHub Actions workflows to run Vast.ai integration, release, and coverage tests while handling secrets and branch protections so teams can automate their CI/CD pipelines around Vast.ai services.

Set up Vercel CI/CD workflows using GitHub Actions to run automated tests, generate coverage, and manage release pipelines.

Deploy Vercel-powered apps to production across Vercel, Fly.io, and Cloud Run, managing platform secrets, pipelines, and health checks as part of the deployment workflow.

Streamlines configuring Vercel deployments across development, staging and production by defining environment-specific configs, detection logic, secret management, and production guards for CI/CD pipelines.

Implements Vercel lint rules, policy enforcement, and automated guardrails for projects with ESLint, pre-commit hooks, and CI/CD pipelines to ensure code quality and runtime safety.

Biopython provides Python APIs for sequence manipulation, database access, BLAST automation, structural bioinformatics, and phylogenetics, making it ideal for scripting custom pipelines and batch processing in computational molecular biology workflows.

LatchBio Integration provides a Python-first platform to compose, deploy, and monitor serverless bioinformatics pipelines with the Latch SDK, decorator-based tasks, cloud storage (LatchFile/Dir), GPU tuning, and Nextflow or Snakemake interoperability.

Polars is a blazing fast in-memory DataFrame library based on Apache Arrow that replaces pandas for 1-100GB workloads, offering expression-based lazy execution, parallel operators, and rich I/O for ETL pipelines.

PyOpenMS provides Python bindings for OpenMS to drive complete mass spectrometry workflows, covering data IO, spectral processing, feature/peptide-protein identification, quantitation, and metabolomics pipelines.

Cloud-native Rowan orchestrates medicinal chemistry and molecular modeling pipelines via a Python API, offering pKa prediction, docking, descriptors, dynamics, and AI-driven structure workflows for scalable batch screening without local HPC.

Apify Actorization is a process that transforms existing, standalone software or scripts (like CLI tools) into standardized, reusable serverless applications called Actors. Actors are packaged as Docker images, accepting structured JSON inputs and producing structured JSON outputs. This skill guides developers on migrating projects to the Apify platform, ensuring compatibility, and enabling scalable, event-driven data processing pipelines.