Quantum workflows require careful circuit design, simulation, optimization, and provider setup. This skill provides practical Cirq guidance for simulators, noise studies, experiments, and hardware execution.

Drug discovery teams need reliable access to compound, target, and bioactivity records. This skill guides focused ChEMBL queries, structure searches, and result interpretation.

Technical commit messages make release notes slow and difficult to understand. This skill groups relevant commits and rewrites them as clear, structured changelogs.

Population-scale single-cell queries can exceed memory or produce duplicated counts. This skill provides focused, reproducible query patterns for CELLxGENE Census analysis.

Quality teams need consistent CAPA investigations, action plans, and effectiveness checks. This skill structures root cause analysis, preventive actions, metrics, and compliance-focused reporting.

Bioinformatics research often requires separate interfaces for proteins, pathways, compounds, and identifiers. This skill guides unified BioServices workflows across major biological databases.

Complex biomedical analyses require coordinated reasoning, data access, and reproducible reporting. Biomni guides an autonomous agent through these multi-step research workflows.

Astronomy workflows require careful handling of units, coordinates, time scales, and specialized formats. This skill provides practical Astropy guidance for accurate, efficient analysis.

Complex interactive artifacts require more structure than a single HTML file. This skill scaffolds React projects and bundles them into self-contained HTML artifacts.

API integrations often fail because authentication, retries, and rate limits are incomplete. This skill guides robust clients, OAuth flows, webhook verification, and operational checks.

Gene expression analysis requires careful data preparation, algorithm selection, and resource planning. This skill creates practical Arboreto workflows for reproducible local or distributed inference.

Annotated biological matrices are complex to build, combine, and store efficiently. This skill provides practical AnnData patterns for reliable Python workflows.

Finding and interpreting predicted protein structures requires several APIs, formats, and confidence measures. This skill organizes AlphaFold DB retrieval, downloads, confidence analysis, and bulk workflows.

General machine-learning methods often miss temporal structure and specialized evaluation needs. This skill guides Aeon model selection, preprocessing, training, and benchmarking for time series tasks.

Frontend teams need consistent Angular component structure and visual styling across the Guessimate UI. This skill provides practical standards for components, state, Tailwind CSS usage, colors, cards, and typography.

Feature work often starts with unclear scope, hidden risks, and scattered tasks. This skill creates an approval-ready plan before implementation begins.

WiFi teams need fast visibility into network health, client quality, and access point load. This skill guides Claude, Codex, and Claude Code through UniFi WiFi analysis workflows.

Manual VM template work can create slow deployments and inconsistent Proxmox images. This skill guides reusable templates for Cloud-Init, Kubernetes, and application workloads.

Proxmox operators need a structured way to inspect and control VM fleets. This skill guides lifecycle actions, configuration review, cloning, resource tuning, and operations planning.

Network teams need a fast way to understand bandwidth use and application mix. This skill guides Claude, Codex, and Claude Code through DPI, client, and device traffic analysis workflows.