---name: autonomous-oncology-agent

Expert knowledge for deploying, managing, and troubleshooting AWS Elastic Beanstalk applications with production best practices

Build automated CI/CD pipelines with CodePipeline and CodeBuild

Amazon Elastic Kubernetes Service (EKS) for running Kubernetes on AWS. Use for container orchestration, deploying applications, managing clusters, and Kubernetes workloads on AWS.

AWS S3 object storage for bucket management, object operations, and access control. Use when creating buckets, uploading files, configuring lifecycle policies, setting up static websites, managing permissions, or implementing cross-region replication.

Implement comprehensive AWS security controls and compliance

To run an exact AWS CLI command, execute a validated `aws ...` command for direct AWS operations when you already know the precise service and parameters; use instead of suggesting commands.

To get possible AWS CLI commands from a natural-language request, suggest candidate `aws ...` commands when the exact service, operation, or syntax is unclear; use before call-aws.

Use when researching Apple frameworks, APIs, or WWDC sessions - provides techniques for retrieving full transcripts, code samples, and documentation using Chrome browser and sosumi.ai

Reference — AVFoundation audio APIs, AVAudioSession categories/modes, AVAudioEngine pipelines, bit-perfect DAC output, iOS 26+ spatial audio capture, ASAF/APAC, Audio Mix with Cinematic framework

Use when implementing on-device AI with Apple's Foundation Models framework — prevents context overflow, blocking UI, wrong model use cases, and manual JSON parsing when @Generable should be used. iOS 26+, macOS 26+, iPadOS 26+, axiom-visionOS 26+

Apple platform typography reference (San Francisco fonts, text styles, Dynamic Type, tracking, leading, internationalization) through iOS 26

Expert guidance for Axum 0.8.x web framework development in Rust. Use when working with Axum 0.8+, migrating from 0.7 to 0.8, or when users mention path parameter syntax issues, async_trait problems, or Option extractor changes.

Build document analysis applications with Azure Document Intelligence (Form Recognizer) SDK for Java. Use when extracting text, tables, key-value pairs from documents, receipts, invoices, or building custom document models.

Comprehensive Azure AI skill for building, configuring, troubleshooting, and managing all Azure AI services. Covers Azure AI Foundry, Azure OpenAI Service, Azure AI Search, Azure AI Agents, Document Intelligence, Cognitive Services (Vision, Speech, Language), Azure Machine Learning, Content Safety, and Responsible AI. Use when working with AI workloads, LLM deployments, vector search, RAG patterns, multi-agent orchestration, or any Azure AI service.

Connect to and interact with Azure Blob Storage (ADLS Gen2). Use when working with Azure blob storage, listing containers, reading files, uploading data, or when user mentions Azure storage, blob containers, or ADLS. Handles authentication, container operations, and blob management.

Create Azure DevOps dashboards with widgets and metrics. Use when visualizing project metrics or creating team dashboards.

Complete Azure DevOps automation - boards, repos, pipelines, artifacts

Design Azure release pipelines with deployment strategies and rollback. Use when creating release automation or deployment strategies.

Comprehensive expertise for Azure Static Web Apps including architecture, configuration, API integration with Azure Functions, authentication, routing, deployment, and CI/CD. Use when building, configuring, deploying, or troubleshooting Azure Static Web Apps projects with frameworks like React, Angular, Vue, Blazor, or vanilla JavaScript.

Manage Azure Pipeline variable groups and library secrets. Use when organizing pipeline variables or managing configuration.

Implement hooks using HookMgr and extension points in B2C Commerce. Use when extending OCAPI/SCAPI behavior, handling system events like order calculation, or registering custom hook implementations. Covers hooks.json, dw.ocapi hooks, and custom extension points.

Business analysis methodologies, requirements engineering, RACI matrices, user stories for Pulse Radar.

This skill guides Backblaze B2 Cloud Storage integration with OpenTofu/Terraform and B2 CLI. Use when managing B2 buckets, application keys, file uploads, lifecycle rules, or S3-compatible storage.

backend-core

API design, database patterns, REST/GraphQL, microservices architecture, and backend best practices

Production-ready backend API implementation patterns including REST, GraphQL, authentication, error handling, and data validation

Organizes a flat backend directory structure into a clean, modular architecture with proper Python packages and updated import paths. Transforms a flat backend structure into a modular, organized architecture following Python best practices.

To remove a finished background process from the manager list, clear a stopped process after it exits so it no longer appears in listings.

To check if the Background Process Manager is running, get the server status and confirm it is available.

To see all managed background jobs, list processes so you can find their IDs, states, and names.

To run a short command and wait for the result, execute a synchronous shell command via the manager and return full output.

To start a long-running background task, launch a managed process such as a server or watcher and keep it tracked.

To stop a managed background task, terminate a running process by ID to shut it down cleanly.

Remove backgrounds from images using segmentation. Support for color-based, edge detection, and AI-assisted removal methods. Batch processing available.

Create and manage long-running background processes with start/stop/status controls, logging, and monitoring. Use for batch processing jobs, data pipelines, continuous services, or any long-running tasks.

Expert guidance for Backlog.md CLI project management tool including task creation, editing, status management, acceptance criteria, search, and board visualization. Use this when managing project tasks, creating task lists, updating task status, or organizing project work.

Deployment workflows, file management, and project organization for Universe 2025 (Tufty) Badge. Use when deploying apps to MonaOS, managing files on device, syncing projects, organizing code, or setting up deployment pipelines.

This skill should be used when building portfolio dashboards, implementing balance checking, or adding multi-chain holdings views. Covers balances, holdings, and valuations across chains.

Transform content into professional slide deck images with flexible style options.

Achieve comprehensive baseline (V_meta ≥0.40) in iteration 0 to enable rapid convergence. Use when planning iteration 0 time allocation, domain has established practices to reference, rich historical data exists for immediate quantification, or targeting 3-4 iteration convergence. Provides 4 quality levels (minimal/basic/comprehensive/exceptional), component-by-component V_meta calculation guide, and 3 strategies for comprehensive baseline (leverage prior art, quantify baseline, domain universality analysis). 40-50% iteration reduction when V_meta(s₀) ≥0.40 vs <0.20. Spend 3-4 extra hours in iteration 0, save 3-6 hours overall.

Universal bash CLI patterns for colors, logging, headers, and error handling

Use when creating or editing any bash script (.sh) - ensures shellcheck passes after every edit with zero warnings

The batch is the atomic unit - UI patterns centered around batch management

Batch effect correction for CRISPR screens. Covers normalization across batches, technical replicate handling, and batch-aware analysis. Use when combining screens from multiple batches or correcting systematic technical variation.

Download large datasets from NCBI efficiently using history server, batching, and rate limiting. Use when performing bulk sequence downloads, handling large query results, or production-scale data retrieval.

Validate production batch execution - trigger daily runs and analyze traces for architecture completeness and result quality

Implement robust batch processing systems with job queues, schedulers, background tasks, and distributed workers. Use when processing large datasets, scheduled tasks, async operations, or resource-intensive computations.

Manages context across sessions and compactions using TLDR summaries and structured documentation.

Session lifecycle and system operations. Use when creating sessions, saving state, getting dashboard data, or running system queries.