Skill UI

Performs comprehensive IoT device security assessments, combining hardware interface testing, firmware extraction, runtime exploitation, and network/cloud/mobile analysis to find vulnerabilities before deployment or for product reviews.

A guided workflow for auditing AWS Lambda, Azure Functions, and GCP Cloud Functions to catch permissive execution roles, exposed secrets, and missing runtime protections before deployment.

Hardens managed EKS, AKS, and GKE clusters by enforcing Pod Security Standards, network policies, RBAC scoping, image admission controls, workload identity, and runtime monitoring for cloud-specific IAM integrations.

Harden serverless compute on AWS Lambda, Azure Functions, and Google Cloud Functions by enforcing least-privilege IAM roles, moving secrets into vaults, scanning dependencies, validating inputs, securing function URLs, and monitoring runtimes so injections, credential theft, and supply-chain threats are caught before deployment.

Hono is a minimal and ultrafast web framework built entirely on Web Standards (Request/Response/fetch). It allows developers to build high-performance APIs and full-stack applications that run seamlessly across multiple environments, including Cloudflare Workers, Deno, Bun, and Node.js. It is ideal for edge deployment, Backend for Frontend (BFF) layers, and type-safe backend services.

Uses AWS Athena to define forensic tables and run queries against CloudTrail, VPC Flow, S3 access, and ALB logs, helping security teams detect unauthorized access, data exfiltration, lateral movement, and privilege escalation during incident investigations.

Executes training, fine-tuning, inference, and batch jobs on Modal’s zero-config GPU cloud so you just write Python, run `modal run`, and let Modal auto scale, manage secrets, and halt billing when finishes.

This skill provides advanced debugging capabilities for failing Power Automate cloud flows using the FlowStudio MCP server. Unlike the limited status codes from the standard Graph API, this tool gives agents deep, action-level inputs and outputs, allowing users to find the true root cause of failures. It is essential for diagnosing complex issues like expression failures, connector authentication errors, or internal run errors.

Process videos, audio, images, and documents on Transloadit’s cloud using 86+ robots to encode formats, generate thumbnails, resize/watermark, run OCR, speech-to-text, moderation, and chain multi-step pipelines for scalable media automation.

This skill guides the management of CI/CD pipelines within KubeSphere DevOps. It utilizes Kubernetes Custom Resources (CRs) to define, trigger, and monitor complex build workflows, seamlessly integrating with Jenkins concepts in a cloud-native manner. Use it for automating build, test, and deployment processes for applications running on Kubernetes.

Integrate with the DNAnexus cloud genomics platform to build apps/applets, manage FASTQ/BAM/VCF data, run workflows, and script automations via dxpy for biomedical pipelines.

Latch is a Python framework designed for building, deploying, and managing complex, serverless bioinformatics pipelines. It allows users to define workflows using decorators for native Python, Nextflow, or Snakemake, while providing robust tools for cloud data management (LatchFile/LatchDir) and precise resource allocation (GPU/CPU). Ideal for running large-scale analyses such as RNA-seq and protein structure prediction (AlphaFold).