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Found 2,020 Skills
Use when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
Full-stack PlantUML expert: create PUML from descriptions, convert images to PUML (vision reverse engineering), render locally (PNG/SVG/PDF) with no internet. macOS/Windows/Linux; auto-installs PlantUML+Java+Python. Covers all 27 chapters of the PlantUML Language Reference Guide v1.2025.0 (607 pages): Sequence, Use Case, Class, Object, Activity (legacy+new), Component, Deployment, State, Timing, JSON, YAML, nwdiag, Salt/Wireframe, Archimate, Gantt, MindMap, WBS, Maths, ER, Common Commands, Creole, Sprites, Skinparam, Preprocessing, Unicode, StdLib (C4/AWS/Azure/K8s/ArchiMate). Use for: draw a diagram, create PUML, convert image to PUML, render .puml, debug PUML, explain PlantUML syntax, any UML task.
Salesforce data operations with 130-point scoring. Use this skill to create, update, delete, bulk import/export, generate test data, and clean up org records using sf CLI and anonymous Apex. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, needs data factory patterns for Apex tests, or needs to seed/clean records in a Salesforce org. DO NOT TRIGGER when: SOQL query writing only (use platform-soql-query), Apex test execution (use platform-apex-test-run), or metadata deployment (use platform-metadata-deploy).
Use this skill to manage the full lifecycle of a DevOps Center pipeline — list all pipelines, get a single pipeline's details, create a new pipeline linked to a Git repository, add or remove stages, rename a stage, add or remove Salesforce environments on stages, attach or detach projects, and activate or deactivate the pipeline. Invoke when the user wants to set up a release pipeline, wire promotion stages across integration, UAT, staging, and production orgs, connect environments to stages, attach a project, or activate a continuous delivery pipeline. Uses sf devops pipeline and sf devops stage commands with --json output. DO NOT TRIGGER for work-item lifecycle, promotion or deployment execution, conflict detection, or standalone project creation (separate skills).
Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems.
Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment
Check dependencies for known vulnerabilities using npm audit, pip-audit, etc. Use when package.json or requirements.txt changes, or before deployments. Alerts on vulnerable dependencies. Triggers on dependency file changes, deployment prep, security mentions.
Workflows for generating terraform solution that are the composition of one or several Terraform IBM Modules (TIM). Use when working with IBM Cloud infrastructure as code, Terraform modules, infrastructure automation, or cloud resource provisioning. Provides workflows for module discovery, composition patterns, code generation, and validation. Essential for tasks involving IBM Cloud VPC, compute, networking, security, databases, observability, or any IBM Cloud service deployment. Triggers on keywords like "terraform", "IBM Cloud", "infrastructure", "IaC", "modules", "deploy", "provision", or specific IBM Cloud services (VPC, VSI, OpenShift, etc.).
Kubernetes operations including deployment, management, troubleshooting, kubectl mastery, and cluster stability. Covers K8s workloads, networking, storage, and debugging pods. Use when user mentions Kubernetes, K8s, kubectl, pods, deployments, services, ingress, ConfigMaps, Secrets, or cluster operations.
Provides comprehensive Google Cloud Platform (GCP) guidance including Compute Engine, Cloud Storage, Cloud SQL, BigQuery, GKE (Google Kubernetes Engine), Cloud Functions, Cloud Run, VPC networking, load balancing, IAM, Cloud Build, infrastructure as code (Terraform, Deployment Manager), security configuration, cost optimization, and multi-region deployment. Produces infrastructure code, deployment scripts, configuration guides, and architecture designs. Use when deploying to Google Cloud, designing GCP infrastructure, migrating to GCP, configuring GCE instances, setting up Cloud Storage, managing Cloud SQL databases, working with BigQuery, deploying to GKE, or when users mention "Google Cloud", "GCP", "Compute Engine", "Cloud Storage", "BigQuery", "GKE", "Cloud Run", "Cloud Functions", "VPC", "Cloud SQL", or "Google Cloud Platform".
Configure Databricks across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or implementing environment-specific Databricks configurations. Trigger with phrases like "databricks environments", "databricks staging", "databricks dev prod", "databricks environment setup", "databricks config by env".
Security audit for vulnerabilities, compliance issues, and sensitive data exposure. Use before production deployments or when reviewing security-sensitive code.