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Found 1,317 Skills
MUST activate when the project contains a uiBundles/*/src/ directory or sfdx-project.json and the task involves deploying, pushing to an org, or post-deploy setup. Use this skill when deploying a UI bundle app to a Salesforce org. Covers the full deployment sequence: org authentication, pre-deploy build, metadata deployment, permission set assignment, data import, GraphQL schema fetch, and codegen. Activate when files like *.uibundle-meta.xml or sfdx-project.json exist and the user mentions deploying, pushing, org setup, or post-deploy tasks.
Evaluates accuracy of quantized or unquantized LLMs using NeMo Evaluator Launcher (NEL). Triggers on "evaluate model", "benchmark accuracy", "run MMLU", "evaluate quantized model", "accuracy drop", "run nel". Handles deployment, config generation, and evaluation execution. Not for quantizing models (use ptq) or deploying/serving models (use deployment).
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.
Measure and improve the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For deployment, use agent-platform-deploy.
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.
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.
Configure LLM models and providers for Letta agents and servers. Use when setting model handles, adjusting temperature/tokens, configuring provider-specific settings, setting up BYOK providers, or configuring self-hosted deployments with environment variables.
Deploy ERC20 tokens on Base, Ethereum, Arbitrum, and other EVM chains using the Clanker SDK. Use when the user wants to deploy a new token, create a memecoin, set up token vesting, configure airdrops, manage token rewards, claim LP fees, or update token metadata. Supports V4 deployment with vaults, airdrops, dev buys, custom market caps, vanity addresses, and multi-chain deployment.
Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment
Deploy your Flutter app to the App Store and Google Play with ease using this step-by-step guide covering installation, project setup, Fastlane integration, and automated deployments with Automator.
Expert-level ArgoCD GitOps deployment, application management, sync strategies, and production operations
Guides the agent through running and configuring ASGI servers (Uvicorn, Granian, Hypercorn) for Python web applications. Triggered when users say "run a FastAPI app", "configure uvicorn", "set up ASGI server", "deploy with uvicorn", "configure workers", "set up SSL/TLS", "run development server", "configure hot reload", or mention ASGI server, production deployment, server configuration, uvicorn, granian, or hypercorn.