Loading...
Loading...
Found 2,035 Skills
Deploys and operates containerized workloads on ECS, Fargate, and ECR. Covers task definitions, Fargate services, ECR repository setup and lifecycle policies, ECS Exec debugging, service scaling, deployment strategies, load balancer integration, and logging configuration. Use when deploying, debugging, or optimizing containers on AWS. ALSO USE for container deployment options (ECS vs ECS Express Mode), networking modes, health check troubleshooting, OOM errors, secrets injection, blue/green deployments, ECR image management, and App Runner sunset guidance and migration. NOT for Kubernetes, EKS, or CI/CD pipelines.
Install and bootstrap a Coder (coder/coder) deployment end-to-end from the CLI without the web UI. Covers quick-start (one machine, auto-tunnel URL) and production (real domain, TLS, wildcard, OIDC, external provisioner). Drives GitHub device-code on fresh deployments to sign the first admin in without a browser, falls back to email/password for scripted runs, pushes a starter template, and optionally creates a first workspace. Activate when the user says: "install Coder", "set up Coder", "deploy Coder", "bootstrap Coder", "run Coder in Docker / on Kubernetes / on a VM", "Coder on AWS / GCP / Azure", "put Coder behind HTTPS / Caddy / nginx / cert-manager", "wildcard domain", "headless / non-interactive setup", "create the first admin from the CLI", "push a starter template", or "create my first workspace". Also activate for /coder:setup. Do NOT activate for upgrading an existing deployment, editing an existing template, debugging a running server, or configuring OIDC / custom OAuth on a running deployment.
Pre-production audit that scans a codebase for security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues. Intercepts deploy commands and blocks until critical items pass. Stack-agnostic. Use for "run ship gate", "am I ready to ship", "pre-launch audit", "can I deploy", "push to production", "go live checklist", "preflight check". Not for CI/CD setup or infra provisioning.
Package and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, GitHub, or ComfyUI model to run on Replicate. Trigger on phrases like "build a model", "package a model", "create a Cog model", "wrap a model", "containerize an AI model", "predict.py", "cog.yaml", "BasePredictor", or "Cog container", and when referencing cog.run, github.com/replicate/cog, or github.com/replicate/cog-examples. Covers GPU and CUDA setup, pget for fast weight downloads, async predictors with continuous batching, streaming outputs, and cold-boot optimization for image, video, audio, and LLM models. For pushing built models to Replicate, see publish-models. For running existing models, see run-models.
Salesforce DevOps automation using sf CLI v2. TRIGGER when: user deploys metadata, creates/manages scratch orgs or sandboxes, sets up CI/CD pipelines, or troubleshoots deployment errors with sf project deploy. DO NOT TRIGGER when: writing Apex code (use generating-apex), building LWC components (use generating-lwc-components), creating metadata definitions (use generating-custom-object or generating-custom-field), or querying org data (use handling-sf-data).
Deploy, debug, or tear down any VSS profile using a compose-centric workflow — config (dry-run) with env overrides, review resolved compose, then compose up. Use this skill when the user says "deploy vss", "deploy `profile`", "debug deploy", "verify deployment", or "why is my vss deploy broken".
Generate Harness Infrastructure Definition YAML for deployment targets and create via MCP. Use when user says "create infrastructure", "infrastructure definition", "k8s cluster config", "deployment target", or wants to configure where workloads run.
Diagnose failed or unhealthy Dynamo deployments. Use when pods, model-cache jobs, PVCs, workers, frontend/router health, endpoints, or benchmark jobs fail; use recipe-runner/router-starter before this for normal bring-up.
Use this skill when users need to create, generate, or validate Salesforce Custom Object metadata. Trigger when users mention custom objects, creating objects, object metadata, .object files, sharing models, name fields, or validation rules on objects. Also use when users say things like "create a custom object", "generate object metadata", "set up an object for...", or when they're troubleshooting object deployment errors especially around sharing models and Master-Detail relationships. Always use this skill for any custom object metadata work, including enriching and keeping the object's description current whenever its fields or validation rules change. Do NOT use this skill for non-Custom-Object metadata (Apex, Flows, LWC, Permission Sets, Custom Metadata Types) or for standard Salesforce objects.
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.
Deploy and manage Supabase Edge Functions. Use for invoking serverless functions, deploying new functions, and managing function deployments.
Apply billing and security best practices for payment/auth integrations. Invoke when: setting up Stripe/Clerk/auth, debugging payment issues, configuring webhooks, before prod deployment, after billing incidents.