Results for “dep”

Reference for the Agent Script language used in Salesforce Agentforce, covering syntax, deployment methods, and troubleshooting.

Analyzes code directories to produce C4 code-level documentation with function signatures, dependencies, and structure.

Forces investigation of file dependencies before editing code to prevent cascade failures.

Map symbol dependencies, callers, and blast radius before editing code. Load when the user asks what depends on a symbol, what breaks if they change something, blast radius of a change, reverse dependencies, or which tests cover a function. Also triggers on "who calls this", "impact of changing", "dependency map", "what uses this", "find callers", or before any non-trivial edit when safe-change is not yet active. Pairs with codebase-understanding for broad architecture; this skill is symbol-scoped and edit-gated.

Coordinate staged releases across Stripe, Supabase, and Vercel from the shell using the Composio CLI. One script kicks off the whole 'ship it' sequence: product/price updates, DB migrations, frontend deploy, smoke checks, changelog post.

ML pipeline design — data versioning, experiment tracking, deployment patterns, drift monitoring. Use when building an ML pipeline from data to deployment, setting up MLOps tooling (DVC, MLflow, model registry), choosing deployment patterns (shadow, canary, A/B), or designing monitoring for drift and degradation.

Deploy Expo web apps and API routes to EAS Hosting (Cloudflare Workers), including export, deployment, environment secrets, custom domains, and authoring API routes with HTTP methods, CORS, and error handling.

Designs and implements CI/CD pipelines with automated testing, build automation, deployment, and rollback strategies.

Configures ArgoCD for GitOps-based Kubernetes deployments, including installation, project and application setup, and Kustomize overlays for multi-environment management.

Deprecated compatibility shim for team execution

C4 Container Level: System Deployment

Structure software around the Dependency Rule so that source code dependencies point inward from frameworks to use cases to entities, keeping business rules independent of databases, UI, and external agencies.

Containerizes applications and deploys them to Google Kubernetes Engine (GKE) with Dockerfiles, manifests, and best practices.

Provides production-grade Kubernetes YAML patterns and kubectl debugging commands for deploying, managing, and debugging workloads reliably.

Deploy and verify smart contracts on Base with Foundry, including testnet faucet access, encrypted keystore management, and BaseScan verification.

Build and manage Convex backends: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.

Analyzes codebases to map entry points, execution flows, architecture layers, patterns, and dependencies before new development begins.

Orchestrates Python data pipelines with Prefect flows, tasks, retries, caching, parallel execution, and deployments to work pools.

Deploy Flutter backends to OVHCloud using Managed Kubernetes, Object Storage, and Terraform, with CLI and infrastructure-as-code examples.

Analyzes code directories to produce C4 code-level documentation with function signatures, dependencies, and structure diagrams.

Generate operational runbooks from a service name — deployment, incident response, maintenance, and rollback workflows. Templated structure customizable per environment.

Provides a structured pre-launch checklist, staged rollout plan, monitoring setup, and rollback strategy for safe production deployments.

Discovers available Azure OpenAI model capacity across regions and projects, analyzes quota limits, and recommends optimal deployment locations.

Guides building original LangGraph agents for Warden Protocol, from setup to deployment and publishing in Warden Studio.

Deploy and scale Python AI/ML workloads on Modal's serverless cloud, including GPU compute, web endpoints, scheduled jobs, and persistent storage.

Implements gradual traffic shifting, automated canary deployments with metric analysis, rollback automation, and observability dashboards for progressive releases.

Write idiomatic C# code using .NET features, async/await, LINQ, SOLID principles, dependency injection, and unit tests.

Deploy and manage a Linkerd service mesh on Kubernetes, including mTLS, traffic splitting, retries, timeouts, and observability.

Manages env0 infrastructure-as-code environments via the env0 API, covering discovery, deployment, cost tracking, variables, and policies.

Manages Wing applications by compiling, testing, simulating locally, and deploying to cloud targets, with resource inspection and console usage.

Deploys web apps with backend APIs, database, and file storage to a public URL via the AppDeploy HTTP API.

MLOps lead for deployment, monitoring, and scaling. Use when the user asks to talk to McGonagall, requests deployment help, or needs CI/CD for AI systems.

Neon serverless Postgres with autoscaling, instant database branching, and zero-downtime deployments. Use when building serverless applications, implementing database branching for dev/staging, or deploying with Vercel/Netlify.

Power BI Report (PBIR) Deploy Only

Ad-Hoc Raw Upload to Databricks

Assists with building and deploying full-stack serverless applications on AWS using SST. Use when defining Lambda functions, API Gateway routes, DynamoDB tables, S3 buckets, or deploying Next.js/Remix/Astro with SSR on AWS. Trigger words: sst, serverless stack, sst dev, sst deploy, aws lambda, sst ion, resource linking.