Results for “dep”

Automates CI/CD pipeline setup, quality gates, test runners, and deployment strategies for GitHub Actions.

Generate infrastructure code (Bicep/Terraform), azure.yaml, and Dockerfiles for Azure deployment, with a mandatory planning workflow.

Plan, debug, tune, evaluate, export, or deploy public Nemotron embedding and reranking retrieval recipes using the current checkout.

Deploy, inspect, log-tail, snapshot, and troubleshoot AEM Rapid Development Environments using the Adobe I/O CLI plugin.

Runs a Trailmark summary analysis on a codebase to auto-detect languages, count entry points, and list dependencies.

Deploy honeytokens and canarytokens as decoy artifacts to detect intrusions with near-zero false positives.

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow.

Guides securing and deploying the Dify platform in production, covering SSRF protection, code sandboxing, Docker/Kubernetes deployment, monitoring, and recovery.

Bootstraps a local Python environment for a skill package by creating a venv and installing dependencies with a stdlib-only script.

Design schemas, write TypeScript functions, and manage real-time subscriptions, auth, file storage, scheduling, and deployment for Convex backends.

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

Provides a sandboxed execution environment for running code snippets, automating tasks, and deploying logic across multiple languages with resource capping and network isolation.

Manages the machine learning lifecycle with experiment tracking, model versioning, reproducible runs, and deployment through the MLflow platform.

Design schemas, write TypeScript functions, and manage real-time data, auth, storage, scheduling, and deployment for Convex backends.

Scores generated text for morphosyntactic well-formedness by measuring how closely it adheres to language-specific dependency rules extracted from treebanks.

Next.js environment variable management with file precedence, variable types, and deployment configurations. Use when configuring Next.js applications, managing environment-specific settings, or deploying to Vercel/Railway/Heroku.

This skill should be used when building token launch tools, implementing Clanker integration, or adding fee claiming functionality. Covers ERC20 deployment, metadata updates, and trading fees.

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.

Deploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.

Plans and coordinates the deployment of a model to Amazon SageMaker AI, selecting the appropriate pathway (real-time, serverless, async, batch, or Bedrock CMI) based on model type, traffic, latency, and cost constraints.

Run pre-deployment validation checks for Azure readiness, including configuration, infrastructure (Bicep or Terraform), RBAC role assignments, and managed identity permissions.

Deploy the AutoMagicCalib microservice and web UI from pre-built NGC release images using Docker Compose.

Validates Bicep deployments to Azure before execution, including syntax checks, what-if analysis, and permission verification.

Deploy, manage, or withdraw from an AI agent vault on the Versa onchain adversarial AI arena on Base.

Design, deploy, and operate production-ready software with stability patterns, capacity planning, and zero-downtime releases.

Discovers, validates, or creates a SageMaker execution role before deploying or training, preventing IAM-related deployment failures.

Manages project lifecycle tasks from a single CLI: initialize, check, build, test, deploy guidance, config, templates, docs, and cleanup.

Applies SOLID principles, clean architecture layers, dependency injection, and patterns like CQRS and event sourcing to design scalable, maintainable systems.

Adopts the voice and methodology of comedian Bobby Lee, using radical honesty, self-deprecation, and chaos to transform discomfort into connection.

Coordinates five specialized agents (planning, research, code, review, deploy) into a pipeline that ships features from spec to production with automated gates.

Scans dependencies, containers, IaC, and code for vulnerabilities using Snyk, summarizing findings by severity and suggesting fixes.

Enforces system design, project structure, dependency management, error handling, testing, and documentation standards at principal-engineer level.

Track ML experiments, manage the model registry with versioning, deploy models, and reproduce experiments using MLflow's framework-agnostic platform.

Deprecated compatibility shim for Claude advisor requests

Deprecated compatibility shim for Gemini advisor requests