Results for “dep”

Build Next.js 14+ applications with App Router, server components, server actions, and optimized deployment.

Install and manage Python packages using uv pip when imports fail or dependencies are missing.

Orchestrates end-to-end software development from scaffolding to deployment, covering frontend, backend, database, testing, and CI/CD workflows.

Installs and configures Apache Airflow via pip or Docker, with guidance on constraints, requirements, and deployment options.

Runs project-specific commands defined in a justfile, a Make-inspired syntax supporting parameters, dependencies, and multi-language recipes.

Generates production-ready Terraform files for AWS infrastructure, writing complete .tf files for any cloud architecture without deploying.

Generates thorough README.md documentation by exploring a codebase, identifying the tech stack, and producing setup, architecture, and deployment guides.

Secure Quarkus applications with authentication, authorization, input validation, and secrets management best practices.

Operates Cloudflare resources (Workers, Pages, R2, D1, KV) via the wrangler CLI, covering authentication, deployment, and data management commands.

Automates multi-language software builds with Makefiles, dependency management, testing, packaging, and CI/CD integration.

Guides efficient coding by enforcing a strict ladder of reuse, standard library, and minimal code before writing anything new.

Test your understanding of MkDocs, Material theme, configuration, navigation, version control, and GitHub deployment with these questions.

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

Optimizes Dockerfiles, container security, multi-stage builds, Compose orchestration, and production deployment patterns.

`analysis-agent`/`task-agent`/`review-agent`: use when migration, backfill, deployment order, rollback, or live-data safety needs design; skip when no data migration exists.

Patterns for debugging and extending the AegisNex GitHub Actions CI pipeline. Covers common failure modes, encoding issues, dependency problems, and how to add new CI steps.

Expand an annotated outline into full article prose using brand voice anchored in example articles, hitting the outline's per-section depth targets. Triggered after /product-mentions.

Test Python services with pytest, async coverage, monkeypatch, and boundary-focused fakes. Use when writing Python tests, fixtures, async tests, regression tests, or dependency-isolated verification.

Configure Python tooling, dependency surfaces, static analysis, and verification gates. Use when editing `pyproject.toml`, `requirements.txt`, `pytest.ini`, `ruff`, `pyright`, CI, or Python release checks.

Analyze open-source license compatibility, obligations, and compliance risks across project dependencies. Use when the user requests license analysis or provides relevant inputs for this workflow.

Composite skill — emergency bypass of the release branch when production is broken and waiting for the next release-cut is not viable. Chains incident scoping → branch from main (NOT release) → minimal fix → pr-merge-readiness → merge to main → patch-version tag → deploy → cherry-pick to release branch → post-deploy verify (sentry + ci-watch). Use ONLY for production-impacting breakage; routine "small fix" work belongs in /pr-to-release.

Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth.

Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes for model serving with GPU support.

Automates visual testing and UI interaction verification using browser automation after deploying features.

Generates thorough README.md files by deeply exploring a codebase to produce comprehensive project documentation covering local setup, architecture, and deployment.

Upgrade Expo SDK versions and fix dependency issues with step-by-step guidance.

Create server-side API routes in Expo Router applications and deploy them to EAS Hosting.

Scaffold, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling.

Build, deploy, and manage continuous AI agents using a visual workflow editor or development toolkit.

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency on NVIDIA GPUs (A100/H100).

Self-hosted web crawling and content extraction exposed as MCP tools, with depth control and clean markdown output.

Applies the CI/CD framework to structure analysis, guide decision-making, and improve outcomes in engineering devops contexts.

Interviews the user in depth about a plan, probing technical implementation, UI/UX, risks, tradeoffs, and missing decisions before writing or refining a spec.

Deploy, monitor, and manage Azure services with battle-tested patterns covering cost, security, networking, performance, monitoring, IaC, and identity.

Manage Kind (Kubernetes in Docker) clusters for local development and testing, including cluster creation, platform deployment, and E2E test workflows.

Generates new agent skills when a capability gap is identified, checking for duplicates first and validating quality before deployment.