Results for “production”

Social post and carousel production pipeline. Use when the user requests to 'create social post', 'design carousel', or 'run social design workflow'.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.

Trigger: structured logging, tracing, telemetry, SLI metrics, SLO alerts, log formats. Scope: Performance metrics, error tracing, production telemetry. Boundary: Excludes client behavioral product funnels.

Convert Stitch designs into production React + Vite dashboards with TanStack Query, accessible tokens from DESIGN.md, and Web3-ready patterns (ethers/viem).

Use this when planning environment variables, config files, secrets, flags, and provider settings across local, CI, staging, production, serverless, or multi-runtime systems.

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpoin...

Configures GKE storage including PVCs, PersistentVolumes, Filestore, and GCS FUSE with best practices for production workloads.

Generate walkthrough videos from Stitch project screens using Remotion with smooth transitions, zoom effects, and text overlays.

Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming.

Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays.

Instrument LLM applications with OpenInference tracing for Phoenix AI observability, covering setup, custom spans, and production deployment.

Implements database replication, failover, backups, connection pooling, and monitoring for production PostgreSQL, MySQL, and MongoDB systems.

Production-ready CI/CD configurations for Playwright — GitHub Actions, GitLab CI, CircleCI, Azure DevOps, Jenkins, Docker, parallel sharding, reporting, code coverage, and global setup/teardown.

Daily automated content production — generate copy and images from Notion Social Calendar, publish to Zernio API, update Notion, notify Slack. Runs daily on cron schedule.

Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.

Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.

Use this skill before merging, deploying, or shipping changes. It reviews code for bugs, security, auth, data loss, migrations, observability, performance, and rollback risks.

MLOps Engineer IA — Expert en déploiement de modèles ML (A/B testing, feature stores, MLflow, Kubeflow). Industrialise le ML du notebook à la production.

Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.

Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline.

Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.

Record polished UI demo videos using Playwright with visible cursor, natural pacing, and storytelling flow.

Provides a production-ready UI motion system for React/Next.js with performance, accessibility, and usability guidelines.

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

Write defensive, production-grade Bash scripts with strict error handling, safe patterns, and comprehensive testing.

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations from Arize AI.

Diagnoses Qdrant production issues using metrics and observability tools, covering optimizer problems, memory spikes, and slow queries.

Turn any text into a faceless explainer video with typography, abstract graphics, diagrams, and data visualization.

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

Create and deploy browser automation functions with the Stagehand CLI, from interactive site exploration to production deployment.

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

Use this when the system needs logging, metrics, tracing, alerting, or operator-visible runtime signals for APIs, workers, integrations, serverless functions, or local-to-production supportability.

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.

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

Provides production-grade NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and testing.