Results for “product”

Build and deploy machine learning models with TensorFlow, covering Keras, data pipelines, and production serving.

Captures important product, technical, or founder decisions as durable context with rationale, tradeoffs, and follow-up implications.

Designs analytics architecture, plans events, defines KPIs, sets attribution boundaries, and reviews instrumentation across product and growth.

Just-In-Time production reference — pull systems, kanban, takt time, inventory reduction. Use when implementing JIT manufacturing, designing pull-based workflows, or reducing inventory waste.

AIDE file integrity monitoring reference. Database initialization, integrity checks, update workflow, aide.conf configuration, selection rules, report parsing, and production deployment with CIS benchmark compliance.

Brand asset and flyer production pipeline. Use when user requests 'create logo', 'design brand asset', 'make flyer', 'generate icon', or 'create banner'.

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

For analysis/task/review agents using a Professional Skill on models, RAG, agents, evaluation, or safety; not for work without AI decision impact.

Generate marketing screenshots of your app using Playwright. Use when the user wants to create screenshots for Product Hunt, social media, landing pages, or documentation.

Prepare PRINCE2 Closing a Project material: product acceptance, end project report, lessons report, benefits review plan, handover, follow-on actions, and closure recommendation.

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...

Generate marketing screenshots of your app using Playwright. Use when the user wants to create screenshots for Product Hunt, social media, landing pages, or documentation.

Working Backwards PRFAQ challenge to forge product concepts. Use when the user requests to 'create a PRFAQ', 'work backwards', or 'run the PRFAQ challenge'.

Supabase-first reference and implementation skill for Nick's app stack. Use when writing Supabase queries, auth flows, RLS policies, storage rules, realtime features, edge-function integrations, migrations, or debugging Supabase behavior. Prefer this instead of guessing Supabase APIs or patterns. Bias toward product-led implementation choices, trust-aware access control, MVP discipline, and using only the Supabase features the product actually needs.

When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Also use when the user mentions 'video production,' 'AI video,' 'Remotion,' 'Hyperframes,' 'HeyGen,' 'Synthesia,' 'Veo,' 'Sora,' 'Runway,' 'Kling,' 'Seedance,' 'Hailuo,' 'MiniMax,' 'Pika,' 'Hunyuan,' 'Wan,' 'video generation,' 'AI avatar,' 'talking head video,' 'programmatic video,' 'video template,' 'explainer video,' 'product demo video,' 'video pipeline,' 'copy this edit,' 'match this video style,' 'reverse-engineer this video,' 'edit like this reference,' or 'make me a video.' Use this for video creation, generation, and production workflows. For video content strategy and what to post, see social. For paid video ad creative, see ad-creative.

Senior human-style UAT and product QA for Vercel-deployed Next.js + Supabase apps. Use when Nick asks to test an app, QA a deploy, check for bugs, run E2E/UAT, smoke test, validate signup/login flows, test a feature, or assess whether a URL is ready for users. Always start by understanding the product and source code before browser testing when code is available.

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

Transform meeting transcripts into structured summaries with date, participants, topic, key decisions, action items, and open questions.

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.

Plan tailored engagement for a specific stakeholder before critical conversations, milestones, or relationship repairs.

Select and design navigation patterns that match product structure, user tasks, and platform conventions.

Identify and improve unclear, confusing, or poorly written interface text to make the product easier to understand and use.

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

Write and review interface microcopy - errors, empty states, buttons, labels, and CTAs - that is clear, concise, human, and consistent with the product's voice.

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.