Results for “product”

Generate a complete, production-ready application from an OpenAPI specification using the active framework's conventions and best practices.

Automate Zylvie operations through Composio's Zylvie toolkit via Rube MCP, including product management, sales tracking, and affiliate management.

Calculate SaaS revenue, retention, and growth metrics to diagnose momentum, churn, expansion, or product-market-fit signals.

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.

Explains machine learning model predictions using SHAP values, covering feature importance, visualizations, debugging, bias analysis, and production deployment.

Provides Docker guidance covering images, Compose, networking, volumes, debugging, and production hardening, with commands and best practices for stable environments.

Breaks a product requirements document into independently-grabbable GitHub issues using vertical slices, with user approval before creation.

Turns product ideas into structured specs for AI tools or stakeholder review, with quick feature specs and full project scopes.

Deploy and serve LLMs in production with vLLM, Ollama, TGI, and llama.cpp, including quantization and GPU optimization.

Long-form and episodic video production pipeline (1-10 min, YouTube/web). Use when user requests 'long-form video', 'YouTube video', 'episodic video', or 'video series'.

Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization.

Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization.

Set update priorities for an article before running detailed audits. Reviews extracted content and proposes which update audits to focus on (claims-stale, product-features-missing, topic-gaps).

Working Backwards PRFAQ challenge that stress-tests a product concept customer-first. Use when the user requests to 'create a PRFAQ', 'work backwards', or 'run the PRFAQ challenge'.

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI.

Build production-ready systems with stability patterns: circuit breakers, bulkheads, timeouts, and retry logic. Use when the user mentions "production outage", "circuit breaker", "timeout strategy", "deployment pipeline", "chaos engineering", "bulkhead pattern", "retry with backoff", or "health checks". Also trigger when designing resilient microservices, planning zero-downtime deployments, or investigating cascading failure scenarios. Covers capacity planning, health checks, and anti-fragility patterns. For data systems, see ddia-systems. For system architecture, see system-design.

Analyze engineering delivery throughput, hiring funnel health, team structure, and production discipline for startup VPEs and founders.

Plan, create, and configure production-ready Azure Kubernetes Service (AKS) clusters, covering Day-0 decisions, SKU selection, networking, security, and operations.

Generate user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria, with descriptions, design links, and acceptance criteria.

Transform a customer interview transcript into a structured summary with Jobs to Be Done, satisfaction signals, and action items.

Provides MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.

Defines the product vision, architecture, pricing, and roadmap for Auri, an intelligent voice assistant built on Amazon Alexa and Claude.

Fetch design context, screenshots, variables, and assets from Figma, and translate Figma nodes into production code using the Figma MCP server.

Convert Notion product specs into linked implementation plans, tasks, and progress tracking with structured workflows.

Generate songs, instrumental tracks, and covers using the MiniMax Music API with basic or advanced control modes.

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

Build evidence and narratives that connect design decisions to measurable user, product, and business outcomes.

Audit design token usage across a product for consistency and coverage, identifying hard-coded values and gaps.

Guides production-grade Android and cross-platform app development covering stack selection, architecture, UI, testing, build, and release.

Chains /mvp and /backend-spec to analyze an app from video, screenshots, or description, then generate implementation stories from the analysis.

Guides backend development across API design, authentication, security, performance, architecture, and testing, with decision guides and defaults for production-ready systems.

Synthesizes the current conversation and codebase context into a structured PRD and publishes it to the project issue tracker with a triage label.

Adopts the voice and methodology of Larry Page to reframe problems with 10x thinking, moonshot criteria, and long-term bets.