Results for “product”

Production-grade Playwright testing toolkit. Use when the user mentions Playwright tests, end-to-end testing, browser automation, fixing flaky tests, test migration, CI/CD testing, or test suites. Generate tests, fix flaky failures, migrate from C...

Design user journeys and task flows for a product concept or MVP. Use when the team needs primary flows, branch conditions, edge cases, onboarding paths, and end-to-end user movement before screen planning or UI implementation.

Plan screens, views, and page responsibilities for a product flow. Use when user journeys already exist and the team needs a screen inventory, screen purpose, key states, and component-level responsibilities without jumping into visual styling too early.

Stand up a self-hostable, typo-tolerant search environment with Typesense — the open-source Algolia / ElasticSearch alternative (single C++ binary, <50ms instant search, no runtime deps). One routing-first skill: pick a server mode (binary download, official Docker image, or managed Typesense Cloud), install an API client (Python/JS/PHP/Ruby official; Go/Dart/C# community), design a collection schema, index documents, and run searches with typo tolerance, faceting/filtering, geo-search, sorting, grouping, synonyms, curation, scoped API keys, and federated multi-search — then wire an InstantSearch.js UI and a Raft-based HA cluster for production. Use when the user wants to build or operate an installable search backend, add site/app/product search, or migrate off Algolia/Elasticsearch. Triggers on: typesense, search engine, typo-tolerant search, algolia alternative, elasticsearch alternative, instantsearch, faceted search, geo search, vector search, self-hosted search, site search, product search.

Turn a generic product tour into a buyer-specific demo that only shows what they told you hurts. Maps every feature you plan to show to a problem the buyer actually stated, writes the "so what" for each moment, and flags the trap of feature-dumping before you fall into it. Built for B2B sales teams, customizable to your product and your discovery. Trigger on "build a demo script", "prep for the demo", "what should I show", "map features to pain", "stop me from feature dumping", or any pre-demo planning pass.

Debug and troubleshoot Azure production issues using AppLens, Azure Monitor, resource health, and systematic diagnosis flows for services like App Service, Functions, AKS, Container Apps, and Messaging.

Synthesize customer research data to define the Ideal Customer Profile (ICP) including demographics, behaviors, Jobs to Be Done, and pain points.

Run multiple AI agents against a product, SDK, or docs site to score setup friction, speed, efficiency, error recovery, and doc quality from a minimal prompt.

Simulates Steve Jobs — co-founder of Apple, CEO of Pixar, and founder of NeXT — providing deep psychological and strategic simulation of his thinking, design philosophy, and presentation style.

Compares 2–5 audience segments side by side across key metrics, identifying winners, losers, and significant differences to inform product decisions and personalization strategy.

Generates a structured HTML prep file for the next working day by pulling calendar data via WorkIQ, classifying meetings, detecting conflicts, finding learning and deep-work slots, and providing productivity recommendations.

Guide a team through writing a structured, blameless post-mortem after a production incident, covering timeline reconstruction, root cause analysis, impact quantification, and action item generation.

Automate Amazon ASIN data lookups and operations through the Asin Data API toolkit via Rube MCP, with dynamic tool discovery and connection management.

Create professional marketing videos for ads, promos, product launches, and brand content using AI video generation models and voiceover tools via the inference.sh CLI.

Frame an epic as a testable hypothesis with target user, expected outcome, and validation method. Use when defining a major initiative before roadmap, discovery, or delivery planning.

Build, edit, and deploy full-stack websites or web apps using the Higgsfield CLI, with two distinct product types: standalone websites or Higgsfield-integrated apps.

Generate paid-ad campaign concepts, messaging, copy, creative briefs, and production plans grounded in a validated brand profile, campaign objective, and platform requirements.

Implementa e valida dados estruturados schema.org em JSON-LD — Organization, Article, FAQPage, Product, BreadcrumbList. Use quando o usuário disser "schema", "dados estruturados", "JSON-LD", "rich snippet", "FAQ schema", "schema.org".

Migrates a Stitch screen to production React: fetches and caches wireframes, archives existing pages, converts to shadcn/ui components with semantic tokens, and documents the design system layers.

Activates for web scraping and Actor development, discovering APIs via traffic interception, recommending optimal strategies, and implementing iteratively. For production, it guides TypeScript Actor creation via Apify CLI.

Build against the WooCommerce Store API for shopper-facing products, cart, checkout, and headless carts, including route selection, nonce and cart-token handling, extension data, and payment requirements.

Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app.

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.

Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app.

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.

Manage Category entities — taxonomies and classification schemes that group other entities by type, area, tier, etc. Use when defining a new classification axis (priority levels, bug severity, feature tier, product area) that other entities will be tagged with.

Expert guidance for Zed, the high-performance code editor built in Rust with native collaboration, AI integration, and GPU-accelerated rendering. Helps developers configure Zed, create custom extensions, set up collaborative editing sessions, and integrate AI assistants for productive coding.

Expert guidance for Warp, the modern terminal built for developer productivity. Helps developers create Warp Workflows (shareable command templates), configure Warp Drive for team knowledge sharing, and leverage Warp's AI features and block-based editing for efficient terminal usage.

Use before delivering any work product to validate quality. This skill provides a standardized checklist that every agent must complete before marking work as done, ensuring consistent quality across all deliverables regardless of agent or company.

Use when user flows already exist and the team needs a screen inventory, screen responsibilities, key states, and view hierarchy for a product or feature. Trigger on requests to break a flow into pages, views, or screen-level structure.

Use this when the user gives a broad app, system, service, tool, or feature request and it must be converted into structured implementation requirements, runtime assumptions, security concerns, likely components, and handoff tasks for developer or designer skills.

Evaluate a raw app, startup, SaaS, internal tool, marketplace, or AI product idea before planning features. Use when the user shares a vague concept and needs pain analysis, market realism, feasibility, differentiation, risks, or a build/no-build recommendation.

Design and implement Arduino integration with Azure IoT Hub and IoT Edge, including secure provisioning, resilient telemetry, command handling, and production guardrails.

Evaluates and selects Threat Intelligence Platform (TIP) products based on organizational requirements including feed integration capability, STIX/TAXII support, workflow automation, analyst interface, and total cost of ownership.

Provides production-grade techniques for evaluating LLM outputs using LLMs as judges, covering direct scoring, pairwise comparison, bias mitigation, rubric generation, and confidence calibration.

Renders announcements, messages, or tips as macOS Big Sur+ style notification banners for video overlays, product launch teasers, or social media graphics.