Results for “product”

Use this skill for GitHub Actions, checks, release gates, deployment automation, reproducible pipelines. Trigger when the task involves devops work related to CI CD Automation, production implementation, audits, debugging, strategy, or validation.

Use this skill for navigation, information architecture, menus, tabs, breadcrumbs, repeated workflows. Trigger when the task involves ui/ux work related to Navigation Ia UX, production implementation, audits, debugging, strategy, or validation.

Use this skill for auth boundaries, input validation, secrets, RLS, injection risks, destructive-action review. Trigger when the task involves security work related to Security Hardening, production implementation, audits, debugging, strategy, or validation.

Use this skill for context gathering, file triage, source maps, assumptions, task framing, prompt hygiene. Trigger when the task involves programming work related to Context Engineering, production implementation, audits, debugging, strategy, or validation.

Use this skill for crawlability, indexability, metadata, canonical tags, robots, sitemaps, internal signals. Trigger when the task involves seo work related to Technical SEO Audit, production implementation, audits, debugging, strategy, or validation.

Use this skill for REST/RPC contracts, versioning, error shapes, schemas, backward compatibility. Trigger when the task involves programming work related to API Interface Design, production implementation, audits, debugging, strategy, or validation.

Use this skill for Firebase Auth, Firestore, Functions, Storage, Hosting, app backend architecture. Trigger when the task involves apps work related to Firebase App Backend, production implementation, audits, debugging, strategy, or validation.

Use this skill for release readiness, rollback plans, changelogs, deployment checks, production risk. Trigger when the task involves agent profile work related to Release Manager Agent, implementation, audits, debugging, strategy, or validation.

Use this skill for crypto market research, tokens, narratives, liquidity, risks, source verification. Trigger when the task involves crypto work related to Crypto Market Research, production implementation, audits, debugging, strategy, or validation.

Use this skill for tokens, components, variants, theming, consistency, reusable UI architecture. Trigger when the task involves web design work related to Frontend Design System, production implementation, audits, debugging, strategy, or validation.

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

Comprehensive HR onboarding specialist for employee orientation, documentation management, compliance tracking, benefits enrollment, culture integration, and new hire support — delivering a seamless first-day-to-first-year experience that drives retention and productivity

Structures user research — planning sessions, synthesizing findings, and translating insights into product decisions. Use when planning user interviews, analyzing research data, creating personas or journey maps, or turning qualitative feedback into structured recommendations.

Use when designing or implementing product-grade web motion like Stripe, Linear, Apple, and Vercel. Covers motion principles, easing/duration defaults, choreography patterns, scroll/hover interactions, performance, accessibility (reduced motion), and implementation guidance.

Pixel-perfect Figma to React conversion using coderio. Generates production-ready code (TypeScript, Vite, TailwindCSS V4) with high visual fidelity. Features robust error handling, checkpoint recovery, and streamlined execution via helper script.

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern.

Build, review, and refactor Java backend services (Spring Boot). Use for tasks like REST API design, controllers/services/repositories, PostgreSQL persistence (JPA/MyBatis), migrations, configuration, security (Spring Security), observability, testing, performance tuning, and production hardening.

Write an implementation plan from an approved architecture and MVP scope. Use when the team needs milestones, workstreams, dependency ordering, acceptance criteria, and execution sequencing that connect product intent to shippable engineering work.

Apply opinionated, production-grade Python design and review standards. Use for substantial Python implementation, refactoring, API design, module design, exception boundaries, interfaces, or a deep code-quality review; not for a quick standalone script.

Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions.

Amazon Ads deep analysis covering Sponsored Products, Sponsored Brands (incl. Sponsored Brands Video), Sponsored Display (audiences + contextual), and basic Amazon DSP. Evaluates campaign structure, ACOS/TACOS targets, search-term harvesting, negative keyword discipline, Brand Analytics signals, day-parting, bid management, auto vs manual campaign mix, ASIN targeting, and DSP retargeting. Use when user says Amazon Ads, Amazon advertising, Amazon PPC, Amazon search ads, Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, ACOS, TACOS, retail media audit, Amazon Marketing Services, AMS, or Amazon seller advertising.

Knowledge-graph-augmented retrieval. Entity and triple extraction, graph construction (Neo4j, LlamaIndex PropertyGraphIndex), hierarchical community summarization (Microsoft GraphRAG), personalized PageRank (HippoRAG), multi-hop traversal retrieval, and hybrid graph + vector pipelines. USE WHEN: user mentions "GraphRAG", "HippoRAG", "knowledge graph RAG", "entity extraction", "multi-hop reasoning", "Neo4j RAG", "LlamaIndex property graph", "LangChain graph retriever", "triple extraction", "community summarization" DO NOT USE FOR: vanilla vector RAG - use `rag-patterns`; multimodal inputs - use `multimodal-rag`; production indexing ops - use `rag-production`; hallucination checks - use `rag-guardrails`

World-class autonomous sales and revenue skill system. Use ANY time the user asks to sell, pitch, prospect, close, negotiate, launch, monetize, build funnels, write outreach, craft proposals, develop pricing, design offers, write sales copy, create email sequences, plan campaigns, position products, handle objections, create playbooks, build pipeline, forecast revenue, develop GTM strategy, optimize conversions, write ad copy, create sales decks, score leads, nurture prospects, upsell, cross-sell, retain customers, write case studies, price products, structure enterprise deals, create battle cards, script discovery calls, build affiliate programs, plan product launches, create webinar funnels, design pricing pages, A/B test offers, analyze unit economics, calculate LTV/CAC, or ANY other sales, revenue, monetization, go-to-market, or commercial growth task. If it involves selling, revenue, deals, pipeline, or commercial strategy — USE THIS SKILL. Trigger aggressively.

Creates decision-focused PRDs and product specs — the kind that make explicit decisions, not document hopes. Make sure to use this skill whenever someone asks to write, review, draft, or improve any product document, including PRDs, feature specs, requirements docs, or product specifications. Trigger even when the user doesn't say "PRD" explicitly — phrases like "write a spec for X", "define requirements for Y", "what should my PRD include", "help me document this feature", or "my spec feels too vague" all apply. Do not attempt to write the PRD directly without consulting this skill. Produces 5-stage PRDs with behavior contracts (15-25 labeled examples for AI features), measurable success metrics with specific thresholds, precise rollout plans with percentages and ramp gates, and antipattern detection. Works for AI features, SaaS, mobile apps, and traditional software.

Design and ship production-ready MCP servers from OpenAPI contracts instead of hand-written tool wrappers. Supports Python and TypeScript, schema validation, and safe evolution.

Apply, document, or enforce brand guidelines for any product or company, covering color systems, typography, logo usage, brand voice, and visual identity.

Design, prioritize, and evaluate product experiments with clear hypotheses and defensible decisions, including A/B testing, sample size estimation, and statistical interpretation.

Uploads audience members to Google products like Customer Match and mobile device ID audiences using the Data Manager API.

Create sales-ready competitive battlecards comparing your product against a specific competitor, including positioning, feature comparison, objection handling, and win/loss patterns.

Provides production-grade Django architecture patterns including project structure, model design, REST API design with DRF, ORM best practices, caching, signals, and middleware.

Provides production-ready Dart and Flutter code patterns for null safety, immutable state, async composition, widget architecture, state management, navigation, networking, and testing.

Provides guidance and code for production AI workflows including RAG pipelines, vector databases, embedding indexing, prompt engineering, cost estimation, semantic caching, and quality evaluation.

Guides developers through capturing diagnostic artifacts to diagnose production .NET performance issues, including tool selection and data collection across Windows, Linux, containers, and Kubernetes.

Generate a complete, production-ready Model Context Protocol server project in Java using the official MCP Java SDK with Maven or Gradle.

Build, test, lint, version, and publish production-grade Python libraries to PyPI with support for multiple build backends, versioning strategies, and CI/CD.

Design the small details—triggers, rules, feedback, loops, and modes—that separate good products from great ones, based on Dan Saffer's framework.