Results for “product”

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.

Expert-level PostgreSQL database administration, advanced queries, performance tuning, and production operations

Frame jobs, triggers, desired outcomes, anxieties, and product opportunities.

Design product metric trees, North Star metrics, input metrics, and instrumentation needs.

Map product assumptions by risk, confidence, evidence, and next validation step.

Prioritize product work with explicit criteria, scoring, tradeoffs, and decision rationale.

Create, validate, or edit product requirements documents. Tri-modal. Phase 2 Planning

Expert product strategy advisor for Senior PMs. Use this skill — proactively and without waiting to be asked — whenever defining a product vision, setting quarterly OKRs, building a roadmap, choosing between competing bets, entering a new product area, or when stakeholders disagree on direction. Also triggers for: "what should we prioritize", "we need a north star", "how do we choose between X and Y", "roadmap conflict", "what are our bets this quarter", "strategy alignment", "choosing what NOT to build", "three bets with trade-offs", "stakeholder misalignment on direction", "product direction for next quarter", "OKR planning". Produces a decision-focused strategy doc: North Star metric, Opportunity Tree, three bets with explicit trade-offs (including do nothing), and a recommended bet with its key assumption.

Identify the first beachhead market segment for a product launch by evaluating segments against burning pain, willingness to pay, winnable market share, and referral potential.

Build self-serve acquisition and expansion motions, including deciding between PLG and sales-led, optimizing activation, driving freemium conversion, and building growth equations.

Generate visual storyboards with AI image generation, covering shot types, camera angles, movement, continuity rules, and panel layout for video planning and pre-production.

Uncover customer jobs, pains, and gains in a structured JTBD format to clarify unmet needs, reposition products, or improve discovery and messaging.

Define or refactor a shared frontend UI system by establishing token governance, visual-language rules, primitive naming, and cross-product consistency before polishing individual screens.

Design pricing, packaging, and monetization strategy for a software or AI product. Use when the team needs plan structure, free-tier logic, usage vs seat pricing tradeoffs, paywall timing, or monetization guardrails tied to product value and costs.

Run a structured discovery interview and produce a complete, developer-ready Product Requirements Document. Load when the user asks to write a PRD, create product requirements, document a feature, define user stories with acceptance criteria, or turn a rough idea into a formal product requirements document. Also triggers on "document this feature", "write requirements for", "create a one-pager", "turn this into a PRD", "I need a PRD for", or any request to produce a structured product document for stakeholder alignment or engineering handoff. Supports Full PRD, Lean PRD, and One-Pager formats. Note: for executable feature specifications (FRs, NFRs, ACs as Given/When/Then consumable by AI coding agents), route to `feature-spec` instead — PRDs frame the product, feature-specs encode the implementable contract.

Create detailed, actionable user personas from research data, capturing jobs-to-be-done, pain points, desired gains, and unexpected behavioral insights to guide product decisions.

Runs an autonomous multi-agent software development pipeline that takes a PRD through to production with zero human intervention, using model-tiered agents, memory, and verification cycles.

Use only for developer-facing tools, libraries, SDKs, CLIs, APIs, and infrastructure products

Regex fluency — syntax, ReDoS prevention, production validation patterns, and regex code review checklist.

Prepare and verify a staged or production deployment with rollback and smoke checks.

Expert en data mesh (domain ownership, data products, self-serve, gouvernance fédérée)

Compare a product against alternatives by positioning, capabilities, gaps, and strategic moves.

Assess launch readiness across product, engineering, support, sales, marketing, risk, and measurement.

Turn research inputs into concise evidence, patterns, confidence levels, and product decisions.

Write product-facing technical specs that clarify decisions, constraints, dependencies, and rollout.

Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines

AI-powered product design tool for transforming sketches into full-fidelity 3D renders.

Routes research planning, funding, scoping, and synthesis inquiries to one of four sub-skills: clinical research, R&D finance, market research, or product research, using a deterministic decision tree.

Provides a structured triage process for debugging test failures, build errors, runtime bugs, and production incidents, including steps to reproduce, localize, fix, and guard against recurrence.

Plans, builds, and deploys a complete Ethereum dApp using a three-phase build system with local fork, testnet, and production stages, plus a secret safety protocol and ERC-8004/x402 commerce flow.

Searches Polish marketplaces (Allegro, Ceneo, Google Shopping) to compare product prices and delivery options, presents a comparison table, and assists with checkout while leaving final payment to the user.

When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets. Also use when the user mentions 'AI image generation,' 'generate an image,' 'create a graphic,' 'product mockup,'...

Land and deploy workflow. Merges the PR, waits for CI and deploy, verifies production health via canary checks. Takes over after /ship creates the PR. Use when: "merge", "land", "deploy", "merge and verify", "land it", "ship it to production". (gstack)

Premium product design, UX direction, conversion-aware interface strategy, and trust-focused UI guidance for Nick's apps. Use when designing or refining any UI so it feels high-end, clear, trustworthy, and shaped by the product strategy rather than generic aesthetics. Best for SaaS apps, dashboards, fintech tools, admin tools, onboarding flows, landing pages, and productized web apps where design needs to support activation, trust, buyer confidence, and monetization.

Generates four audience-tailored onboarding guides in an onboarding/ folder — Contributor, Staff Engineer, Executive, and Product Manager. Use when the user wants onboarding documentation for a codebase.