Results for “product-review”

Create a Product Requirements Document using a comprehensive 8-section template covering problem, objectives, segments, value propositions, solution, and release planning. Use when writing a PRD, documenting product requirements, preparing a feature spec, or reviewing an existing PRD.

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

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

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

Provides production-grade TypeScript guidance for React and Next.js, covering type narrowing, component props, generics, runtime validation, data fetching, state management, performance, accessibility, and code review.

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

>- Advanced Product Quality Planning (APQP) — plan and track a new product launch through all 5 phases, identify deliverables per phase, run gate reviews, and ensure quality outputs are complete before Start of Production (SOP). Use when launching a new part, managing an APQP project, or auditing APQP completeness. Covers AIAG APQP 2nd edition and IATF 16949 §8.3.

For analysis/task/review agents using a Professional Skill on wallets, signing, smart contracts, chain transactions, or custody; not for work with no chain behavior.

For analysis/task/review agents using a Professional Skill on batch, stream, warehouse, lineage, replay, or data quality; not for transactions without distributed-data impact.

Prepare the PRINCE2 Starting Up a Project material: mandate review, project brief, outline business case, project product description, initiation stage plan, lessons, and startup decisions.

A rating component for collecting user feedback with customizable icons, colors, and half-star support in Naive UI. Ideal for product reviews, feedback forms, and rating systems.

CEO/founder-mode plan review. Rethink the problem, find the 10-star product, challenge premises, expand scope when it creates a better product. Four modes: SCOPE EXPANSION (dream big), SELECTIVE EXPANSION (hold scope + cherry-pick expansions), HOLD SCOPE (maximum rigor), SCOPE REDUCTION (strip to essentials). Use when asked to "think bigger", "expand scope", "strategy review", "rethink this", or "is this ambitious enough". Proactively suggest when the user is questioning scope or ambition of a plan, or when the plan feels like it could be thinking bigger. (gstack)

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).

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.

Write and review modern Python 3.12+ code with async patterns, performance optimization, and production-ready practices using the latest ecosystem tools.

Pressure-tests medical-device QMS work with six traceability-obsessed questions before internal audits, regulatory reviews, or product launches.

Use `analysis-agent` for release decisions, `task-agent` for delivery artifacts, or `review-agent` for readiness on deployment, migration, rollback, or production risk. Skip local work with no release decision.

Design and review Salesforce sandbox topology, refresh cadence, data masking, and environment purpose to keep production data protected and refreshes manageable.

Manages SurrealDB schemas as desired-state .surql files, with sync for disposable databases and reviewed rollouts for shared or production environments, plus seeding and declarative testing.

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.

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.

Use this skill for ASO, app metadata, screenshots, descriptions, keywords, review positioning. Trigger when the task involves apps work related to App Store Aso Metadata, production implementation, audits, debugging, strategy, or validation.

Plan new YouTube videos with optimized titles, thumbnails, and hooks. Use when planning a video, writing or reviewing opening hooks, generating title and thumbnail concepts, or creating a production-ready video plan backed by research.

Analyzes competitor products by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices, SWOT analyses, positioning maps, UX audits, pricing breakdowns, action plans, and presentations.

Supabase-first database schema design for Nick's app stack. Generate production-ready Postgres schemas, Supabase SQL migrations, RLS policies, TypeScript types, seed data, role-aware access patterns, and schema checklists from plain English requirements. Use when starting any new project database, designing or reviewing schemas, adding tables, planning migrations, or turning product requirements into Supabase-ready data models. Bias toward product-led schema design, MVP discipline, core-workflow-first modeling, and avoiding premature table/role sprawl.

Distills the current conversation or a plain-language prompt into a production-ready, self-healing Claude Code skill with pre-flight checks, validation gates, self-review, and learnings capture.

Run an AI Startup division meeting with the seven AI Startup agents (no AI Lab agents). Use when the user requests to "start a startup meeting", "convene the startup team", or "run a sprint review for the product".

Use when planning a PLDI campaign across its annual clock — backward-planning from the November deadline through winter reviewing, the February response window, March notification, post-acceptance artifact evaluation, PACMPL production, and the June conference, with owners for each deliverable.

Manage teams using Andy Grove's principles: production thinking for knowledge work, output indicators, managerial leverage, effective meetings, clean decisions, OKRs, and task-relevant maturity.

Turn account data into a QBR that earns the renewal. It builds the value-delivered story, adoption against the goals they signed up for, the open risks stated plainly, the forward roadmap, and the expansion ask, then hands you a deck outline. Built for B2B customer success teams, customizable to your CRM and product analytics. Trigger on "build a QBR", "prep the business review", "quarterly review for this account", "what do I show the customer", "value story for the renewal", or any account-review prep.

API service-layer patterns — axios/fetch client with interceptors, domain-scoped service objects (UserService, ProductService), auth-token refresh, request cancellation, and error normalisation. Use when adding or reviewing HTTP call sites, organising services under api/ or services/, or centralising cross-cutting request concerns.

Drafts stipulated ESI protocols for federal e-discovery. Produces court-ready agreements governing preservation, collection, processing, review, and production of electronically stored information under FRCP Rules 26, 34, 37 and Sedona Principles. Trigger when formalizing ESI procedures between parties during the discovery phase.

Review a built frontend against its chosen direction, catch drift back to generic AI defaults, enforce state coverage, ethical patterns, UX heuristics, and polish, and check contrast with APCA (not the legacy WCAG ratio). Produces specific, prioritized fixes — never vibes-based feedback. Works with pasted screenshots or Playwright MCP automated capture. Load when the user asks to review a UI, audit a design, check if a frontend looks generic or vibecoded, evaluate visual quality or polish, says "review this UI", "is this design good", "audit my frontend", "does this feel like [product]", "design QA", or when frontend-design routes here. Sub-skill of frontend-design.

Guides Cloudflare One Zero Trust and SASE work across Access, Gateway, WARP, Tunnel, Cloudflare WAN, DLP, CASB, device posture, and identity. Use when designing, configuring, troubleshooting, or reviewing Cloudflare One deployments. Retrieval-first: use current Cloudflare docs/API schemas instead of embedded product docs.

Write and refine user stories using INVEST criteria, the 'As a X, I want Y, so that Z' format, Gherkin acceptance criteria, definition of ready, anti-patterns, and a review checklist.