Results for “productlane”

Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.

Generate a branded product slide image with headline, feature pills, and a call-to-action — all arranged with layout layers.

Extract structured product launch data from Product Hunt leaderboards, enriched with maker profiles and website contact information.

Validates product direction through structured diagnostics, founder reviews, user journey audits, and feature prioritization before building.

Manage the portfolio of product paths — review, activate, archive, restore, promote, fork, and check revisit triggers across the product-path manifest

Train quantum circuits with automatic differentiation and build hybrid quantum-classical models using PennyLane, including VQE, QAOA, and integration with PyTorch, JAX, and TensorFlow.

Holistic product leader who owns the full product lifecycle — from discovery and strategy through roadmap, stakeholder alignment, go-to-market, and outcome measurement. Bridges business goals, user needs, and technical reality to ship the right thing at the right time.

Produces a one-page lean canvas across nine interlocking blocks (problem, customer, UVP, solution, channels, revenue, cost, metrics, unfair advantage) with optional inline HTML and SVG visual rendering. Use when framing a new product thesis, stress-testing an existing strategy, comparing strategic options side-by-side, or aligning a team on business-model assumptions. Works as a strategic hub that cross-links to deeper PM skills without duplicating them.

Use this skill to validate the "why" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.

10 product agent skills and plugins for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. PM toolkit (RICE), agile PO, product strategist (OKR), UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, research summarizer. Python tools (stdlib-only).

Manage Productboard features, notes, objectives, components, and releases through natural language commands.

Product Advisor

Use this skill to validate the "why" before building, run product diagnostics, and convert vague ideas into specs.

Product Hunt launch optimization with specific specs, timing, and gallery strategy. Covers taglines, gallery images, maker comments, and launch day tactics. Use for: product launches, startup launches, side project launches, Product Hunt optimization. Triggers: product hunt, ph launch, product hunt launch, launch strategy, product launch, startup launch, product hunt tips, product hunt gallery, ph optimization, launch day, product hunt maker

Routes product requests to one of 12 bundled skills covering prioritization, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, and SaaS scaffolding.

product-report

PRD Creation

Routes product-discovery work into the right stage — opportunity brief, research, PRD, tickets, or outcome review — and hands off to the matching sub-skill.

Harness Pulse

Validates product direction before building, runs product diagnostics, founder reviews, user journey audits, and feature prioritization, producing actionable briefs and recommendations.

Bundle product artifacts into a coherent, production-ready package. Use when the user requests 'package product', 'bundle artifacts', 'assemble deliverables', 'create product package', or 'finalize outputs'.

Annotate the outline with where to mention specific brand products. Designed-in at outline time so product callouts feel natural in the draft, not bolted on.

Turns a raw feature or project idea into a structured product plan document covering goals, audience, requirements, and constraints, with a maturity-tracking workflow.

Optimize Product Hunt launches with research, gallery image generation, and a day-of playbook.

Planning Product Launch

Turn model work into a production ML system with data contracts, repeatable training, measurable quality gates, deployable artifacts, and operational monitoring.

Analyze product data and manage product tooling in PostHog. Use when the user wants product analytics or insights, HogQL/SQL queries, feature flags, experiments and A/B tests, error tracking, session replay, surveys, LLM analytics, dashboards, data warehouse, or PostHog documentation.

Guide product managers through discovering and articulating product positioning by asking adaptive questions about target customers, unmet needs, product category, benefits, and competitive differentiation.

prd-writer

Generates e-commerce product catalog images from raw photos, including packshots, cutouts, dimensions images, lifestyle scenes, and marketplace variants for Amazon, Shopify, and Etsy.

Creates agent company packages that conform to the Agent Companies specification, either from scratch or by analyzing an existing repository.

通过对话定义产品需求，根据已选模块针对性提问，更新 state.json

Launch community-powered growth campaigns across social platforms: amplify posts with authentic engagement (replies, likes, reposts) and discover relevant conversations to join.

Generate a comprehensive product strategy using the 9-section Product Strategy Canvas, covering vision, market segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility.

Generate professional product images for e-commerce, including hero shots, packshots, lifestyle scenes, and detail close-ups using AI via the inference.sh CLI.