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Found 57 Skills
Guides product management for human data platforms—annotation and labeling products, workforce workflows, task design, quality systems (gold sets, adjudication, inter-annotator agreement), customer ML-team project delivery, contributor experience, and privacy-safe handling of human-generated training data. Use when prioritizing roadmap for labeling/RLHF/eval data platforms, writing PRDs for annotation or QA features, defining success metrics for throughput and quality, scoping enterprise customer workflows, or balancing cost-quality-speed tradeoffs—not for hands-on model training (data-scientist), warehouse/analytics pipelines (data-warehouse-engineer), generic BRD workshops without product lens (business-analyst), AI solution architecture for copilots (applied-ai-architect-commercial-enterprise), or control implementation for audits (compliance-engineer). UX flows: product-designer. Eval harnesses: prompt-engineer-agent-prompts-evals. Pricing/packaging for platform: product-management-monetization.
Guides structured ideation through Socratic questioning to explore problems, opportunities, and solutions. Use when brainstorming features, exploring use cases, or thinking through new ideas.
Hook Model framework for building habit-forming products based on Nir Eyal's "Hooked". Use when you need to: (1) increase user engagement and retention, (2) design habit loops in your product, (3) audit why users aren't returning, (4) create effective triggers and notifications, (5) design variable reward systems, (6) increase investment and switching costs, (7) evaluate the ethics of your engagement tactics, (8) optimize onboarding for habit formation.
Plan the UX and UI for a feature before writing code. Runs a structured discovery interview, then produces a design brief that guides implementation. Use during the planning phase to establish design direction, constraints, and strategy before any code is written.
Write a PRODUCT.md spec for a significant user-facing feature in Warp, focused on detailed behavior and validation. Use when the user asks for a product spec, desired behavior doc, or PRD, wants to define feature behavior before implementation, or when the feature is substantial or behaviorally ambiguous enough that a written spec would improve implementation or review.
Create wireframes and interactive prototypes to visualize user interfaces and gather feedback early. Use tools and techniques to communicate design ideas before development.
Create detailed user personas based on research and data. Develop realistic representations of target users to guide product decisions and ensure user-centered design.
Builds features based on Jobs-to-be-Done theory using Bob Moesta's frameworks. Use when designing features, identifying customer jobs, understanding push/pull forces, or uncovering hidden needs beyond stated feature requests.
Create user flow diagrams showing paths, decisions, and branch logic.
Improve unclear UX copy, error messages, microcopy, labels, and instructions to make interfaces easier to understand. Use when the user mentions confusing text, unclear labels, bad error messages, hard-to-follow instructions, or wanting better UX writing.
Use for deep design discovery and problem understanding before planning or implementation. Trigger when the user wants to think deeply, build knowledge, surface edge-cases, ask many questions, or explore the problem space without producing plans or code.
Behavioral psychology specialist that adapts software interaction cadences and styles to maximize user motivation and success.