Jtbd

product-discovery helps AI agents structure Product Management discovery with Opportunity Solution Trees, assumption mapping, validation experiments, and discovery sprint decisions before engineering investment.

marketing-context creates the shared Product Marketing context file at `.claude/product-marketing-context.md` so downstream marketing skills can reuse ICP, positioning, voice, proof points, objections, and constraints. Use it to auto-draft from repo or site materials, run a guided interview, update existing context, and validate completeness with `scripts/context_validator.py`.

cpo-advisor is a strategic Product Management skill for CPO-level decisions: product vision, PMF, portfolio strategy, org design, and board-ready product narratives. Includes references plus PMF scoring and portfolio analysis scripts for scaling companies.

cpo-review is a CPO-style product review skill for pressure testing roadmaps, feature bets, and product plans with JTBD, North Star alignment, PMF signals, RICE, opportunity cost, and ship/defer/kill decisions.

Analyze and prioritize feature requests by theme, strategic fit, impact, effort, and risk with the analyze-feature-requests skill. Use it to review customer feedback, triage a backlog, and make defensible product decisions, including analyze-feature-requests for Competitive Analysis when comparing demand across competitors.

Use the value-proposition skill to build a clear customer value statement with a 6-part JTBD structure: Who, Why, What before, How, What after, and Alternatives. It fits Product Management, launches, strategy docs, and cases where you need to explain why customers should choose your product.

The user-personas skill creates 3 refined personas from research data with JTBD, pains, gains, and unexpected insights. Use it for user-personas for UX Research, segmentation, onboarding strategy, and product decisions when you have surveys, interviews, or other source material.

Use market-segments to identify 3-5 distinct customer segments with demographics, jobs-to-be-done, pain points, desired outcomes, and product fit. It supports market-segments for Market Research, target audience selection, new market evaluation, and clearer segmentation decisions.

startup-canvas helps teams turn a rough product idea into a Startup Canvas with 9 product-strategy sections plus a simple business model view for costs and revenue. It is ideal for startup-canvas for Strategic Planning when launching a new product, evaluating a startup concept, or clarifying positioning before monetization details.

The product-strategy skill helps you create a structured Product Strategy Canvas for new products, repositioning, launches, or strategic planning. It guides vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility so you can build a decision-ready product strategy.

lean-canvas is a practical lean-canvas skill for turning product ideas into a structured business hypothesis. It covers problem, solution, UVP, unfair advantage, channels, customer segments, metrics, cost structure, and revenue. Use it for early product discovery, new ventures, or lean-canvas for Product Management when you need a concise guide to what to test next.

summarize-interview turns a customer interview transcript into a structured discovery summary with JTBD, current solution, satisfaction signals, key insights, and action items. Use it for interview recordings, transcript cleanup, and concise summaries for product teams, researchers, founders, or Data Analysis workflows.

Prioritize-assumptions helps teams rank assumptions with an Impact × Risk matrix and recommend experiments for each item. Use prioritize-assumptions for Strategic Planning to turn uncertain ideas into a clear test plan, especially when you need a practical prioritize-assumptions guide, usage flow, and next-step validation.

The opportunity-solution-tree skill helps Product Management teams build an Opportunity Solution Tree for product discovery: map a desired outcome to opportunities, solutions, and experiments. Use it to structure discovery work, compare options, and decide what to build next with less solution bias.

interview-script helps you create structured customer interview guides with warm-up, core exploration, and wrap-up sections. It follows The Mom Test and JTBD-style probing to keep questions neutral, avoid pitching, and focus on past behavior for discovery, product, and UX research interviews.

identify-assumptions-new helps Product Management teams stress-test a new product idea by surfacing risky assumptions across 8 categories, including Value, Usability, Viability, Feasibility, Ethics, Go-to-Market, Strategy & Objectives, and Team. Use it to map startup risks, clarify what must be true, and turn discovery gaps into tests.

identify-assumptions-existing helps you stress-test a feature idea in an existing product by surfacing risky assumptions across Value, Usability, Viability, and Feasibility. It uses PM, designer, and engineer perspectives plus a devil’s advocate lens for Strategic Planning and pre-build risk review.

user-segmentation helps turn feedback, interviews, tickets, surveys, and usage logs into distinct behavior-based user segments. Built for Data Analysis, it identifies at least 3 actionable groups using jobs-to-be-done, motivations, and unmet needs rather than demographics alone.

The customer-journey-map skill helps you create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities. It fits UX Research, onboarding improvement, and experience analysis when you need a structured journey story from messy inputs.

The ideal-customer-profile skill turns research and survey data into a decision-ready ICP using demographics, behaviors, JTBD, and needs. Use it to define your ideal customer, analyze PMF surveys, compare segments, and prioritize product, sales, marketing, or customer success efforts.

wwas is a prompt skill for Requirements Planning that turns rough ideas into Why-What-Acceptance backlog items. Use the wwas skill to capture business context, define the change clearly, and write testable acceptance criteria for sprint-ready work.

Use the user-stories skill to turn features into backlog-ready stories with the 3 C's, INVEST criteria, design links, and testable acceptance criteria. Ideal for writing user stories, splitting features into backlog items, and user-stories for Requirements Planning with clearer scope and less guesswork.

outcome-roadmap helps Product Management teams turn feature-heavy roadmaps into outcome-focused plans that clarify customer and business impact. Use it to rewrite initiatives as strategic outcomes, improve roadmap discussions, and connect delivery items to measurable results.

Use the job-stories skill to turn feature ideas into JTBD-style job stories in the form “When [situation], I want to [motivation], so I can [outcome].” It helps with clearer backlog items, job-stories usage for Requirements Planning, and acceptance criteria grounded in user context.