bootstrap

Lean UX hypothesis-driven design sub-skill for the /user-experience parent skill. Facilitates Build-Measure-Learn cycles using Jeff Gothelf and Josh Seiden's Lean UX methodology (3rd ed. 2021). Produces hypothesis backlogs, assumption maps, MVP experiment designs, and validated learning logs. Invoke when teams need hypothesis-driven iteration, assumption mapping, experiment design, or validated learning documentation. Invoked by ux-orchestrator during Wave 2 lifecycle-stage routing or when user intent is "testing hypotheses" during the "During design" stage. Triggers: lean UX, hypothesis, assumption mapping, build-measure-learn, MVP experiment, validated learning, experiment design, hypothesis backlog.

Kano model feature classification and prioritization sub-skill for the /user-experience parent skill. Classifies product features into Must-be (M), Performance (O), Attractive (A), Indifferent (I), and Reverse (R) categories using the functional/dysfunctional questionnaire pair methodology (Kano et al., 1984). Computes Customer Satisfaction (CS) coefficients (Better/Worse) for priority matrix visualization. Produces feature classification reports, priority matrices, and survey design templates. Sample size awareness: 5-8 respondents yields directional classification only (MEDIUM confidence); 20+ respondents required for statistical classification (Berger et al., 1993). Invoked by ux-orchestrator during Wave 4 lifecycle-stage routing or when user intent is "Need to prioritize features" at any lifecycle stage. Triggers: Kano, must-be, attractive, one-dimensional, performance feature, satisfaction, feature classification, delighter, feature prioritization, CS coefficient.

Jobs-to-Be-Done research and analysis sub-skill for the /user-experience parent skill. Conducts JTBD job statement synthesis, switch interview analysis (Moesta/Spiek four forces), outcome-driven innovation (Ulwick ODI), and job mapping for tiny teams (1-5 people). Invoked by ux-orchestrator when users need to understand user motivations, map jobs to be done, identify switch triggers, or produce job maps with outcome expectations. Sub-skill of /user-experience; routed via ux-orchestrator lifecycle-stage triage. Triggers: JTBD, jobs to be done, switch interview, job mapping, user motivation, outcome, hiring criteria, user jobs, switch forces.

Inclusive design and WCAG 2.2 accessibility evaluation sub-skill for the /user-experience parent skill. Performs WCAG 2.2 compliance audits across Perceivable, Operable, Understandable, and Robust principles (conformance levels A, AA, AAA) and applies Microsoft Inclusive Design methodology including Persona Spectrum analysis (permanent, temporary, situational disabilities). Produces accessibility audit reports and persona spectrum analyses. Invoke when teams need accessibility compliance evaluation, WCAG conformance auditing, screen reader compatibility assessment, color contrast analysis, cognitive load evaluation, or inclusive design review. Invoked by ux-orchestrator during Wave 3 lifecycle-stage routing or when user intent is "Check accessibility" at any lifecycle stage. Triggers: accessibility, WCAG, ARIA, screen reader, contrast, cognitive load, inclusive, a11y, inclusive design, WCAG 2.2, persona spectrum.

Nielsen heuristic evaluation sub-skill for the /user-experience parent skill. Evaluates interfaces against Nielsen's 10 usability heuristics, produces severity-rated findings on a 0-4 scale (Cosmetic to Catastrophic), and generates remediation recommendations with effort estimates. Invoke when teams need structured usability evaluation, interface review, heuristic audit, or severity-rated UX findings. Invoked by ux-orchestrator during Wave 1 lifecycle-stage routing or CRISIS mode triage. Triggers: heuristic evaluation, usability audit, Nielsen heuristics, interface review, severity rating, usability inspection, UX evaluation.

HEART Metrics framework sub-skill for the /user-experience parent skill. Applies Google's HEART framework (Happiness, Engagement, Adoption, Retention, Task Success) using the Goals-Signals-Metrics (GSM) process to define measurable UX metrics for products and features. Invoked by ux-orchestrator when users need to measure UX health, define UX metrics, establish measurement baselines, or produce dashboard-ready metric specifications. Sub-skill of /user-experience; routed via ux-orchestrator lifecycle-stage triage. Triggers: HEART, metrics, happiness, engagement, adoption, retention, task success, GSM, measurement, UX metrics, dashboard, goals signals metrics.

AJ&Smart Design Sprint 2.0 facilitation sub-skill for the /user-experience parent skill. Facilitates a structured four-day rapid prototyping and validation process compressed from the Google Ventures five-day Design Sprint (Knapp, Zeratsky & Kowitz, 2016; Courtney, 2019). Produces sprint artifacts including challenge maps, solution sketches, storyboards, realistic prototypes, and structured user interview findings with synthesis confidence gates. Invoke when teams need to rapidly validate a product concept, solve a critical design challenge through structured prototyping, test ideas with real users before committing to development, or explore solution directions when they do not know what to build. Triggers: design sprint, GV sprint, rapid prototyping, sprint week, map sketch decide test, 4-day sprint, design sprint 2.0, AJ Smart sprint, validate prototype, test with users, sprint facilitation.

Fogg Behavior Model B=MAP bottleneck diagnosis sub-skill for the /user-experience parent skill. Diagnoses why users fail to take desired actions by analyzing the three B=MAP factors (Motivation, Ability, Prompt) and identifying which factor falls below the action threshold. Produces bottleneck diagnoses, factor-level assessments, and intervention recommendations with synthesis confidence gates. Invoke when teams need to understand why users are not completing a specific action, diagnose behavioral bottlenecks, design behavior change interventions, or analyze post-launch user inaction patterns. Invoked by ux-orchestrator during Wave 4 lifecycle-stage routing or when user intent is "Users not completing action" during the "After launch" stage. Triggers: behavior design, B=MAP, Fogg model, behavior bottleneck, motivation analysis, ability analysis, prompt design, why users don't, user inaction, behavior diagnosis, tiny habits, action threshold.

Atomic Design component taxonomy sub-skill for the /user-experience parent skill. Implements Brad Frost's 5-level component hierarchy (Atoms, Molecules, Organisms, Templates, Pages) for design system architecture. Produces component inventories, design token audits, composition rules, and Storybook coverage reports. Invoke when teams need component taxonomy construction, design system architecture, Storybook integration, design token consistency analysis, or component reuse auditing. Invoked by ux-orchestrator during Wave 3 lifecycle-stage routing or when user intent is "Building component system" during the "During design" stage. Triggers: atomic design, component taxonomy, design tokens, Storybook, atoms molecules organisms, design system, component inventory, component library.

AI-first interaction design sub-skill (CONDITIONAL) for the /user-experience parent skill. Provides trust-calibrated AI interaction design guidance using Yang et al.'s trust-risk and error-risk classification framework. Produces interaction pattern recommendations, trust calibration assessments, feedback loop designs, and progressive disclosure strategies for AI-powered features. CONDITIONAL: requires WSM >= 7.80 AND enabler research (FEAT-020) complete; otherwise routes to /ux-heuristic-eval with PAIR protocol. Invoke when teams need to design AI-powered interactions, calibrate user trust in AI outputs, classify AI error risks, design human-AI handoff patterns, or audit existing AI interfaces for trust and safety. Triggers: AI-first design, AI interaction, trust calibration, AI UX, conversational UX, AI interface, LLM interface, agentic UX, human-AI interaction, AI transparency, AI error handling, AI onboarding, progressive AI disclosure, trust-risk, error-risk.

Parent orchestrator for AI-augmented UX methodology targeting tiny teams (1-5 people). Routes to 10 sub-skills by product lifecycle stage through criteria-gated waves. Invoke when team needs structured UX evaluation, user research, design systems, UX metrics, behavior diagnosis, feature prioritization, design sprints, or AI interaction design. Each sub-skill implements a proven UX framework with synthesis hypothesis confidence gates and MCP design tool integration. Triggers: UX, user experience, usability, heuristic evaluation, JTBD, lean UX, HEART metrics, atomic design, inclusive design, behavior design, Kano model, design sprint, AI-first design, UX audit, accessibility, design system, user research.

Guided use case authoring and decomposition using Cockburn's 12-step writing process and Jacobson UC 2.0 progressive narrative levels. Creates structured use case artifacts with YAML frontmatter validated against use-case-realization-v1.schema.json. Decomposes use cases into implementation-ready slices with INVEST criteria verification and produces realization interaction sequences for downstream /test-spec and /contract-design consumption. Invoke when writing, creating, authoring, elaborating, slicing, decomposing, or realizing use cases.