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Found 19 Skills
One-time setup that gathers design context for your project and saves it to your AI config file. Run once to establish persistent design guidelines.
Research-backed customer persona creation with market data and avatar generation. Covers demographics, psychographics, jobs-to-be-done, journey mapping, and anti-personas. Use for: marketing strategy, product development, UX research, sales enablement, content strategy. Triggers: customer persona, buyer persona, user persona, target audience, ideal customer, customer profile, audience research, user research, icp, ideal customer profile, target market, customer avatar, audience persona
Organize qualitative research data into an affinity diagram with themes, clusters, and insight statements. Use when synthesizing large amounts of qualitative data from interviews, observations, or surveys.
Conduct usability tests and identify UX issues through systematic observation. Use when testing user flows, validating designs, identifying friction points, or ensuring users can complete core tasks. Covers test planning, think-aloud protocol, task scenarios, and severity rating.
Deep-dive usability evaluation of specific user tasks. Simulates novice user cognition step-by-step to identify learnability issues, unclear actions, and points of confusion.
Systematic usability evaluation using established heuristics (Nielsen's 10, Shneiderman's 8, or custom rubrics). Use when reviewing UI designs, screenshots, prototypes, or live products for usability issues. Triggers on "review this design", "what's wrong with this UI", "usability check", "evaluate this interface", or when user shares screenshots/mockups asking for feedback.
Analyze card sorting results to inform information architecture and navigation structure. Use after conducting open or closed card sort studies.
Create refined user personas from research data with demographics, goals, frustrations, and behavioral patterns. Use when synthesizing user research into actionable persona profiles for design decisions.
Compare UX patterns across multiple reference apps using pattern libraries produced by ux-extract. Reads 2+ pattern-library.md files, walks them category by category, identifies where apps converge (strong signal), where they diverge (genuine design choice), what's unique to one app, and what's absent across the set. Produces an opinionated comparison document with recommendations for a new build. No browser needed — pure markdown analysis. Trigger with 'compare UX patterns', 'how do top apps handle X', 'ux comparison', 'pattern comparison across reference apps'.
Exhaustively extract UX patterns from a reference web app. Walks every screen, captures screenshots of every state, records interaction patterns, copy verbatim, keyboard shortcuts, responsive treatments, motion, and empty/error/loading states. Produces a reusable pattern library that other audits can compare against. The inverse of ux-audit — asks 'what is the bar?' rather than 'does this match the bar?'. Trigger with 'learn from X', 'extract patterns from X', 'study X's UX', 'reverse engineer the UX of X', 'build a pattern library from X'.
Analyze Sentry session replays to surface UX patterns, pain points, and user journeys for a given product area. Use when asked to "show me how users use", "day in the life", "UX research", "replay research", "how do customers use", "what's the user experience like for", "watch replays of", "analyze replays for", "user behavior on", or "replay UX audit" for any Sentry product surface.
Create lightweight user personas and usage scenarios from problem framing or raw research. Use when a user needs to clarify who they're building for beyond a basic target user description. Outputs practical personas and scenarios that inform feature priorities and UX decisions—not marketing fluff.