Transparency Patterns
Showing users what the AI knows, doesn't know, and how confident it is.
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Showing users what the AI knows, doesn't know, and how confident it is.
Validate that documentation, READMEs, and onboarding guides are comprehensible to someone with zero prior context. Systematic approach to testing docs from a stranger's perspective with actionable feedback. Triggers on documentation review, onboarding validation, or README quality assessment requ...
Design help systems and support patterns that work for people with cognitive disabilities. Use when designing help content, tooltips, onboarding, FAQs, support flows, documentation, or any context where users need guidance. Triggers on: help, support, FAQ, tooltip, onboarding, tutorial, guidance,...
Design error prevention, error messages, and recovery flows for cognitive accessibility. Use when designing forms, checkout flows, account creation, settings, data entry, or any flow where users can make mistakes. Triggers on: error handling, error messages, form errors, validation, users make mi...
Evaluate and improve interface usability using heuristic analysis. Use when the user mentions "usability audit", "UX review", "users are confused", "heuristic evaluation", "form usability", "navigation problems", "Nielsen heuristics", "cognitive walkthrough", or "usability testing". Also trigger ...
Design first-run experiences that get users to value quickly without overwhelming them.
Adjusting formality, warmth, confidence, and style per context.
This skill interprets a user's shopping query to extract key product requirements such as item type, attributes, and constraints. It should be triggered when a new shopping instruction is received, parsing natural language into structured criteria (e.g., product category, desired features, price ...
Build AI conversation analytics systems. TRIGGERS - Use when user needs help with ai-conversation-analyzer related tasks.
Design analytics for AI chatbot performance. TRIGGERS - Use when user needs help with ai-chatbot-analytics related tasks.
Design AI conversation flows with UX. TRIGGERS - Use when user needs help with ai-conversation-designer related tasks.
Design onboarding UX flows. TRIGGERS - Use when user needs help with onboarding-ux-flow related tasks.
Write FAQ pages with comprehensive answers. TRIGGERS - Use when user needs help with faq-writer related tasks.
Map user journeys with touchpoints. TRIGGERS - Use when user needs help with user-journey-map related tasks.
Write effective UI copy including microcopy, error messages, empty states, and CTAs.
Design error states for apps. TRIGGERS - Use when user needs help with error-state-designer related tasks.
Analyze AI conversations. TRIGGERS - Use when user needs help with ai-conversation-analytics related tasks.
Design effective collaboration between humans and AI agents where strengths combine and weaknesses complement. Use when building agent systems that require human judgment, creating effective handoff processes, designing agent transparency, building trust through explainability, or optimizing huma...
Guides systematic observation of systems and patterns, enhancing understanding through structured methodologies and neutral attention.
Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.
Generate user-facing release notes from tickets, PRDs, or changelogs. Creates clear, engaging summaries organized by category (new features, improvements, fixes). Use when writing release notes, creating changelogs, announcing product updates, or summarizing what shipped.
Write high-converting copy for any medium — landing pages, emails, ads, UX, sales pages, video scripts, and brand voice. Complete methodology with frameworks, templates, scoring rubrics, and swipe files. Use when writing or reviewing any user-facing text.
Manual for the marginaleffects R and Python package, and guide to the book "Model to Meaning". Use when users ask about predictions, comparisons, slopes, marginal effects, average treatment effects (ATE/ATT/CATE), hypothesis testing, contrasts, counterfactuals, risk ratios, odds ratios, causal in...
Comprehensive AI programming tutor for all levels. Teaches programming through interactive lessons, code review, debugging guidance, algorithm practice, project mentoring, and design pattern exploration. Use when the user wants to: learn a programming language, debug code, understand algorithms, ...
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