aidlc

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Mis à jour8 avril 2026 à 06:21

AI Design Lifecycle (AIDLC) — designs AI-powered product experiences covering strategy, research, UX patterns (conversational UI, copilots, prompts, suggestions), interaction design (streaming, multi-turn, regeneration), states and edge cases (loading, hallucination, rate limiting), safety and ethics (bias, consent, transparency), personalization (adaptive UI, recommendations), and emerging patterns (agents, generative UI, multimodal, RAG). Use when designing any AI/ML feature, chatbot, copilot, recommendation system, generative AI interface, or AI-assisted workflow. Triggers on: AI, ML, LLM, chatbot, copilot, conversational UI, prompt, generative AI, recommendation, suggestion, streaming response, hallucination, AI safety, AI ethics, bias, content moderation, AI onboarding, human-in-the-loop, regenerate, AI agent, multimodal, RAG, prompt engineering, AI personalization, adaptive UI.

Installation

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Source

waqarahmed-design

waqarahmed-design/Product-Designer-Agent

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Téléchargement

Métiers associésSOC

Basé sur la classification professionnelle SOC

Concepteurs web et d'interfaces numériquesProfessions informatiques et mathématiques·SOC 15-1255

Explorateur de fichiers

7 fichiers

SKILL.md

readonly

name

aidlc

description

AI Design Lifecycle (AIDLC)

Design AI-powered experiences that are useful, trustworthy, and transparent. AI features have unique UX challenges — this skill provides the frameworks.

When to load references

User's task involves	Load
AI feature strategy, use case identification, AI business models, AI competitive analysis, AI roadmapping	`.claude/skills/aidlc/ai-product-strategy.md`
Understanding AI user needs, trust research, AI mental models, AI anxiety, prompt research	`.claude/skills/aidlc/ai-research.md`
Conversational UI, prompt interfaces, copilot patterns, AI onboarding, transparency, explainability, suggestion UI, confidence indicators	`.claude/skills/aidlc/ai-design-patterns.md`
AI loading states, streaming UI, hallucination handling, error states, rate limiting, moderation, timeouts	`.claude/skills/aidlc/ai-states-quality.md`
AI bias, fairness, consent, privacy, content moderation, watermarking, misuse prevention, AI ethics	`.claude/skills/aidlc/ai-safety-ethics.md`
AI agents, generative UI, multimodal, AI personalization, adaptive UI, prompt engineering, RAG, AI technical collaboration	`.claude/skills/aidlc/ai-emerging-technical.md`

Core principle

AI features must earn user trust through transparency, control, and graceful failure. Users should always know:

When AI is acting vs. a deterministic system
How confident the AI is in its output
How to correct, override, or turn off the AI

Quick reference: AI UX heuristics

Set expectations — Tell users what the AI can and cannot do before they use it
Show your work — Explain why the AI made a recommendation or decision
Fail gracefully — AI will be wrong; design for recovery, not perfection
Keep humans in control — AI suggests, user decides
Design for iteration — First AI output is rarely final; enable refinement
Be honest about limitations — Never hide uncertainty or pretend AI is human

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design-specializations

waqarahmed-design/Product-Designer-Agent

Specialized design covering mobile, web, and emerging disciplines. Use when designing for iOS or Android (HIG, Material Design, touch gestures, tab bars, bottom sheets, notifications, onboarding, app icons), web specializations (above-the-fold, form design, data tables, dashboards, e-commerce, checkout, content layouts), or emerging areas (Design Ops, inclusive design, ethical design, dark pattern avoidance, sustainable design, service design, design thinking facilitation). Triggers on: iOS design, HIG, Material Design, Android design, touch gesture, swipe, tab bar, bottom sheet, push notification, mobile onboarding, app icon, above the fold, hero section, form design, multi-step form, data table, dashboard design, e-commerce, product page, checkout, article layout, Design Ops, inclusive design, ethical design, dark pattern, sustainable design, service design, service blueprint, design thinking, facilitation.

2026-04-0813

microinteractions-animation

waqarahmed-design/Product-Designer-Agent

Micro-interactions and animation — covers Saffer's Trigger-Rules-Feedback-Loops framework, signature moments, scoring, motion principles, animation patterns, advanced techniques, and performance. Use when designing or auditing microinteractions, implementing loading animations, hover effects, button feedback, page transitions, scroll animations, pull-to-refresh, swipe gestures, toggles, modals, or toasts. Also covers physics-based motion, spring animations, Lottie, SVG animation, morphing, easing curves, orchestration, and 60fps performance with prefers-reduced-motion support. Triggers on: microinteraction, animation, motion, easing, spring physics, timing, duration, loading spinner, skeleton screen, hover effect, button press, page transition, scroll animation, parallax, pull-to-refresh, swipe gesture, toggle switch, modal animation, toast, Lottie, SVG animation, morphing, reduced motion, 60fps, orchestration, state transition.

2026-04-0813

technical-tools

waqarahmed-design/Product-Designer-Agent

Technical and tool skills for product designers covering design tools, front-end knowledge, design-dev collaboration, and emerging technologies. Use when working with Figma, Sketch, Adobe XD, Framer, ProtoPie, or After Effects. Also for front-end topics (HTML/CSS, flexbox, grid, CSS animations, JavaScript, React/Vue/Angular, design-to-code handoff, DevTools), design-dev collaboration (Git, Figma API, design tokens, Storybook, component libraries, design QA), or emerging tech (AR/VR, voice interfaces, AI/ML features, gesture control). Triggers on: Figma, Sketch, Adobe XD, Framer, ProtoPie, After Effects, design tool, HTML, CSS, flexbox, grid, responsive, CSS animation, JavaScript, React, Vue, Angular, design handoff, DevTools, Git, Figma API, Storybook, component library, design QA, AR design, VR design, voice interface, AI feature design, gesture control.

2026-04-0813

ux-design

waqarahmed-design/Product-Designer-Agent

UX design covering interaction design, wireframing, prototyping, usability, accessibility, and responsive design. Use when designing user flows, task flows, state design, edge cases, progressive disclosure, affordances, feedback, or microcopy. Also for wireframing, interactive prototypes, WCAG compliance, keyboard navigation, screen readers, color contrast, focus management, cognitive load, error prevention, or responsive and adaptive design (mobile-first, breakpoints, touch targets, platform patterns). Triggers on: user flow, task flow, state design, empty state, edge case, progressive disclosure, affordance, feedback, microcopy, wireframe, prototype, WCAG, accessibility, keyboard navigation, screen reader, color contrast, focus, inclusive design, cognitive load, error handling, mobile-first, breakpoints, touch target, responsive layout, iOS, Android, cross-device.

2026-04-0813

business-knowledge

waqarahmed-design/Product-Designer-Agent

Business knowledge for product designers covering business fundamentals, product metrics, growth & monetization, stakeholder communication, and industry domain expertise. Use when making product decisions that involve business models, revenue, pricing, KPIs, funnels, retention, growth loops, conversion optimization, churn, upselling, executive communication, OKRs, ROI, business cases, market analysis, competitive intelligence, regulatory compliance, or customer segmentation. Triggers on: business model, revenue, pricing, unit economics, CAC, LTV, churn, TAM, SAM, SOM, KPI, funnel, cohort, retention, DAU, MAU, north star metric, product-market fit, growth loop, conversion, onboarding optimization, upsell, cross-sell, pricing page, business case, ROI, OKR, budget, risk, trade-off, opportunity sizing, GDPR, compliance, competitive intelligence, market research, go-to-market.

2026-03-1813

planning-strategy

waqarahmed-design/Product-Designer-Agent

Product design planning and strategy skill covering product strategy, information architecture, and project planning. Use when defining problems, assessing opportunities, prioritizing features, planning roadmaps, defining success metrics, designing value propositions, structuring content or navigation, designing search or taxonomy systems, scoping design work, facilitating design sprints or workshops, or assessing design risks. Triggers on: problem definition, opportunity assessment, feature prioritization, RICE, MoSCoW, Kano, roadmap, KPIs, success metrics, value proposition, information architecture, site map, content strategy, taxonomy, navigation design, search design, mental model, design scoping, design sprint, workshop facilitation, risk assessment, resource planning.

2026-03-1813

name

aidlc

description

AI Design Lifecycle (AIDLC)

Design AI-powered experiences that are useful, trustworthy, and transparent. AI features have unique UX challenges — this skill provides the frameworks.

When to load references

User's task involves	Load
AI feature strategy, use case identification, AI business models, AI competitive analysis, AI roadmapping	`.claude/skills/aidlc/ai-product-strategy.md`
Understanding AI user needs, trust research, AI mental models, AI anxiety, prompt research	`.claude/skills/aidlc/ai-research.md`
Conversational UI, prompt interfaces, copilot patterns, AI onboarding, transparency, explainability, suggestion UI, confidence indicators	`.claude/skills/aidlc/ai-design-patterns.md`
AI loading states, streaming UI, hallucination handling, error states, rate limiting, moderation, timeouts	`.claude/skills/aidlc/ai-states-quality.md`
AI bias, fairness, consent, privacy, content moderation, watermarking, misuse prevention, AI ethics	`.claude/skills/aidlc/ai-safety-ethics.md`
AI agents, generative UI, multimodal, AI personalization, adaptive UI, prompt engineering, RAG, AI technical collaboration	`.claude/skills/aidlc/ai-emerging-technical.md`

Core principle

AI features must earn user trust through transparency, control, and graceful failure. Users should always know:

When AI is acting vs. a deterministic system
How confident the AI is in its output
How to correct, override, or turn off the AI

Quick reference: AI UX heuristics

Set expectations — Tell users what the AI can and cannot do before they use it
Show your work — Explain why the AI made a recommendation or decision
Fail gracefully — AI will be wrong; design for recovery, not perfection
Keep humans in control — AI suggests, user decides
Design for iteration — First AI output is rarely final; enable refinement
Be honest about limitations — Never hide uncertainty or pretend AI is human