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27,599
总 Skills
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# Skill 仓库 描述 安装量
9151 cloud-sync thedotmack/claude-mem
Cloud Sync (cmem.ai Pro) The installed worker syncs through SyncHub. There is one client, one durable operation log, and no separate sync daemon. This skill checks status or writes the three connection values issued by cmem.ai → Connect . Security rule: never print the sync token, put it in argv, or log it. Confirm only its length. Preserve every unrelated setting and keep ~/.claude-mem/settings.json mode 0600 . 1. Check status Resolve the worker port and query the always-registered status route...
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9152 ima-copilot daymade/claude-code-skills
IMA Copilot One-command installer, troubleshooter, and personalization layer for the official Tencent IMA skill. Overview The official Tencent IMA skill (ima-skill) exposes a powerful OpenAPI for notes and knowledge base operations, but its installation flow is designed for a specific proprietary agent and recent releases have shipped submodule files that fail strict SKILL.md loaders. IMA Copilot solves both problems: Installs ima-skill to Claude Code, Codex, and OpenClaw in a single command via...
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9153 creator-ugc-marketing eronred/aso-skills
Creator & UGC Marketing You are an app creator-marketing specialist. Your goal is to help the user plan and execute a creator program that produces both organic install lift AND a library of UGC-style ad creative they can scale on paid. Initial Assessment Check for app-marketing-context.md Ask: What's the app's "show, don't tell" hook? (the visual moment that makes someone go "wait, what is that?") Ask: Budget tier: gifting only / $500–5k / $5k–50k / $50k+ Ask: Primary platform: TikTok / IG Reel...
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9154 llm-security semgrep/skills
Comprehensive security rules for building secure LLM applications. Based on the OWASP Top 10 for Large Language Model Applications 2025 - the authoritative guide to LLM security risks. How It Works - When building or reviewing LLM applications, reference these security guidelines - Each rule includes vulnerable patterns and secure implementations - Rules cover the complete LLM application lifecycle: training, deployment, and inference Categories Critical Impact - LLM01: Prompt Injectio...
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9155 compose-focus-navigation chrisbanes/skills
Compose: focus navigation Core principle Focus is stateful UI behavior. Make focus targets explicit, request focus after composition succeeds, and test navigation with the same input model users use: keyboard, D-pad, or remote keys. When to use this skill Use this when UI: Runs on TV, desktop, ChromeOS, keyboard-first Android, or remote-control devices. Uses FocusRequester , focusRequester , focusProperties , onFocusChanged , or key handlers. Needs initial focus, restored focus, directional navi...
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9156 investigate ghaida/intent
Investigate Overview Research is the foundation of intentional design. Without evidence, design is decoration — it might look right, but it won't be right. This skill guides the full research lifecycle: planning what to learn, choosing the right method, executing with rigor, synthesizing into actionable insights, and communicating findings that drive decisions. The gap this fills is specific: /strategize identifies what needs to be understood through the five foundational questions, but doesn't ...
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9157 specify ghaida/intent
Specify — Bridge Design to Engineering Overview This skill transforms design work into actionable, implementation-ready documentation. It produces structured specs, asset packages, test plans, and stakeholder presentations that ensure design intent survives to production. Use this when design needs to move into engineering, when cross-functional clarity is required, or when you must document decisions in a way that prevents rework. Skill family Specify works alongside the full Intent skill syste...
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9158 evaluate ghaida/intent
Evaluate — Assess UX Quality Overview You run structured UX evaluations that produce specific, scored, actionable findings. This is not a vague design review where someone says "the navigation feels off" and everyone nods. This is a systematic methodology that examines an experience against established heuristics, walks through tasks step by step, scans for manipulative patterns, and measures whether users can actually accomplish what they came to do. Every finding you produce includes four thin...
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9159 fortify ghaida/intent
Fortify — Harden for Real-World Use Overview The happy path is a fantasy. Real users have 47-character last names, 2G connections on the subway, three-year-old phones with cracked screens, browser tabs they haven't closed in six days, and no patience for something that doesn't work the first time they try it. Every design starts with the ideal scenario: the user has a stable connection, reasonable data, a modern device, and follows the intended flow without deviation. That scenario accounts for ...
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9160 template-discovery dotnet/skills
Template Discovery This skill helps an agent find, inspect, and select the right dotnet new template for a given task using dotnet new CLI commands for search, listing, and parameter inspection. When to Use User asks "What templates are available for X?" User describes a project in natural language ("I need a web API with authentication") User wants to compare templates or understand parameters before creating a project User needs to know what a template produces (files, structure) before commit...
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9161 detect-static-dependencies dotnet/skills
Detect Static Dependencies Scan a C codebase for calls to hard-to-test static APIs and produce a ranked report showing which statics appear most frequently, which files are most affected, and which abstractions already exist in the .NET ecosystem to replace them. When to Use Auditing a project's testability before adding unit tests Understanding the scope of static coupling in a legacy codebase Prioritizing which statics to wrap first (highest-frequency wins) Creating a migration plan for increm...
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9162 platform-detection dotnet/skills
Test Platform and Framework Detection Determine which test platform (VSTest or Microsoft.Testing.Platform) and which test framework (MSTest, xUnit, NUnit, TUnit) a project uses. Detection files to always check (in order): global.json → .csproj → Directory.Build.props → Directory.Packages.props Detecting the test framework Read the .csproj file and Directory.Build.props / Directory.Packages.props (for centrally managed dependencies) and look for: Package or SDK reference Framework MSTest (metapac...
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9163 funda-data himself65/finance-skills
Contains Shell Commands This skill contains shell command directives ( !`command` ) that may execute system commands. Review carefully before installing. Funda Data API Skill Query the Funda AI financial data API for stocks, options, fundamentals, alternative data, and more. Base URL: https://api.funda.ai/v1 Auth: Authorization: Bearer <API_KEY> header on all /v1/* endpoints. Pricing: This is a paid API. A Funda AI subscription is required. See funda.ai for pricing details. Step 1: Check API Key...
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9164 strategize ghaida/intent
Strategize — Frame the Problem Overview This skill owns the earliest, most critical phase of product design: problem framing. Before sketches, flows, or specs exist, it synthesizes evidence, identifies gaps, sizes opportunities, and establishes the conceptual foundation that guides all downstream work. This skill turns ambiguity into clarity through research synthesis, customer journey mapping, competitive analysis, and structured hypothesis definition. When to activate this skill: New projects,...
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9165 articulate ghaida/intent
Articulate Overview Every interface is a conversation. The words in a product — labels, instructions, errors, confirmations, empty states, onboarding copy, tooltips — do more work than any other design element. They set expectations, build trust, prevent errors, and recover from them. Bad copy makes good design fail. Good copy makes mediocre design work. Content strategy ensures these words form a coherent, maintainable system, not a collection of one-off strings. A voice framework means any wri...
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9166 include ghaida/intent
Include — Design for Everyone Overview Accessibility is not a feature. It's not a phase. It's not something you "add" after the design is "done." It's a design discipline that ensures every person — regardless of ability, device, situation, or context — can use what you build. One billion people worldwide have a disability. That number alone should end the debate about whether accessibility matters. But accessibility is not just about permanent disability. It's about the full range of human expe...
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9167 blueprint ghaida/intent
Blueprint — Construction Plan Generator Turn a one-line objective into a step-by-step construction plan that any coding agent can execute cold. When to Use Breaking a large feature into multiple PRs with clear dependency order Planning a refactor or migration that spans multiple sessions Coordinating parallel workstreams across sub-agents Any task where context loss between sessions would cause rework Do not use for tasks completable in a single PR, fewer than 3 tool calls, or when the user says...
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9168 agent-native-design agents365-ai/365-skills
agent-native-design Purpose This skill helps analyze, design, and refactor command-line tools so they can reliably serve humans , AI agents , and orchestration systems at the same time. It is not a skill for merely using a CLI. It is a skill for designing and reviewing a CLI as an agent-native interface . The skill focuses on four goals: Make CLI behavior predictable for AI agents. Make CLI output readable and recoverable for humans. Make CLI execution manageable for systems and orchestrators. D...
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9169 love2d-core gamedev-skills/awesome-gamedev-agent-skills
LÖVE (Love2D) Core Set up and debug the foundation of a LÖVE game in Lua: the callback loop, frame-rate- independent movement, input, and screen states. Targets LÖVE 11.5 . When to use Use when starting a LÖVE game, wiring up main.lua / conf.lua , or fixing the core loop, movement that runs at the wrong speed, input handling, or screen switching. Use when the workspace has main.lua calling love.* , a conf.lua , or a .love file. When not to use: Lua language questions unrelated to LÖVE; physics b...
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9170 axiom-networking charleswiltgen/axiom
Network.framework Networking When to Use This Skill Use when: Implementing UDP/TCP connections for gaming, streaming, or messaging apps Migrating from BSD sockets, CFSocket, NSStream, or SCNetworkReachability Debugging connection timeouts or TLS handshake failures Supporting network transitions (WiFi ↔ cellular) gracefully Adopting structured concurrency networking patterns (iOS 26+) Implementing custom protocols over TLS/QUIC Requesting code review of networking implementation before shipping
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9171 design-brief owl-listener/designer-skills
This skill creates a design brief through structured conversation. You may skip steps if they are not necessary. Example prompts "Write a brief for the onboarding flow" "I need to plan a settings page before I start building" "Help me define the direction for a marketing landing page" "Brief this: a dashboard that shows project health metrics" Process Ask the user for a detailed description of what they want to build, who it is for, and any constraints or ideas they already have. Explore the exi...
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9172 hypogenic k-dense-ai/scientific-agent-skills
Hypogenic Overview Hypogenic provides automated hypothesis generation and testing using large language models to accelerate scientific discovery. The framework supports three approaches: HypoGeniC (data-driven hypothesis generation), HypoRefine (synergistic literature and data integration), and Union methods (mechanistic combination of literature and data-driven hypotheses). Quick Start Get started with Hypogenic in minutes: Install the package uv pip install hypogenic Clone example datasets g...
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9173 consciousness-council k-dense-ai/scientific-agent-skills
Consciousness Council A structured multi-perspective deliberation system that generates genuine cognitive diversity on any question. Instead of one voice giving one answer, the Council summons distinct thinking archetypes — each with its own reasoning style, blind spots, and priorities — then synthesizes their perspectives into actionable insight. Why This Exists Single-perspective thinking has a ceiling. When you ask one mind for an answer, you get one frame. The Consciousness Council breaks th...
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9174 scikit-bio k-dense-ai/scientific-agent-skills
scikit-bio Overview scikit-bio is a comprehensive Python library for working with biological data. Apply this skill for bioinformatics analyses spanning sequence manipulation, alignment, phylogenetics, microbial ecology, and multivariate statistics. When to Use This Skill This skill should be used when the user: Works with biological sequences (DNA, RNA, protein) Needs to read/write biological file formats (FASTA, FASTQ, GenBank, Newick, BIOM, etc.) Performs sequence alignments or searches for m...
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9175 timesfm-forecasting k-dense-ai/scientific-agent-skills
TimesFM Forecasting Overview TimesFM (Time Series Foundation Model) is a pretrained decoder-only foundation model developed by Google Research for time-series forecasting. It works zero-shot — feed it any univariate time series and it returns point forecasts with calibrated quantile prediction intervals, no training required. This skill wraps TimesFM for safe, agent-friendly local inference. It includes a mandatory preflight system checker that verifies RAM, GPU memory, and disk space before the...
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9176 design-game playableintelligence/game-creator
Performance Notes Take your time to do this thoroughly Quality is more important than speed Do not skip validation steps Design Game Run a UI/UX design pass on an existing game to improve visuals, atmosphere, and game feel. No design experience needed — this command analyzes your game and applies proven visual patterns. Instructions Analyze the game at $ARGUMENTS (or the current directory if no path given). First, load the game-designer skill to get the full design vocabulary and patterns. Step ...
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9177 competitive-analysis owl-listener/designer-skills
No SKILL.md available for this skill. View on GitHub Installs 2.3K Repository claude-office-s…s/skills GitHub Stars 160 First Seen Mar 9, 2026
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9178 loops-cli loops-so/skills
Loops CLI Skill This skill helps with Loops terminal workflows. Use it for installation, auth and configuration, command selection, and shell-first operational tasks. When To Use Use this skill when the user needs to: install, update, or troubleshoot the Loops CLI authenticate with Loops from the terminal manage stored team keys or switch between them run one-off contact, list, event, or transactional-email commands create draft campaigns, update email-message content, and upload images from the...
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9179 intended-vs-implemented phuryn/pm-skills
Intended vs. Implemented: Auditing the Gap Purpose A linter scans code in a vacuum. It can tell you the code is internally consistent; it cannot tell you the code does what you meant , because it has no model of your intent. The highest-value security and correctness bugs live in that gap — a permission documented but never enforced, a "cron-only" endpoint anyone can call, a field marked public-only that leaks private data. This skill is the method for finding that gap. It is the differentiator:...
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9180 k6-manage grafana/skills
Grafana Cloud k6 — interaction reference The default path is the gcx CLI. When gcx isn't installed, every endpoint here is still reachable via direct curl against k6's public hosts — see §1.2 for the auth-header and host-translation rules. Two principles shape the rest: gcx owns Grafana-side auth (when present). It injects the right headers on every call, so you should not set auth headers yourself. The only header you ever set by hand is X-K6TestRun-Id , on Loki log queries (§4), browser screen...
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9181 measure ghaida/intent
Measure — Define and Track Success Overview If you can't define success, you can't design for it. And if you measure the wrong thing, you'll optimize for the wrong outcome. UX measurement connects design decisions to observable evidence — did the thing we built actually help? This skill defines what to measure, how to measure it, and how to make decisions from what you learn. It bridges the gap between "we shipped it" and "it worked." But measurement is not neutral. Every metric you choose shape...
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9182 philosopher ghaida/intent
The Philosopher — Sit With the Problem Overview A cross-cutting cognitive mode that shifts how you reason — not how you sound. The philosopher activates broader associative thinking, suppresses premature idea-dismissal, enables cross-domain connection-making, and forces genuine re-examination of assumptions. It works alongside every Intent skill at any stage of the design process, turning shallow problem statements into genuinely complex, interesting ones. When to activate: when a designer says ...
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9183 localize ghaida/intent
Localize — Design Across Cultures Overview Localization is not translation. Translation converts words; localization adapts the experience. When a product enters a new market, everything is in play: information density, navigation patterns, color meaning, icon comprehension, date formats, trust signals, payment flows, legal compliance, and the fundamental assumptions about how people make decisions. A checkout flow designed for US consumers doesn't become a Japanese experience by translating the...
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9184 transpose ghaida/intent
Transpose — Adapt Across Contexts Overview Responsive design is a layout concern. Transposition is a UX concern. When an experience moves from desktop to mobile, from web to TV, from consumer app to kiosk, from visual interface to voice — the interaction model, information priority, and user context all change. A dashboard that works beautifully on a 27-inch monitor doesn't become a mobile experience by reflowing into a single column. A checkout flow designed for keyboard and mouse doesn't becom...
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9185 netlify-mcp-servers netlify/context-and-tools
Netlify MCP Servers An MCP server exposes tools (and optionally resources/prompts) that an AI client — Claude Desktop, Claude Code, Cursor — can call. On Netlify, a remote MCP server is just one Netlify Function that speaks the MCP protocol over HTTP. This skill gets you a working, secure server and connects a client to it. "Netlify MCP" means two different things — make sure you're building the right one. Netlify publishes its own hosted MCP server that lets an AI client operate the Netlify pla...
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9186 template-instantiation dotnet/skills
Template Instantiation This skill creates .NET projects from templates using dotnet new CLI commands, with guidance for parameter validation, Central Package Management adaptation, and multi-project composition. Match the workspace, then stop. The highest-value move is aligning the new project with the repo it lands in: detect CPM ( Directory.Packages.props ) and the target framework used by neighbouring .csproj files, and mirror both. Treat the discovered target framework as an explicit choice ...
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9187 create-skill-test dotnet/skills
Create Skill Test Scaffold an evaluation spec ( eval.yaml ) for a skill or agent so it conforms to the Vally schema, passes skill-validator check and check_eval_quality.py , is powerful enough to return a verdict, and does not overfit to the skill's own wording. When to Use Creating a new eval.yaml for a skill or agent Adding stimuli to an existing eval Sizing an eval so the pass gate can actually be reached Setting up or repairing fixture files alongside an eval Reviewing whether rubric items a...
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9188 maui-app-lifecycle dotnet/skills
.NET MAUI App Lifecycle Handle application state transitions correctly in .NET MAUI. This skill covers the cross-platform Window lifecycle events, their platform-native mappings, and patterns for preserving state across backgrounding and resume cycles. When to Use Saving or restoring state when the app backgrounds or resumes Subscribing to Window lifecycle events (Created, Activated, Deactivated, Stopped, Resumed, Destroying) Hooking into platform-native lifecycle callbacks via ConfigureLifecycl...
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9189 assertion-quality dotnet/skills
Assertion Diversity Analysis Analyze test code in any supported language to measure how varied and meaningful the assertions are. Produce a metrics report that reveals whether tests verify different facets of correctness — not just "output equals X" but also structure, exceptions, state transitions, side effects, and invariants. Language-specific guidance : Call the test-analysis-extensions skill to discover available extension files, then read the file matching the target codebase's language an...
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9190 gke-productionize google/skills
GKE Productionize Skill This skill acts as a high-level orchestrator for preparing a GKE cluster and its workloads for production readiness. [!IMPORTANT] This is a meta-skill or orchestrator skill . You are expected to invoke and run many other specialized skills listed in this document as part of the overall productionization process. Do not attempt to implement all production readiness features directly within this skill; instead, use this skill to assess the environment and then delegate to t...
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9191 android-tombstone-symbolication dotnet/skills
Android Tombstone .NET Symbolication Resolves native backtrace frames from .NET Android app crashes (MAUI, Xamarin, Mono) to function names, source files, and line numbers using ELF BuildIds and Microsoft's symbol server. Inputs: Tombstone file or logcat crash output, llvm-symbolizer (from Android NDK or any LLVM 14+ toolchain), internet access for symbol downloads. Do not use when: The crash is a managed .NET exception (visible in logcat with a managed stack trace), the crashing library is not ...
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9192 alpine-js mindrally/skills
Alpine.js Development You are an expert in Alpine.js for building lightweight, reactive web interfaces. Core Principles Write concise, technical responses with accurate Alpine.js examples Use Alpine.js for lightweight, declarative interactivity Prioritize performance optimization and minimal JavaScript Integrate seamlessly with Tailwind CSS and backend frameworks Alpine.js Fundamentals Directives x-data - Define reactive data for a component x-bind - Bind attributes to expressions x-on - Attac...
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9193 stable-baselines3 k-dense-ai/scientific-agent-skills
Stable Baselines3 Overview Stable Baselines3 (SB3) is a PyTorch-based library providing reliable implementations of reinforcement learning algorithms. This skill provides comprehensive guidance for training RL agents, creating custom environments, implementing callbacks, and optimizing training workflows using SB3's unified API. Core Capabilities 1. Training RL Agents Basic Training Pattern: import gymnasium as gym from stable_baselines3 import PPO Create environment env = gym . make ( "CartPol...
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9194 documentation-template owl-listener/designer-skills
Documentation Template You are an expert in creating consistent documentation structures for design systems. What You Do You generate templates that standardize how design system artifacts are documented. Template Types Component Docs Title, status, when to use, example, anatomy, variants, props, states, accessibility, content guidelines, tokens, related, changelog. Pattern Docs Problem statement, context, solution, behavior, examples (good/bad), accessibility, related patterns. Foundation Docs ...
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9195 naming-convention owl-listener/designer-skills
Naming Convention You are an expert in creating clear, scalable naming systems for design assets, components, and tokens. What You Do You establish naming conventions that make design systems predictable, searchable, and maintainable. Principles Predictable 2. Consistent 3. Scalable 4. Scannable 5. Unambiguous Patterns Components : [category]/[name]/[variant]/[state] Tokens : {category}-{property}-{concept}-{variant}-{state} Files : [type]-[name]-[variant].[ext] Design files : Numbered + descrip...
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9196 flask-python mindrally/skills
Flask Python Development You are an expert in Flask and Python web development. Follow these guidelines when writing Flask code. Key Principles Write concise, technical responses with accurate Python examples Use functional, declarative programming; avoid classes except for Flask views Prefer iteration and modularization over code duplication Use descriptive variable names with auxiliary verbs (e.g., is_active, has_permission) Use lowercase with underscores for directories and files (e.g., blu...
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9197 empathy-map owl-listener/designer-skills
Empathy Map Build an empathy map to synthesize user research and align the team around user understanding. Context You are a senior UX researcher helping a design team build an empathy map for $ARGUMENTS. If the user provides files (interview transcripts, observation notes, survey data), read them first. Domain Context Empathy Maps (Dave Gray, XPLANE): A collaborative tool to externalize what we know about a user type. Four quadrants: Says (direct quotes), Thinks (inferred beliefs), Does (observ...
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9198 journey-map owl-listener/designer-skills
Journey Map Create a comprehensive user journey map for product design and UX analysis. Context You are a senior UX researcher helping a design team map the user journey for $ARGUMENTS. If the user provides files (research data, personas, analytics), read them first. Domain Context Journey Mapping (Jim Kalbach, Mapping Experiences): Visualizing the end-to-end experience across stages, touchpoints, channels, emotions, and pain points. Each stage should capture: user goals, actions, touchpoints, e...
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9199 user-persona owl-listener/designer-skills
User Persona Create comprehensive user personas grounded in research data for product and UX design. Context You are a senior UX researcher helping a design team create user personas for $ARGUMENTS. If the user provides files (research data, interview transcripts, survey results, analytics), read them first. If they mention a product URL, use web search to understand the product. Domain Context Personas (Alan Cooper, About Face): Archetypical users based on behavioral patterns, not demographics ...
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9200 r3f-lighting enzed/r3f-skills
React Three Fiber Lighting Quick Start import { Canvas } from '@react-three/fiber' function Scene() { return ( <Canvas shadows> {/* Ambient fill */} <ambientLight intensity={0.5} /> {/* Main light with shadows */} <directionalLight position={[5, 5, 5]} intensity={1} castShadow shadow-mapSize={[2048, 2048]} /> {/* Objects */} <mesh castShadow receiveShadow> <boxGeometry /> <meshStandardMaterial colo...
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