mcp-resource-uri-designer
vmain
io.github.a5c-ai/babysitter/mcp-resource-uri-designer
Design and implement MCP resource URI schemes and templates with proper naming, hierarchy, and documentation.
“figma design image icon” 共 590 个结果
vmain
io.github.a5c-ai/babysitter/mcp-resource-uri-designer
Design and implement MCP resource URI schemes and templates with proper naming, hierarchy, and documentation.
vmain
io.github.a5c-ai/babysitter/typescript-sdk-specialist
TypeScript SDK development with Node.js and browser support. Design SDK architecture, implement type-safe API clients, support ESM and CommonJS modules, and configure bundling for browsers.
vmain
io.github.ReadyToGo-Education/fluxo_criativo/css-effects
Aplica efeitos visuais CSS e JavaScript em qualquer elemento de site — texto, cards, botões, formulários, navegação, modais, imagens, loaders, scroll, cursor, fundos, e microinterações. Use SEMPRE que o usuário pedir para "adicionar efeito", "deixar mais bonito", "animar", "modernizar", "tornar interativo", "estilizar", "deixar profissional", ou enviar print/screenshot/descrição de um elemento (botão, card, título, seção, navbar, hero, formulário, menu, modal) pedindo melhorias visuais. Também ativa em pedidos como "que efeito posso usar aqui", "sugere algo legal pra essa parte", "como deixar esse site mais interessante", "essa seção tá sem graça", "como faz aquele efeito do site X", ou qualquer pergunta sobre o que cada efeito CSS faz e como funciona. Use mesmo se o usuário não citar "CSS" explicitamente — qualquer pedido de melhoria visual em UI web aciona esta skill. Também ativa quando o usuário diz que está construindo um site, landing page, portfolio, dashboard, e quer torná-lo memorável ou competitivo.
vmain
io.github.openai/plugins/frontend-app-builder
Use for new frontend applications, dashboards, games, creative websites, hero sections, and visually driven UI from scratch, or when the user explicitly asks for a redesign/restyle/modernization. Builds from clean, airy, high-taste, readable image-generated concept design with section-specific references, faithful implementation, and browser testing.
vmain
io.github.activepieces/activepieces/design
Design system for Activepieces (open-source AI automation platform, "open source replacement for Zapier"). Use whenever designing, mocking, or building UI for Activepieces — the web app (flow builder, runs, connections, dashboard), docs, or marketing surfaces. Provides brand purple `#8142E3`, Inter type ramp with `sm` (14px) as body default, Tailwind neutrals, Lucide icons, Shadcn/Radix primitive conventions, the signature dotted-canvas builder background, and a recreated web UI kit.
vmain
io.github.taracodlabs/aiden/docker-management
Docker containers, images, volumes, networks (CLI + Dockerode)
vmain
io.github.TheSoftwareHouse/copilot-collections/tsh-implementing-kubernetes
Kubernetes deployment patterns, Helm charts, and cluster management. Use when deploying applications to K8s, designing workload configurations, implementing scaling strategies, or managing cluster resources.
vmain
io.github.xstongxue/best-skills/frontend-design
创建具有高设计品质、可交付生产的前端界面。当用户要求构建 Web 组件、页面、海报或应用(如官网、落地页、仪表盘、React/Vue 组件、HTML/CSS 布局,或对任意 Web UI 进行样式/美化)时使用本技能。产出有创意、打磨到位且避免「AI 通用审美」的代码与界面设计。
vmain
io.github.first-fluke/oh-my-agent/oma-frontend
Frontend specialist for React, Next.js, TypeScript with FSD-lite architecture, shadcn/ui, and design system alignment. Use for UI, component, page, layout, CSS, Tailwind, and shadcn work.
vmain
io.github.LeoYeAI/openclaw-master-skills/frontend-design-skill
Build polished, conversion-aware frontends with strong visual taste, clear hierarchy, and production-grade HTML/CSS/JS. Landing pages, dashboards, components, emails, redesigns — all as working files. Avoids generic AI aesthetics. Every design has a point of view.
vmain
io.github.LeoYeAI/openclaw-master-skills/design-critique
Get honest design feedback. Upload any visual — UI design, logos, photos, graphics, PDFs — and get prioritized critique: what's broken, what works, what to polish. Theory-backed analysis using 11 frameworks.
vmain
io.github.LeoYeAI/openclaw-master-skills/macos-hig-designer
Design native macOS apps following Apple's Human Interface Guidelines and Liquid Glass design system. Use when building SwiftUI/AppKit macOS apps, validating designs, or implementing macOS-specific patterns.
vmain
io.github.divinevideo/divine-mobile/docker-buildx-stale-rust-binary
Fix deployed Rust binaries not reflecting code changes when using docker buildx. Use when: (1) Code changes are verified locally (tests pass) but production behavior doesn't change after deploy, (2) Docker image has a new tag but contains old compiled binary, (3) Dockerfile uses multi-stage build with dependency pre-compilation layer and source copy layer. Docker buildx layer caching can serve stale compilation output even when source files change, especially with cross-compilation (--platform linux/amd64).
vmain
io.github.LeoYeAI/openclaw-master-skills/datadog-monitor-designer
Design Datadog monitors that catch real production issues without paging on noise. Covers SLO-based monitoring with multi-window multi-burn-rate alerts, the decision between threshold/anomaly/forecast/outlier/composite monitor types, tag-driven routing, downtime windows, monitor template inheritance per service tier, notification message engineering, and runbook linking. Acts as a senior SRE who has owned 4,000+ Datadog monitors and pruned them down to 600 monitors that still catch every real incident. Knows the Datadog billing levers (custom metrics, indexed logs, ingested traces), how `from`/`group_by` interact with no-data evaluation, the difference between simple alerts and multi-alerts, and which monitor types are silently expensive. Use when monitors are paging on cosmetic blips, when a service tier needs a coherent monitor set, when SLOs need turning into burn-rate alerts, or when monitor sprawl is unmanageable. Triggers on "datadog", "datadog monitor", "monitor design", "slo", "burn rate", "anomaly mo
vmain
io.github.taracodlabs/aiden/docker-management
Manage Docker containers, images, volumes, and networks via the Docker CLI and Dockerode API
vmain
io.github.sickn33/antigravity-awesome-skills/apify-actorization
Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.
vmain
io.github.gabrielmoreira/agent-skills-mirror/css-scalable-icon-architecture
Generates CSS for scalable graphics where the container uses em units and internal elements use percentage dimensions to ensure responsive scaling.
vmain
io.github.gabrielmoreira/agent-skills-mirror/css-image-hover-position-transition
Generates pure CSS code to animate an image's position on hover (e.g., moving top) without changing its dimensions.
vmain
io.github.nexu-io/open-design/design-brief
Parse a structured design brief written in I-Lang protocol format into a concrete design spec. Eliminates ambiguity from vague requests like "make it professional" by requiring explicit dimensions: palette, typography, layout, mood, density, and constraints. Trigger keywords: "design brief", "create a design brief", "ilang brief", "structured brief".
vmain
io.github.danielmiessler/LifeOS/Apify
Scrape social media platforms, business data, and e-commerce via Apify actors — Instagram profiles/posts/hashtags/comments, LinkedIn profiles/jobs/posts, TikTok profiles/hashtags/videos/comments, YouTube channels/search/comments, Facebook posts/groups/comments, Google Maps business search with contact/review/image extraction, Amazon products/reviews/pricing, and general-purpose multi-page web crawling with custom pageFunction extraction logic. File-based TypeScript wrappers (scrapeInstagramProfile, searchGoogleMaps, scrapeAmazonProduct, scrapeWebsite, etc.) filter and transform data in code before returning to model context, achieving 95-99% token savings over direct MCP protocol. Parallel multi-platform queries via Promise.all for social listening dashboards. Lead enrichment pipeline: Google Maps → qualified filter → optional LinkedIn enrichment. Competitive analysis across Instagram, YouTube, and TikTok simultaneously. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Faceboo
vmain
io.github.danielmiessler/Personal_AI_Infrastructure/Apify
Scrape social media platforms, business data, and e-commerce via Apify actors — Instagram profiles/posts/hashtags/comments, LinkedIn profiles/jobs/posts, TikTok profiles/hashtags/videos/comments, YouTube channels/search/comments, Facebook posts/groups/comments, Google Maps business search with contact/review/image extraction, Amazon products/reviews/pricing, and general-purpose multi-page web crawling with custom pageFunction extraction logic. File-based TypeScript wrappers (scrapeInstagramProfile, searchGoogleMaps, scrapeAmazonProduct, scrapeWebsite, etc.) filter and transform data in code before returning to model context, achieving 95-99% token savings over direct MCP protocol. Parallel multi-platform queries via Promise.all for social listening dashboards. Lead enrichment pipeline: Google Maps → qualified filter → optional LinkedIn enrichment. Competitive analysis across Instagram, YouTube, and TikTok simultaneously. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Faceboo
vmain
io.github.foryourhealth111-pixel/Vibe-Skills/designing-experiments
Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or regression discontinuity fits the research question. For fitting models or estimating effects on existing data, use performing-causal-analysis instead.
vmain
io.github.Jeffallan/claude-skills/sql-pro
Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis, covering index creation, recursive queries, EXPLAIN/ANALYZE interpretation, before/after query benchmarking, or migrating queries between database dialects (PostgreSQL, MySQL, SQL Server, Oracle).
vmain
io.github.Jeffallan/claude-skills/database-optimizer
Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.