Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Configure multi-tenant organizations, manage members and invitations, define custom roles and permissions, set up teams, and implement RBAC using Better Auth's organization plugin. Use when users need org setup, team management, member roles, access control, or the Better Auth organization plugin.
Build and grow online communities across all platforms and contexts — from developer/B2B communities (Discord, Slack, Circle, Discourse) to social communities (Twitter/X, Reddit, Farcaster) to crypto/holder communities (Telegram). Covers strategy, platform selection, channel architecture, member journey mapping, onboarding, engagement rituals, ambassador/champions programs, moderation, governance, growth, retention, crisis management, and metrics. Use for: community-led growth, community strategy, developer community, user community, Discord/Slack/forum/Telegram setup, ambassador programs, community health, holder psychology, engagement systems, social community building, cross-platform coordination
Create a content engine that attracts, engages, and converts using Joe Pulizzi's Epic Content Marketing methodology. Use when: **Starting a content marketing program** from scratch or revamping an existing one; **Building an audience** for your brand, product, or service; **Creating a content mission statement** to align your team; **Developing an editorial calendar** and content plan; **Choosing content types and channels** strategically
Generate self-contained HTML reports that make analyses, comparisons, research findings, progress, and plans easy to use for decision-making. Use for requests such as “make an HTML report”, “summarize this in a report”, “visualize the comparison”, “show it in a chart”, “make a Gantt chart”, “make it look like a dashboard”, or “make this easier to read”. Choose appropriate formats from KPI, tables, bar, line, scatter, heatmap, waterfall, donut, radar, and Gantt based on the data and relationships to convey, and generate a single accessible, responsive, print-ready HTML file.
Start here for Yandex DataLens when the task has not yet settled on a tool, or when the question is about DataLens itself rather than about carrying something out in it: what DataLens is and what it can do; which installation is in play — Yandex Cloud, on-premise, or the internal Yandex Team one — and how they differ in hosts, auth, and capabilities; what a collection, workbook, connection, dataset, chart, or dashboard is and how they relate; and whether to reach for the MCP server, the Python SDK, the HTTP API, or the web UI. Use it to orient and to route to the skill that does the work. NOT for doing the work once the approach is chosen — that is `datalens-sdk` for Python and `datalens-html-pages` for standalone HTML reports — and not for interpreting what business metric values mean.
Patch, extend, or explain DatoCMS front-end integration code in an existing web project (Next.js App Router, Nuxt, SvelteKit, Astro, plus React/Vue/Svelte component usage). Use for targeted, per-concern work — adding a draft mode endpoint, wiring Preview Links / Visual Editing flows, fixing Content Link overlays, tuning real-time preview subscriptions, setting up cache-tag invalidation/revalidation (Next.js revalidateTag or CDN purge by tags), adding robots/sitemap wiring, hooking up crawler-safe search. Also the go-to skill for framework component/hook wiring with react-datocms, vue-datocms, @datocms/svelte, @datocms/astro: Image/RSCImage/datocms-image, StructuredText, VideoPlayer (React/Vue/Svelte), SEO/meta helpers (renderMetaTags/toHead/Seo), QuerySubscription/QueryListener realtime, ContentLink components, Site Search (React/Vue). Prefer when modifying a live codebase one concern at a time, asking a framework-specific API question, or mixing several front-end concerns in the same patch.
Use when planning software development tasks, before writing code or implementation plans — refines rough technical ideas into fully formed designs through collaborative questioning, alternative exploration, and incremental validation. For software architecture, components, data flow, and technical design decisions. Don't use during clear 'mechanical' coding processes.
Standalone entry point for breaking down commercial briefs with Eva Brief. Use only when the user explicitly wants to break down a brand brief or brand partnership requirements, generate a commercial brief constraints card, check an existing commercial draft against a brief, or adapt the structure of a benchmark sample for the same product. Generate only a brief analysis, selling-point pool, commercial brief constraints card, or revision handoff; do not write a complete commercial draft, title, opening, or body. For general requests like “how to write a commercial draft,” “how to present product selling points,” or “help me create commercial content,” return to Eva’s main creation workflow. Triggers: /eva-brief, eva-brief, 商单Brief, 品牌Brief, 品牌合作需求, 帮我拆 Brief, 拆商单约束卡, 对照 Brief 检查, 这个商单稿能不能交, 检查商单稿, 同产品商单样本, 品牌参考样例.
Generates Flutter widget tests, integration tests, and golden tests in Dart. Supports local execution and TestMu AI cloud for real device testing. Use when user mentions "Flutter", "widget test", "WidgetTester", "testWidgets", "flutter_test", "integration_test". Triggers on: "Flutter", "widget test", "Dart test", "testWidgets", "WidgetTester", "golden test".
Audit, improve, and measure visibility in AI search answers from ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Use for GEO, AEO, LLM SEO, AI citation and search crawler audits, AI visibility strategy, buyer-question baselines, brand mentions and fact checks in AI answers, or analysis of supplied Bing AI Performance and Search Console Generative AI reports.
Expert blueprint for rhythm games, including audio synchronization (BPM conductor, latency compensation with AudioServer.get_time_since_last_mix), note highways (scroll speed, timing windows), judgment systems (Perfect/Great/Good/Bad/Miss), scoring with combo multipliers, input processing (lane-based, hold note detection), and chart/beatmap loading. Based on DDR/osu!/Beat Saber research. Trigger keywords: rhythm_game, audio_sync, timing_judgment, note_highway, combo_system, BPM_conductor, latency_compensation.
Optimize landing pages for higher conversion rates using proven frameworks and design patterns. Use when designing, reviewing, or improving landing pages, hero sections, pricing pages, CTAs, or when the user asks about conversion optimization.
Apparel image generation (models/clothing). Supports single images or image sets: white-background images (invisible mannequin), model images, inspiration images, feature images, A+ images, and size charts. For a single image of one type, generate it directly; for multiple images of multiple types, automatically plan and arrange them. Trigger when the user uploads a model or apparel image (tops/bottoms/dresses/coats/shoes/hats, etc.) and says "make an image set", "make a model image", "make an inspiration image", "make a feature image", "make an A+ image", "make a size chart", or "make a white-background apparel image". For image editing only, use linkfox-aigc-imagegen.
Shopee in-store ads (Ads, in the same series as linkfox-shopee-store-auth), forwarding 23 endpoints from the Shopee Open API Ads module via /shopee/developerProxy: get_total_balance, create_manual_product_ads, get_product_campaign_daily_performance, GMS ads, and more. Before calling, confirm that the target store already has appType=ad authorization (ERP authorization is not a substitute). Trigger when the user mentions Shopee ads, Ads, ad balance, CPC, product promotion, manual ads, campaign, ad performance, ROI, get_total_balance, or ad authorization. Also trigger for inquiries about the ad account, promotions, or performance of an authorized Shopee store, even if “ads” is not mentioned explicitly.
Expert skill for integrating local Large Language Models using llama.cpp and Ollama. Covers secure model loading, inference optimization, prompt handling, and protection against LLM-specific vulnerabilities including prompt injection, model theft, and denial of service attacks.
Plan and create Meta (Facebook + Instagram) advertising campaigns end-to-end via the Hyper MCP, defaulting to Advantage+ automation. Use when the user wants to launch Meta ads, Facebook ads, Instagram ads, Advantage+ campaigns, carousel ads, dynamic creative ads, set up Meta conversion tracking, analyze performance, audit a Meta ads account, or build Meta performance dashboards. Also triggers on phrases like meta campaign, facebook campaign, advantage+, or meta account audit.
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). Accepts the epic and its architecture as one doc or as an epic plus a separate linked architecture page. Turns a large strategic doc into the discrete units of work that the PIV loop consumes.
The apartment-hunt CLI that actually works in 2026 — Surf-cleared bot protection plus a local SQLite store the website itself doesn't have. Trigger phrases: `find apartments in <city>`, `watch apartment listings for <area>`, `rank rentals by price per square foot`, `compare these apartments`, `use apartments-pp-cli`, `run apartments`
Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.
Guides users through AI video production on the Seedance (即梦) platform, from creative ideation and asset preparation through storyboarding to production-ready prompts. Activates on keywords like Seedance, 即梦, AI video, storyboard, 分镜, 运镜, 视频延长, 一镜到底.
Connect a CMS to notfair SEO tools. Guides users through configuring WordPress, Strapi, Contentful, or Ghost — tests the connection, and writes credentials to .env.local. Once set up, seo-analysis automatically cross-references CMS content against Google Search Console data. Use whenever the user says "connect my CMS", "set up WordPress", "configure Strapi", "add Contentful", "connect Ghost", or "CMS setup". Also trigger if the user asks why no CMS data appears in a seo-analysis report.
Use when planning, auditing, specifying, implementing, or improving premium website/app motion across FrankX, Arcanea, Starlight, or Vercel/Next.js sites. Use for motion design systems, site choreography, scroll motion, generated media integration, runtime selection, reduced-motion planning, visual QA, and turning rough motion ideas into implementation-ready specs.
Master viral app growth engineering using proven social media strategies. Provides comprehensive guidance on TikTok/Instagram Reels marketing, UGC networks, viral hooks, content formats, monetization, and scaling tactics based on 100+ real case studies generating billions of views and millions in revenue
Genre anatomy from John Truby's The Anatomy of Genres (类型解剖 / 类型节拍 / 混合类型 / 超越类型) — genres as beat systems with a life philosophy underneath; three rules (hit every beat of your genre, mix three or four genres, transcend the primary genre), the ladder and families of twelve genres (Horror 恐怖, Action 动作, Myth 神话, Memoir and Coming-of-Age 回忆录与成长, Science Fiction 科幻, Crime 犯罪, Comedy 喜剧, Western 西部, Gangster 黑帮, Fantasy 奇幻, Detective and Thriller 侦探与惊悚, Love 爱情), each with its hero/opponent/world/plot-shape template, beat list, hard rules with failure conditions, subgenres and transcendent paths, plus a genre-mixing worksheet and a diagnostic. Kept beside sw-truby-anatomy and the Field/Snyder page maps. Use when choosing or confirming a script's genre, when a genre story feels generic or misses the beats its audience expects, when mixing genres, when a horror lacks pressure, an action lacks plot, a love story lacks opposition or a detective story lacks reveals.
Tailwind CSS performance optimization including v4 improvements. PROACTIVELY activate for: (1) Tailwind v4 Oxide engine performance, (2) Lightning CSS minification, (3) reducing CSS bundle size, (4) content config tuning to avoid scanning unused files, (5) safelist for dynamic classes (without bloating), (6) production builds with @apply minimization, (7) critical CSS extraction, (8) HTTP caching of generated CSS, (9) avoiding @apply overuse (utility-first preferred), (10) PurgeCSS / content-detection edge cases. Provides: performance tuning checklist, Oxide engine notes, content config patterns, safelist guidance, and critical-CSS workflow
Tongdaxin quantitative data retrieval skill. Use when the user mentions tdxquant, Tongdaxin, TdxQuant, or tqcenter and needs A-share data (market snapshots, K-lines, financials, sectors, convertible bonds, new stocks, trading data, etc.), trading calendar lookups, Tongdaxin formula execution, market data subscriptions, or order placement
Translate technical analysis into business language. Use when explaining statistical concepts to non-analysts, simplifying technical findings, or bridging communication between data teams and business stakeholders.
Connect GWAS variants to biological pathways and druggable targets. Maps GWAS hits to causal genes (via fine-mapping/eQTL), then to pathways (Reactome, KEGG, WikiPathways), then to existing drugs hitting those pathways. Use for pathway-level disease mechanisms, druggable-pathway prioritization from GWAS, SNP-to-pathway-to-target tracing, and tissue-specific eQTL evidence for drug target hypotheses.
Post-translational modification (PTM) analysis — phosphorylation, ubiquitination, acetylation, glycosylation, and methylation. Uses iPTMnet (sites and enzymes), ProtVar (functional consequences), UniProt (baseline), STRING, ELM (linear motifs), MassIVE/ProteomeXchange (experimental data), and the EBI Proteins API (mutagenesis, MS-proteomics/HPP peptide evidence, antigenic regions, genomic coordinates, and protein-level variant lookup by accession/dbSNP/HGVS) for cross-validation. Use for PTM site annotation, kinase-substrate identification, and PTM-disease associations.
Feature-level UX audit for React/Next.js code. Catches what Lighthouse, axe, ESLint, and Storybook miss — state coverage gaps (missing loading/empty/error), form data loss on validation, broken focus management, optimistic UI without rollback, skeleton-induced layout shift, vague microcopy, and 25+ other modern frontend UX bugs. Diff-aware (audits changed files only) and produces a 3-tier ship-readiness verdict (release-blocker / fix-this-sprint / backlog) grouped by surface, with concrete fixes using modern React 19 APIs (useActionState, useFormStatus, useOptimistic, useTransition, Suspense). Use before merging a frontend PR, before shipping a feature, or when asked "is this checkout/onboarding/dashboard ready?", "review this PR for UX bugs", "audit this component", "what would break in production?", "is this ready to ship?"
Generate AI videos with Google Veo via AceDataCloud API. Use when creating videos from text descriptions, animating still images into video, blending reference images into video, or upscaling existing videos to 1080p. Supports Veo 3 and Veo 3.1 models including fast and ingredient variants.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Maximum control over AI image generation—write structured VGL (Visual Generation Language) JSON that explicitly controls every visual attribute. Define exact object placement, lighting direction, camera angle, lens focal length, composition, color scheme, and artistic style as deterministic JSON instead of ambiguous natural language. Use this skill when you need reproducible image generation, precise control over scene composition, or want to convert a natural language image request into a structured JSON schema for Bria Fibo models. Triggers on requests for structured prompts, controllable generation, VGL JSON, deterministic image descriptions, or Bria/FIBO structured_prompt format
Provides comprehensive guidance for Vue 2.x development including Options API, components, directives, lifecycle hooks, computed properties, watchers, Vuex state management, and Vue Router. Use when the user asks about Vue 2, needs to create Vue 2 components, implement reactive data binding, handle component communication, or work with Vue 2 ecosystem tools.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.