Skills
97,725 packaged capabilities and playbooks for agents. Install any of them with one command.
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Pulls structured YouTube data — video and channel details, transcripts/captions, comments, playlists, and search — via the Crawlora API as clean JSON, with no yt-dlp or HTML scraping. Use when the user provides a YouTube URL or asks for a transcript, comments, channel/video metadata, or video search results.
Yuval's all-in-one AI video pipeline. Turns an idea/script into a finished, on-brand MP4 by orchestrating HyperFrames (HTML→deterministic video render), Lottie (branded motion graphics), ManimCE (math / neural-network / concept animations), and a transcribe→approve caption flow — all wrapped in the YUV.AI Neon Phoenix brand via a frame.md. Use whenever Yuval wants to make, edit, or explain something as a video: promo, explainer, launch, social reel, "make a video about X", "explain X as a video", "neural network animation", "turn this into a video", captioned tutorial, 16:9 or 9:16. Triggers: video, explainer, promo, reel, manim, lottie, hyperframes, animation, "make a video", "explain ... as a video", מצגת וידאו, סרטון, הסבר וידאו. Routes each beat to the right engine, wraps in brand, self-verifies, and renders.
Use this skill when the user wants to review a piece of existing text or a document together with an agent: examining logical coherence, structural organization, redundant padding, AI tone, style and voice, and (when reference inputs are provided) cross-document SSOT consistency; multi-model cross-review is also supported. Triggers: "review 这篇文档 / 审一下 / 看看合不合理 / 逻辑有没有问题 / 有没有重复 / 太啰嗦 / 一股 AI 味 / less AI-sounding / 帮我过一遍"; polishing tasks (润色 / 改写 / 精简 / polish / rewrite / shorten) and multi-model cross-review tasks (分头审再合并 / 交叉评审 / 让几个模型一起审) also trigger it. Not applicable: translation, fact-checking, writing from scratch, changing content intent (adding opinions / altering conclusions), code review, multi-model generation bake-offs or model selection evaluations.
A dedicated Skill for renovation daylighting tips. Covers the full process, including ventilation and windowless rooms, orientation and floor plans, glass and interior windows, colors and reflectivity, and ways to improve daylighting. Curates highlights from the Xian Home Renovation Classroom member knowledge base in reverse chronological order to help users improve daylighting with less hassle and avoid pitfalls.
A dedicated Skill for a comprehensive collection of renovation design tips. Covers the full process, including layout and circulation, storage design, styles and color schemes, spatial design techniques, free design and pitfalls to avoid, and general design. Curates highlights from the Xian Home Renovation Classroom member knowledge base in reverse chronological order to help users make renovation design easier and avoid pitfalls.
A dedicated Skill for renovation inspection guidance. Covers the full process, including concealed plumbing and electrical work, masonry and carpentry inspections, final inspection and handover, and inspection tools and checklists. Reverse-chronologically compiles highlights from the paid knowledge base of Xi'an Renovation Classroom to help users carry out renovation inspections with less hassle and fewer pitfalls.
Ask the agent to zoom out and offer broader context or a higher-level perspective. Use when you are unfamiliar with a section of code or need to understand how it fits into the bigger picture. Use when the user is unfamiliar with code or needs a higher-level perspective, or mentions zoom out, zoom-out.
Register agents on the zScore ERC-8004 Identity Registry, manage wallets and metadata, and read on-chain state. Use when an agent needs to register on-chain, check fees, read agent info, set metadata, or manage agent wallets on Base Mainnet or Base Sepolia.
Manage 1Password Developer Environments and local .env mounts through the local 1Password MCP server, without exposing secret values. Use when the user asks to set up environment variables for a repo, store or configure API keys and secrets in 1Password, mount or create a local .env file from 1Password, inspect 1Password Environment variable names, or work with the 1Password MCP server.
Generate ABP Application.Contracts layer scaffolding (interfaces, DTOs, permissions) from technical design. Enables parallel development by abp-developer and qa-engineer. Use when: (1) backend-architect needs to generate contracts, (2) preparing for parallel implementation workflow, (3) creating API contracts before implementation.
Research ONE target company as an outbound prospect and produce a decision-ready account dossier: signal stack, fit against YOUR ICP, decision-makers, lead score, risks, next actions and first-touch drafts in the prospect's language. Use when asked "research this account", "build a dossier on [company]", "is [company] a good fit for us", "who do we contact at [company]", "pre-call research on [company]", "should we go after this account", "account brief for outbound", or when handed a company URL/name to qualify. This is PROSPECT-side research (them, as a buyer). For vendor-side research on why your own customers buy from you, use `customer-intelligence` instead.
Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.
Add 3D models (.glb/.gltf) to a Decentraland scene using GltfContainer. Covers loading, positioning, scaling, colliders, parenting, and browsing 5,700+ free assets from the OpenDCL catalog. Use when the user wants to add models, import GLB files, find free 3D assets, or set up model colliders. Do NOT use for materials/textures (see advanced-rendering) or model animations (see animations-tweens).
Implements age-gating mechanisms for online services to restrict access based on user age. Covers hard gates versus soft gates, neutral age prompts, re-verification triggers, circumvention prevention, and regulatory requirements under GDPR, COPPA, UK Online Safety Act, and DSA. Keywords: age gate, age restriction, neutral prompt, children, online services, access control.
Design and implement agent-based models (ABM) for simulating complex systems with emergent behavior from individual agent interactions. Use when "agent-based, multi-agent, emergent behavior, swarm simulation, social simulation, crowd modeling, population dynamics, individual-based," mentioned.
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
Search, read, and edit Notion pages, databases, and blocks. Use when querying database rows, reading page properties and content, creating, updating, or archiving pages and blocks, adding or listing comments, exporting pages or a whole workspace, inspecting backlinks, version history, or recent activity, managing Notion auth, or chatting with Notion AI.
Design and build websites using AI coding agents with static site generators. Covers Astro-first workflow, iterative visual refinement via browser feedback, skill-enhanced prompting (frontend-design, copywriting), animations, and high-bar polish loops. Use when building a website with an AI agent, designing landing pages, or iterating on web design with LLM assistance.
Create or update root and nested AGENTS.md files that document scoped conventions, monorepo module maps, cross-domain workflows, and (optionally) per-module feature maps (feature -> paths, entrypoints, tests, docs). Use when the user asks for AGENTS.md, nested agent instructions, or a module/feature map.
Show AGNTCY/SLIM/CASA integration status — whether upstream AGNTCY packages are installed, which transport (local vs SLIM) is active, and whether CASA enforcement is enabled. Use when the user asks "is AGNTCY configured?", "show SLIM/CASA status", or "is AGNTCY/IOC integration active?".
Preparing EU AI Act compliance documentation for high-risk AI systems. Covers Annex III classification, technical documentation under Art. 11, conformity assessment, risk management systems, and CE marking requirements. Keywords: EU AI Act, high-risk AI, Annex III, conformity assessment, CE marking.
Assesses AI bias risks for GDPR Art. 9 special category data and AI Act Art. 10 data governance. Covers fairness metrics, bias detection methods, mitigation strategies, and documentation requirements for protected characteristics. Keywords: AI bias, special category, fairness metrics, discrimination, Art. 9, Art. 10.
Measure how a brand appears in AI answers by combining Semrush AI-channel traffic estimates with controlled prompt observations, keeping measured findings separate from diagnostic hypotheses. Use when the user asks about AI visibility, whether ChatGPT or Perplexity mention their brand, AI share of voice, or how much traffic arrives from AI assistants. AI-channel traffic reports require a Trends subscription.
Guides the combined DPIA and AI Act conformity assessment for AI systems processing personal data. Covers EDPB-EDPS Joint Opinion 5/2021, training data lawfulness under Art. 6 and Art. 9, Art. 22 automated decision-making, algorithmic bias detection, and NIST AI RMF MAP function. Keywords: AI privacy, DPIA, AI Act, algorithmic bias, automated decision-making, Art. 22, training data, NIST AI RMF.
Guides adversarial testing of AI systems—prompt injection, jailbreaks, tool abuse, data exfiltration, bias and harmful output probes, multi-turn attacks, and automated red-team harnesses for LLM applications. Use when red-teaming chatbots, agents, RAG systems, or copilots before launch, designing safety eval suites, reproducing reported vulnerabilities, or validating mitigations after incidents—not for writing corporate AI policy (ai-risk-governance), building production features (ai-engineer), or general network or app penetration testing (penetration-tester, network-pentester), enterprise adversary simulation or purple-team campaigns (red-team-specialist), authorized web/API OWASP testing (web-pentester), or binary/firmware RE (reverse-engineer). Production safeguard serving and gateways: ml-infrastructure-engineer-safeguards. Safety classifier R&D and benchmarks: ml-research-engineer-safeguards.
Generate working Java boilerplate for SAP GenAI Hub using the SAP AI SDK for Java (com.sap.ai.sdk). Covers chat completion, streaming, multi-turn conversations, prompt templates, content filtering, data masking, embeddings, RAG/grounding, prompt registry, and Spring Boot streaming. WHEN: user asks for Java or Kotlin code that calls a GenAI Hub model, wants a Java starter project, asks how to use com.sap.ai.sdk in their app, or asks how to integrate AI Core into a Spring Boot or plain Java application. DO NOT USE FOR: JavaScript/TypeScript code — use `aicore-sdk-js`.
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.