Skills
99,719 packaged capabilities and playbooks for agents. Install any of them with one command.
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When the user wants to optimize truck loading, load delivery vehicles, or plan vehicle capacity utilization. Also use when the user mentions "truck loading," "delivery vehicle optimization," "van loading," "cargo van packing," "multi-drop vehicle loading," "delivery route loading," "axle weight distribution," or "vehicle utilization." For container loading, see container-loading-optimization. For route optimization, see route-optimization.
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.
Run comprehensive triage-first verification pipeline with specialized skills. Detects scope, discovers toolchain, triages files to relevant skills, runs static analysis, invokes review skills in parallel, exercises the app, and produces a unified report. By default it then fixes the findings it judges worth fixing; report-only mode stops at the report.
Review local changes, run or verify validation, decide commit readiness, generate a repo-native commit message, and create the git commit when explicitly requested. Use when preparing or performing a commit, checking code review findings before commit, validating changed files against a spec/plan/test evidence, preventing commits with blocking review or failed tests, or writing a commit message with intent, change, review, and validation evidence.
Look up VictoriaMetrics, VictoriaLogs, VictoriaTraces, operator, vmanomaly, Helm chart and VictoriaMetrics Cloud documentation before naming a command-line flag, an HTTP API path, or a LogsQL/MetricsQL construct. Use when about to state that a flag or endpoint exists, when a user asks what a flag does, or when a previous answer may have invented an API path. Triggers on: command-line flag, CLI flag, what flag, flag does, API path, HTTP endpoint, does this endpoint exist, MetricsQL function, LogsQL pipe, LogsQL filter, operator flag, is this documented, where are the docs, VictoriaMetrics documentation.
Processes videos to identify engaging moments, generate transcripts, and create highlight clips with artistic titles and custom cover images. Use when user needs to: extract highlights from long videos or livestreams, clip or cut best moments from videos, cut video highlights, process Bilibili/YouTube URLs or local video files, generate transcripts via Whisper, analyze content for engaging moments, create short-form clips with styled titles and covers, adjust cover text position and colors, find and export memorable scenes from recordings, burn subtitles into clips (with optional translation), guide clip selection with user intent, or identify speakers in multi-person conversations.
Provides a vlog editing workflow: analyze videos with analyze_video.py (OpenVINO GenAI), generate a storyboard script (storyboard.json), and compose the final video. Use when the user provides a video directory and asks to make a vlog, generate a storyboard or editing script, or mentions vlog editing, video editing script, video storyboard, or editing script, or needs to render a final cut from storyboard.json.
AI video maker that generates and edits videos entirely through conversation. Describe a video concept and the AI creates it from scratch — or upload existing footage and edit by chatting. Handles the complete video production workflow: generate scenes from text prompts, arrange clips on a timeline, add background music and sound effects, insert titles and lower thirds, apply color grading, overlay subtitles, and export as MP4. Built for content creators, marketers, and anyone who needs video content without learning editing software. Create product demos, social media clips, educational content, promotional videos, and personal projects through natural language. The AI video maker understands context — say "make it shorter" or "add energy" and it knows what to change. Supports mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav.
Vision-based visual QA reviewer — captures rendered output (live web pages, static HTML artifacts, PDFs) as screenshots, inspects them with a designer's eye for layout defects a human catches instantly, and normalizes findings into the verify pipeline format
Render inline interactive visuals — SVG diagrams, HTML widgets, charts, and explainers — directly in the conversation. Use this skill whenever the user asks to visualize, diagram, chart, illustrate, or explain something visually, or when an explanation would genuinely benefit from a spatial/interactive diagram rather than text. Also triggers for: flowcharts, architecture diagrams, data visualizations, interactive explainers, comparison layouts, UI mockups, and any request containing 'show me', 'draw', 'map out', 'visualize', or 'diagram'. Even when the user doesn't explicitly ask for a visual, use this skill proactively when the topic has spatial, sequential, or systemic relationships that a diagram would clarify better than prose.
Voice calibration before writing: clarify “which real me is hidden in this text” before rewriting. By default, outputs a voice anchor card (which can be passed directly to plainspoken-writing / editor-revisor as a protected zone); deep mode outputs a complete voice map and follow-up questions. Does not rewrite. Triggers: “dissolve the AI taste,” “real voice,” “find my voice again,” “doesn’t sound like me,” “root of the AI tone,” “clarify my voice,” “who am I behind this passage,” “what do I want readers to feel,” “preserve my edge,” “preserve my uncertainty,” “who is this passage really meant for,” “it feels like I’m not in the writing.” EN: “dissolve the AI taste,” “find my real voice,” “what did I actually want to say here,” “get the real me back in the text,” “AI smoothed away my edge,” “doesn't sound like me”. Not for: direct rewriting (→ plainspoken-writing / editor-revisor); content review (→ chinese-write-checker); title, layout, or punctuation polishing (→ packaging-workshop).
Vue bindings for TanStack Router: RouterProvider, useRouter, useRouterState, useMatch, useMatches, useLocation, useSearch, useParams, useNavigate, useLoaderData, useLoaderDeps, useRouteContext, useBlocker, useCanGoBack, Link, Navigate, Outlet, CatchBoundary, ErrorComponent, Html, Body. Vue-specific patterns with Ref<T> returns, defineComponent, h() render functions, provide/inject, and computed refs.
Analyze any public video URL (Loom, YouTube, etc.) and produce a vivid, engineer-grade report of what was shown and said. Use when a user shares a Loom, YouTube, or other video URL and wants it analyzed, summarized, transcribed, or understood by an AI — without needing to watch it themselves.
All online operations must be handled through this skill, including searching, web scraping, post-login actions, and online interactions. Use when the user asks to search for information, view web content, visit a site that requires login, interact with a web interface, scrape social media content (Xiaohongshu, Weibo, Twitter, etc.), read dynamically rendered pages, or perform any online task requiring a real browser environment.
Filters web output against a multi-discipline checklist of AI default patterns. Use before shipping any design, copy, UI code, infrastructure config, or documentation. Trigger when the user asks for something 'premium' or 'not AI-looking', when you're about to reach for a glowing gradient, bento grid, SaaS empowerment copy, a 3-tier pricing section, a 3-stage CI/CD YAML, or a god component.
Build or revise Webflow pages from supplied designs by reusing the site's existing classes, components, assets, responsive patterns, and interactions. Use for design-to-Webflow implementation, section rebuilds, responsive parity work, or Webflow cleanup where the existing site is the implementation system and the design is the visual source of truth.
Convert Markdown articles into inline-styled HTML usable in WeChat Official Accounts, using the kami paper-feel theme by default, with support for switching among multiple themes (kami, magazine-ink, magazine-indigo, magazine-forest, magazine-kraft, magazine-dune, elegant, modern, minimal) and configuration of parameters such as font, font size, accent color, background color, and output path. Used for Official Account layout, article HTML generation, replacing unstable external layout services, and especially suited to converting articles in this vault into a format that can be pasted into the WeChat Official Account editor.
6-pillar architecture review framework. Adapted from AWS Well-Architected for use by great_cto's architect agent on every non-nano ARCH document. Forces explicit answers across operational excellence, security, reliability, performance, cost, and sustainability — not just feature design.
Declarative UI widgets from JSON for React/Next.js from ui.inference.sh. Render rich interactive UIs from structured agent responses. Capabilities: forms, buttons, cards, layouts, inputs, selects, checkboxes. Use for: agent-generated UIs, dynamic forms, data display, interactive cards. Triggers: widgets, declarative ui, json ui, widget renderer, agent widgets, dynamic ui, form widgets, card widgets, shadcn widgets, structured output ui
Use when fact-checking a single wiki page against its cited sources — verifies that every footnote actually supports its claim and surfaces uncited factual claims. Run after ingesting a high-stakes page or any time you want confidence in one page's accuracy.
Plan and coordinate approved multi-task work from prose, issues, repository evidence, or an explicitly selected Project by grouping selected issues into coherent PRs, delegating implementation in reusable task worktrees, and delivering verified draft PRs with required native stacks for dependent PRs. Never merges.
Engineers internally consistent fictional worlds using Brand's Pace Layers for social structure and Sanderson's Laws of Magic for system constraints. Use when building settings, designing magic or tech systems, or auditing a world for logical contradictions.
Build and flash the XIAO ESP32S3 Sense camera web apps in STA (router) mode: a Teachable-Machine-style dataset collector page and a live inference viewer page, reachable at http://<name>.local while every device KEEPS its internet connection. Use this skill whenever the user wants the camera web app on their normal WiFi network — home/office development, "인터넷 안 끊기게", "공유기로", "mDNS", or says "STA 모드". For router-less classroom hotspot deployments use the xiao-webcam-ap skill instead.
Strategic web design consultant for building, reviewing, or auditing websites and landing pages. Trigger when the user asks to build a landing page, review a site's messaging, write hero copy or CTAs, audit for "AI slop," or plan page information architecture. Also trigger on keywords: "landing page," "above the fold," "hero section," "conversion funnel," "social proof," "product page design."
On an Apple Silicon Mac with a matching version of Jianying installed, generate editable drafts headlessly, modify an independent copy of an existing multi-track draft, or export native MP4 when explicitly requested. The Jianying Headless core project must be checked out separately; transcription alone does not use this Skill.
Convert YouTube videos to SEO-optimized blog posts. Extract the video title, description, and content, then generate a search-engine-friendly blog post with an embedded video, cover images, optimized metadata, structured Markdown sections, clean resource blocks, and up to 8 source-grounded keywords. Automatically generates English filenames and saves to the configured Hexo blog posts directory. Includes tag management rules to maintain a clean, consistent tag taxonomy.
Reference-only catalog of UI workaround recipes. Do NOT auto-load — invoke ONLY when the user explicitly asks for "1k-ui-recipes" or a specific recipe by name (iOS tab bar scroll offset, startViewTransition, collapsible tab horizontal scroll, Android bottom tab touch intercept, keyboard avoidance, iOS overlay navigation freeze, web keyboardDismissMode, iOS modal Fabric frame animation, Android background thread timers/microtasks).
Submit an 8D to a customer, format a Ford 8D report, BMW G8D, VW QMSS, or OEM complaint response for formal submission. Covers OEM-specific format requirements, evidence standards, and discipline-by-discipline writing rules for D0–D8. Use when preparing an 8D report for Ford, BMW, VW/Audi, Stellantis, or any customer requiring formal 8D closure.
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.
Exploit CI/CD pipeline misconfigurations and OIDC federation weaknesses across GitHub Actions, GitLab CI, and Jenkins—poisoned workflows, secret exfiltration, runner compromise, overly broad OIDC trust policies, build artifact poisoning, and credential theft. Use when pentesting CI/CD infrastructure, assessing OIDC federation trust boundaries, reviewing pipeline security posture, or exploiting a path from repository access to cloud credentials.
Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, and Socratic guided modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review.
Builds a filtered, scored account list from job-posting signals — pulls postings from ATS career sites via Apify, strips the two thirds of results that are agencies, government and universities, and scores every surviving company. Use when the user says "збери список", "прospect list", "build the account list", "знайди компанії за сигналом", "who is hiring for X", or needs accounts before enrichment. Requires an Apify connection.
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.