Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Operate, configure, benchmark, and troubleshoot vLLM inference servers: Docker and Kubernetes deployment, quantization-aware model configuration (tensor parallelism, KV cache), OpenAI-compatible API serving, throughput and latency benchmarking, continuous batching tuning, GPU operation, and upgrade/rollback. Use when deploying or running a vLLM server (vllm serve, vllm/vllm-openai), sizing a model and its KV cache for GPUs, selecting quantization and parallelism, serving via /v1 endpoints, measuring serving throughput or latency, tuning batching, or diagnosing GPU, OOM, or startup failures in a vLLM deployment. Do not use for model training, fine-tuning, evaluation-set design, or engine-selection methodology (that is ml-engineering), or for operating the llama.cpp stack with GGUF models (that is llama-cpp); other inference engines (TGI, Ollama, Triton) are out of scope.
Production voice AI agents with sub-500ms latency. Groq LLM, Deepgram STT, Cartesia TTS, Twilio integration. No OpenAI. Use when: voice agent, phone bot, STT, TTS, Deepgram, Cartesia, Twilio, voice AI, speech to text, IVR, call center, voice latency.
Use Terraform/IaC for Volcengine resources only when the user explicitly chooses Terraform/IaC, already has a Terraform workflow/state, or confirms they need plan/diff/drift/destroy safety for VKE, managed databases/cache/storage, load balancers, domains/certificates, logging/monitoring, or team-managed infrastructure.
Search a video library with natural language via the VSS Pipeline Manager — upload a video (POST /videos), generate its embeddings (POST /videos/search-embeddings/{id}), then run a query (POST /search/query) with optional tag and time filters and read the ranked clip results. Use when the user says "search my videos", "find <thing> in the videos", "when did X happen", or wants to ingest/index a video for search. Requires a search-capable deployment (--search, --dual, or --unified).
Summarize a video through the VSS Pipeline Manager — start a summary pipeline with POST /summary (full required body), poll GET /summary/{stateId} until complete, then return the summary via GET /summary/{stateId}/raw. Use when the user says "summarize this video", "create a summary", "what happens in this video" (on an ingested video), or wants to run/inspect the summarization pipeline. Requires a summary-capable deployment (--summary, --dual, or --unified).
[MASTER ENTRY POINT] Chief director for Chinese long-form, WeChat official account articles and opinion-piece workflows that require multi-stage artifacts. Use for planning, research, writing, review and delivery tasks such as "write one", "create", "draft a long article", "start from topic selection". Simple polishing, proofreading and translation do not trigger it; when only analyzing, creating or updating a style profile, use style-modeler instead. If the user has already explicitly chosen A/B/C, accept it directly; otherwise decide the mode based on the task and do not force the user to choose a technical workflow.
A Xiaohongshu image-and-text note creation workflow designed for [券商名称] Securities official/employee accounts, achieving soft-marketing traffic generation where "every topic turns to investing". Core features: (1) supports naturally steering any lifestyle or trending topic toward investing and personal finance; (2) intelligently determines whether to create from scratch or rewrite existing content; (3) two-stage creation: stage one focuses on topic exploration, high-quality first-draft creation, and review/refinement (without considering IP style or platform format); (4) stage two performs IP style transfer and platform format adaptation (choose the account style, defaulting to the [券商名称] official style, with multi-account style switching supported); (5) rewrite into a Xiaohongshu note draft (keeping the core points), outputting 5-10 title versions, a multi-page note structure (cover page + N content pages + closing promo page), and body content (including lead-in + risk disclaimer + tags); (6) Phase 3 by default outputs three-style AI drawing prompts ([视觉风格A] + Mondo master poster style + journal hand-drawn infographic style, one set per page, where the journal style supports intelligent matching of 36 infographic types), with optional additional HTML previews (Vital Geometry style or magazine info-card style); (7) evaluates viral potential and provides optimization suggestions; (8) outputs the complete note draft plus the full set of accompanying images. Every major step requires user confirmation. Applies to financial knowledge popularization, personal-finance tutorials, investment tool introductions, and scenarios turning any lifestyle topic such as food, travel, shopping, or workplace into investing and personal finance. Demonstrates professionalism while softly guiding customers to consult or open an account at [券商名称] Securities.
Generate professional presentation slides from a topic or outline — complete decks you can view, edit, and download. Use when user wants to "create slides", "make presentation", "generate PPT", "PowerPoint", "slide deck", "做PPT", "生成幻灯片", "プレゼン作成", "슬라이드 만들기".
Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.
Performs a Zero Trust Architecture maturity assessment against NIST SP 800-207 and the CISA Zero Trust Maturity Model v2. Evaluates all five CISA ZT pillars (Identity, Devices, Networks, Applications & Workloads, Data) across maturity stages. Covers microsegmentation readiness, continuous verification, and produces a pillar-by-pillar maturity scorecard with remediation roadmap.
Specialised skill for querying 12306 train ticket schedules, supporting accurate station selection, date specification and train information retrieval. Uses a validated browser-operation SOP and a direct-query strategy with URL parameters to ensure accurate results. Suited to 12306-related queries such as train schedules, remaining ticket availability and train times.
Expert Kubernetes specialist mastering container orchestration, cluster management, and cloud-native architectures. Specializes in production-grade deployments, security hardening, and performance optimization with focus on scalability and reliability.
MUST USE when the user wants to research, search, look up, or find anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic. Also MUST USE when the user mentions any platform or shares any URL/link: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, V2EX, LinkedIn/领英/招聘/求职/jobs, YouTube, GitHub code search, 小宇宙播客, 雪球/股票行情, RSS feeds, or any web URL. Supports 13 platforms with multi-backend routing (OpenCLI / per-platform CLIs / APIs). Six channels require no configuration. Run `agent-reach doctor --json` to see which backend currently serves each platform. NOT for: content processing such as writing reports, data analysis, or translation (this skill only retrieves content from the internet); write actions such as posting, commenting, or liking; platforms with a dedicated skill (use the dedicated skill first). [Routing] SKILL.md contains the routing table and common commands; for complex scenarios, read the relevant references/*.md by category as needed. Categories: search / social (小红书/推特/B站/V2EX/Reddit) / career (LinkedIn) / dev (github) / web (webpages/articles/RSS) / video (YouTube/B站/podcasts).
Use when auditing a user-facing app — web, mobile (iOS/Android/React Native/Flutter), desktop, CLI, or games — for accessibility barriers or WCAG 2.2 conformance, before shipping UI changes, or in response to concerns about screen-reader, keyboard, low-vision, motor, cognitive, or photosensitive users. Not for general bug hunting or code correctness.
Use when adding Spring AI-specific model observations, token usage, latency, externally configured cost attribution, advisor telemetry, or protected prompt and completion logging. Use production-observability for general service metrics, health, logs, and OTLP setup.
Guides structured triage of security alerts using a four-phase methodology (collect, correlate, classify, escalate) mapped to MITRE ATT&CK v16 and aligned with NIST SP 800-61 Rev 2 incident handling guidelines. Auto-invoked when the user discusses alert investigation, asks "is this a true positive?", or shares alert data requiring disposition. Produces a triage decision with priority assignment, disposition category, and escalation recommendation.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Use when editing images with Alibaba Cloud Model Studio Qwen Image Edit models (qwen-image-edit, qwen-image-edit-plus, qwen-image-edit-max, qwen-image-2.0 series and snapshots). Use when modifying existing images (inpaint, replace, style transfer, local edits), preserving subject consistency, or documenting image edit request/response mappings.
Analyzes the ClickHouse mark cache, uncompressed cache, query cache and compiled expression cache, their hit ratios and their RAM footprint. Use when cache hit ratios are poor, caches take too much RAM, mark counts look excessive, or cache sizing needs tuning.
Rules, design tokens, card structures, motion physics, and component architecture for the Amicro UI library. Use whenever creating or modifying UI components, page sections, micro-interactions, or transition features in the Amicro repository
Find and enrich B2B leads from Booking.com - hotels, apartments, and vacation rentals - and pull each host's or property manager's real contact details (email, phone, company name, registration number). Use when the user says things like "get emails from Booking.com", "Booking.com lead generation", "find tour operator / property manager / host contacts", "scrape accommodation owner emails", or "build a list of Booking hosts". The host's email is usually already inside the Booking scraper's traderInfo field (EU/AU trader-transparency disclosure) - this skill leads with that and uses a Google Maps email scraper only as a fallback, instead of relying on Google Maps first (which mostly returns the wrong business).
Organize durable agent research outputs as summaries, analysis, and evidence dossiers. Use when producing multi-layer research artifacts or coordinating research handoffs. Do not use this skill for unrelated requests; route to the nearest named specialist.
Create Docker containers for Huawei Ascend NPU development with proper device mappings and volume mounts. Use when setting up Ascend development environments in Docker, running CANN applications in containers, or creating isolated NPU development workspaces. Supports privileged mode (default), basic mode, and full mode with profiling/logging. Auto-detects available NPU devices.
Produce high-fidelity design mockups using HTML as the medium (landing pages, slides, interactive prototypes, animations, design systems, infographics, mobile mockups, etc.). Act as a professional designer rather than a generalist frontend engineer, emphasizing asking before doing, referencing existing design systems, offering multiple variants, and avoiding AI-style clichés. Triggers: /axi-front-design, "做个落地页", "设计一张海报/封面", "做张幻灯片/PPT", "做个交互原型", "做个动画", "design a landing page", "make a deck", "prototype this UI", "design system", "hi-fi mockup". Not applicable: plain text content/logic code, needs real image generation (use an image generation model instead), needs native PPTX/Figma files (HTML preferred).
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Designs structured benchmarks comparing algorithms, models, or implementations with metrics, test cases, hardware context, and reproduction steps. Triggers on: "benchmark", "compare performance", "which is faster", "latency comparison", "run benchmark", "throughput test", "speed test".
Use when adding `CapturePlugin` to record a `Camera3d` or `Camera2d` to video, spawning `CaptureBundle` with `RenderTarget::target_headless`, calling `Capture::start` with `Mp4Openh264Encoder`, `Mp4FfmpegCliEncoder`, `Mp4FfmpegCliPipeEncoder`, `GifEncoder` or `FramesEncoder`, pausing with `Capture::pause`, or hitting "failed to select a version for bevy_capture" because the crate still pins Bevy 0.19 while your app is on Bevy 0.20.
Build, diagnose, and deliver Blender still, turntable, sequence, and animation renders with reproducible lighting, camera, color-management, compositor, and output settings. Use when a request concerns product visualization, cinematic shots, architectural renders, look development, render passes, denoising, compositing, or final image/video delivery.
Audit and score blog posts on a 5-category 100-point scoring system covering content quality, SEO optimization, E-E-A-T signals, technical elements, and AI citation readiness. Includes AI content detection (burstiness, phrase flagging, vocabulary diversity). Supports export formats (markdown, JSON, table) and batch analysis with sorting. Generates prioritized recommendations (Critical/High/Medium/Low) with specific fixes. Works with any format (MDX, markdown, HTML, URL). Use when user says "analyze blog", "audit blog", "blog score", "check blog quality", "blog review", "rate this blog", "blog health check".
Verify statistics and claims in blog posts by fetching cited source URLs and checking if the claimed data actually appears on the page. Extracts all statistical claims (numbers, percentages, named sources), fetches each cited URL via WebFetch, and scores match confidence (exact match 1.0, paraphrase 0.7-0.9, not found 0.0). Flags uncited claims as UNVERIFIED. Use when user says "fact check", "verify statistics", "check sources", "validate claims", "factcheck", "source verification".
Full-lifecycle blog engine with 30 sub-skills, 12 content templates, 5-category 100-point scoring, and 5 specialized agents. Routes user requests to the right sub-skill: writing, rewriting, analysis, outlines, audits, schema, charts, images, repurposing, AI-citation optimization, FLOW framework prompts, topic-cluster execution, and multilingual publishing. Optimized for Google rankings (December 2025 Core Update, E-E-A-T) and AI citations (GEO/AEO). Supports any platform (WordPress, Next.js MDX, Hugo, Ghost, Astro, Jekyll, 11ty, Gatsby, HTML). Use when user says "blog", "write a blog", "blog post", "blog strategy", "content brief", "editorial calendar", "blog audit", "blog optimization", "topic cluster", "multilingual blog", "FLOW framework", or any /blog subcommand. Sub-skill descriptions cover narrower triggers.
Write new blog articles from scratch optimized for Google rankings and AI citations. Generates full articles with template selection, answer-first formatting, Key Takeaways summary box, information gain markers, citation capsules, sourced statistics, Pixabay/Unsplash images, built-in SVG chart generation, FAQ schema, internal linking zones, and proper heading hierarchy. Supports MDX, markdown, and HTML output. Use when user says "write blog", "new blog post", "create article", "write about", "draft blog", "generate blog post".
Brand identity building blocks: positioning, personality, archetypes, logo systems, color palettes, type pairing, voice, and guidelines documentation. Use when creating a brand, rebranding, or turning an existing identity into tokens and rules others can follow.
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.