Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Create reference-free 5:2 editorial technology covers with exact #FAF9F5 backgrounds, large left-aligned typography, adaptable grid geometry, and a newly generated right-side diagram. Use when the user asks for “RN封面,” “编辑图解风格封面,” “左文右图暖白封面,” “无参考图生成同类封面,” or a premium AI research/editorial cover with charcoal paths and a restrained coral accent. Generate fresh transparent right-side artwork for each new cover, then compose exact text and a flexible editorial layout into editable SVG and PNG.
Triage Roblox game slices and bug reports through a small state machine so only fully-specified, playtestable work gets built. Use when the user wants to review incoming slices or bugs, decide what to build next, prepare a slice for building, mark work ready, or manage the roadmap/issue workflow. Keeps Claude from picking up vague, half-specified work and building the wrong thing.
Generate images, videos, audio, and 3D models via the RunningHub API (420 endpoints) and run any RunningHub AI Application (custom ComfyUI workflow) by webappId. Covers text-to-image, image-to-video, text-to-speech, music generation, 3D modeling, image upscaling, AI apps, and more.
Configure, operate, diagnose, and automate Cargo for Rust packages and workspaces. Cover manifests and targets, commands, dependency resolution and features, profiles, build scripts, configuration and environment variables, caches and build diagnostics, cross-compilation, registries, packaging, publishing, metadata, CI reproducibility, and stable-versus-nightly feature gates. Use for Cargo.toml, Cargo.lock, .cargo/config.toml, cargo build/check/run/tree/metadata/package/publish, resolver or feature problems, build output and performance, private registries, and beginner Cargo workflows. Route crate selection and supply-chain audits to rust-dependencies, workspace topology to rust-workspace, test design to rust-testing, documentation design to rust-documentation, lint policy to rust-style-clippy, and API compatibility decisions to rust-semver.
Acts as a Senior Staff Engineer to enforce high-quality software development standards. Use this skill when the user asks for code implementation, architectural review, debugging, or technical design. It ensures all code is production-ready, typed, and architecturally sound.
Core Shopify Hydrogen 2026.10 APIs — the server.ts request lifecycle (handleShopifyRoutes, handleShopifyRedirects), request-scoped Storefront client with gql() + graphql(), explicit caching, the /api/cart handlers and cart store, and the classic helpers you now port locally.
Agent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.
Slack automation CLI for AI agents. Use when: - Reading a Slack message or thread (given a URL or channel+ts) - Browsing recent channel messages / channel history - Getting all unread messages across channels - Listing saved-for-later messages (Slack "Later" list) - Searching Slack messages or files - Sending, editing, or deleting a message; adding/removing reactions - Uploading files/images to channels or threads (including stdin piping) - Downloading Slack files and attachments to local paths - Listing, inspecting, or deleting files - Listing channels/conversations; creating channels and inviting users - Fetching a Slack canvas as markdown - Looking up Slack users - Marking channels/DMs as read - Opening DM or group DM channels - Listening for new messages in real time (waiting for a reply, watching for mentions/DMs) Triggers: "slack message", "slack thread", "slack URL", "read slack", "reply on slack", "search slack", "channel history", "recent messages", "mark as read", "unread messages", "unread", "what did I miss", "saved messages", "saved for later", "later list", "upload file", "send image", "download file", "slack file", "attach file", "listen", "watch slack", "wait for a reply", "notify me when"
Develop Microsoft Fabric Spark/data engineering workflows and write code in Fabric Notebook cells with routing to resources. Provides workspace/lakehouse management, notebook code authoring (PySpark, Scala, SparkR, SQL), and Materialized Lake View (MLV) authoring (Spark SQL MLVs support incremental refresh; PySpark is full-refresh only). Routes to data engineering patterns, development workflow, or infrastructure orchestration. For existing MLV refresh or schedule management, use `mlv-operations-cli`. Triggers: "develop notebook", "Delta Lake patterns", "Spark development", "lakehouse configuration", "write notebook code", "notebookutils", "notebook cell", "PySpark notebook", "%%sql cell", "%%configure", "fabric notebook", "run notebook", "notebook deployment", "materialized lake view", "MLV", "CREATE MATERIALIZED LAKE VIEW", "MLV incremental refresh", "review MLV for incremental refresh", "MLV refresh policy"
Load this skill whenever the project contains SVG graphics — inline SVGs, external SVG files, SVG icons, SVG illustrations, or SVG-based data visualizations. Under no circumstances use SVG without proper accessible titles, descriptions, and ARIA roles where required. Absolutely always add <title> and <desc> to meaningful SVGs and set role="img" with aria-labelledby pointing to those elements. Also apply this skill whenever the project accepts untrusted or user-uploaded SVG content, which requires sanitization before rendering.
Create, revise, and format thesis or dissertation Word documents with strict academic formatting control. Use when an AI agent needs to generate or revise thesis content, normalize Word styles, follow a school template, fix captions or page numbers or section levels, or produce evidence-based Mermaid figures and LaTeX-formatted code listings for a thesis document.
Coordinate Three.js WebGPU/TSL final-image graphs. Use when effects share scene-pass signals or output ownership, when choosing MRT versus reconstruction or narrow passes, when admitting temporal history, or when whole-graph budgets and lifetimes decide the design.
Compile procedural buildings, cities, and semantic site assemblies in Three.js r185 WebGPU/TSL. Use for building massing and facades, city-scale architectural batching and LOD, or deterministic placement of heterogeneous site assets around architecture.
Animate semantic state with deterministic Three.js WebGPU/TSL motion. Use for launch or staging kinematics, seekable transform timelines, recurrent fixed-step motion, frame-rate-independent follow, GPU-resident instance motion, moving-frame docking or reparenting, and environment-driven actors.
Hosted ChatCut plugin sessions only (the `chatcut` MCP server). If the conversation is driving ChatCut Desktop (a `chatcut_desktop*` MCP server), load this skill only when the user explicitly chooses the plugin/web surface — desktop sessions otherwise ship their own instructions and tools. Use for ChatCut transcription, transcript readiness, captions, subtitles, transcript repair, filler removal, and speech-led editing setup.
Integrate Tranzila payment processing into Israeli applications -- covers iframe payments, tokenization, installments (tashlumim), refunds, 3D Secure, and Bit wallet. Use when user asks to accept payments via Tranzila, integrate Israeli credit card processing, set up "slikat ashrai", handle tashlumim (installment payments), create payment tokens, process refunds through Tranzila, or mentions "Tranzila", "tranzila API", "secure5", or Israeli online payments. Supports both legacy CGI endpoints and modern API V2. Do NOT use for Cardcom integration (use cardcom-payment-gateway), general accounting, or non-payment financial queries
Create comprehensive design systems, brand identities, and UI component libraries. Use when the user says "create design system", "build brand identity", "design UI components", "generate design tokens", "create figma specs", "review my design", "analyze design trends", "audit accessibility", "convert design to code", or "create presentation deck". Covers 10 specialized roles from system architecture to executive presentations.
Text-to-Speech (TTS), voice cloning, voiceover, narration placement/sync, and custom sound effects (SFX) generator. Use when the user wants generated speech from text, wants to clone a consented voice from uploaded reference audio, wants to correct a misspoken word or short phrase in recorded speech, wants to add/replace/align narration or voiceover for an existing video/timeline, wants to keep existing voiceover synced after visual retiming edits, needs voice audition/selection, or explicitly wants a newly generated/custom sound effect that is not available in the Sound Effects library.
Automatically generates a personal weekly report from Git commit history and code changes. Use this skill when the user asks to generate a weekly report, summarize work, or compile this week’s work. Supports custom date ranges, author filters, output formats, and levels of detail.
Auto-grow a pro-workflow wiki by running a budget-capped BFS research loop over pluggable source fetchers (web, arXiv, GitHub). Each iteration pops a seed from the queue, fetches sources, drafts a wiki page, dedupes claims against existing pages, enqueues follow-up seeds. Halts on budget cap, depth cap, or convergence. Use when the user says "research <topic>", "grow the <slug> wiki", "auto-research", or wants a knowledge base that builds itself overnight.
Use when the user wants a 王建硕-style WeChat article (article.md) turned into a narrated short MP4 video — TTS voiceover via 火山引擎 Volcano TTS, HyperFrames CSS/GSAP animation per scene, subtle SFX, abstract watercolor background, full pipeline rendering to 1080×1920 portrait MP4 (30-90s). Triggers — "把这篇文章做成视频", "做一个解说视频", "讲解视频", "/wjs-converting-text-to-video".
Write English that a reader cannot misread: one meaning per word, active voice, simple tenses, one idea per sentence, short sentences. Based on ASD-STE100 (Simplified Technical English), the controlled-language standard written for aircraft maintenance manuals. Use it for any prose an agent produces that someone else acts on. That covers reports and findings, PR descriptions and commit messages, instructions handed to another agent, tool descriptions, error messages, status summaries, and prompts. Also use it on request, with triggers like "simplify this", "make this readable", "too dense", "rewrite in STE", "simplified technical english", "ASD-STE100".
How published videos are doing on YouTube, and what to learn from it. Views, likes, comments and subscribers per video, plus watch time, retention and traffic sources (Shorts feed, search, external) with the Analytics scope, saved as snapshots so trends show; GitHub traffic beside it to see whether YouTube sends people to the repo. Use when asked how a video or the channel is doing, which title, cover or genre worked, whether to make more of something, or for a weekly stats check
Use when managing DNS records for Zeabur-registered domains. Use when user says "add DNS record", "update DNS", "delete DNS record", "list DNS records", "set A record", "add CNAME", or "manage DNS". NOT for service domain binding (use zeabur-domain-url instead).
Use when you need Azure DevOps CLI guidance to verify installation, configure organization and project context, discover work item IDs by optional WIQL filters, and execute safe work-item create/update operations. Uses an interactive install gate - if `az` or the Azure DevOps extension is missing, ask whether to show installation guidance before any work item commands. This should trigger for requests such as Azure DevOps work item list; List Azure Boards work item IDs; Azure DevOps WIQL query; Azure DevOps CLI planning workflow. Part of Plinth Toolkit
Use this skill when the user wants to start the formal QRSPI/OpenSpec planning workflow for a ticket, bug, feature request, or proposed product/CLI/app change before implementation. Invoke it when the user wants a spec-driven change package with questions first, factual research, proposal/design artifacts, affected specs, and a vertically sliced task plan, with explicit review/approval stops before any coding begins. This is the right skill when the user wants to plan, scope, or break down the change itself, especially if they ask to use QRSPI, create an OpenSpec change, run a planning workflow, or stop before writing code. Do not use it to implement an existing spec, review or polish artifacts that already exist, generate generic architecture docs, archive completed changes, or support loose brainstorming without a request for formal QRSPI/OpenSpec outputs.
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
Audits host firewall state and network-edge exposure on Linux hosts — listener inventory and wildcard bindings, nftables/iptables/ufw/firewalld default-deny design, egress filtering, IPv6 parity, L4 rate limiting, admin-plane isolation, Docker NAT bypass, and cloud security-group reconciliation — with read-only evidence commands and hardened reference rulesets
Use when continuing, resuming, locating, reading, inspecting, auditing, or reviewing a previous AI coding-agent session, handoff transcript, chat log, exported conversation, saved artifact set, or session summary, on any platform (Claude Code, Codex, Cursor, Antigravity, OpenCode) or across several platforms in one ask, such as reviewing threads across Claude and Codex.
Create App Store and Google Play screenshots to exact platform specifications. Covers iOS/Android dimensions, gallery ordering, device mockups, and preview videos. Use for: app store optimization, ASO, app screenshots, app preview, Play Store listings. Triggers: app store screenshots, ASO, app store optimization, Play Store screenshots, app preview, app listing, iOS screenshots, Android screenshots, app store images, app mockup, device mockup, app gallery, store listing
Apple グラフィックス。Metal, Core Animation, Core Graphics, Core Image, SpriteKit, SceneKit。 MTLDevice, MTKView, MTLBuffer, MTLTexture, MTLResidencySet, MTLTensor, Metal 4 (MTL4CommandQueue, MTL4CommandBuffer, MTL4CommandAllocator, MTL4ArgumentTable, MTL4RenderCommandEncoder, MTL4Compiler), CALayer, CABasicAnimation, CADisplayLink, CAMetalDisplayLink, CAMetalDrawable, CGContext, CGPath, CGImage, CIFilter, CIContext, CIImage, CIRAWFilter, CIWarpKernel, CIBlendKernel, SKScene, SKSpriteNode, SKAction, SCNNode, SCNGeometry, SCNMaterial。
Expert knowledge for Azure Fluid Relay development including troubleshooting, best practices, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AzureClient, audience APIs, JWT auth tokens, container recovery, or Static Web Apps hosting, and other Azure Fluid Relay related development tasks. Not for Azure Web PubSub (use azure-web-pubsub), Azure SignalR Service (use azure-signalr-service), Azure Relay (use azure-relay), Azure Service Bus (use azure-service-bus).
Expert knowledge for Azure Spring Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ASA networking/security, Tanzu tools, observability/APM, CI/CD deployments, or blue‑green releases, and other Azure Spring Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Functions (use azure-functions).
Help with BAdI (Business Add-In) development, the ABAP enhancement framework, and the clean core level classification of enhancement techniques. Covers new BAdIs, fallback classes, filter-based BAdIs, enhancement spots, enhancement implementations, key user extensibility, classic BAdIs, allowed vs. non-allowed enhancement technologies, and replacing modifications and implicit enhancements. Use when users ask about BAdI, BAdIs, Business Add-In, enhancement spot, enhancement implementation, enhancement framework, BAdI filter, BAdI fallback, BAdI definition, BAdI implementation, key user extensibility, custom logic injection, enhancement point, implicit enhancement, explicit enhancement, allowed enhancement technologies, user exit, customer exit, modification, or extending SAP standard code. Triggers include "create a BAdI", "implement a BAdI", "enhancement spot", "find a BAdI", "BAdI filter", "fallback class", "key user extensibility", "extend standard", "enhancement framework", "replace modification", "implicit enhancement", or "which level is this enhancement".
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.
