Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Render music videos from audio files and lyrics using Remotion. Accepts audio + LRC/JSON lyrics + title to produce MP4 videos with waveform visualization and synced lyrics display. Use when users mention MV generation, music video rendering, creating video from audio/lyrics, or visualizing songs.
Add TikTok-style, karaoke, YouTube or minimal captions to your Remotion video. Gets word-level captions through the official remotion-captions flow (whisper-webgpu, or ElevenLabs Scribe via @remotion/elevenlabs when there's no GPU), or imports the user's SRT with parseSrt, places one official caption element per clip, and applies a style preset with platform-safe placement.
Generate a voiceover narration and add it to your Remotion project. Provide a script or describe what the narration should say, and this will generate per-scene ElevenLabs TTS audio (official ElevenLabs text-to-speech skill) and wire it into your composition.
Guides creation of UI/UX designs, interactive prototypes, reusable components, and design specs in Adobe XD. Use when the user asks about Adobe XD artboards, prototype links, repeat grids, component states, design tokens export, or developer handoff.
This skill should be used to audit an existing or legacy ADR, especially one imported, LLM-generated, stale, or never self-critiqued. PROACTIVELY activate on "review this ADR", "critique this ADR", "audit our decision log", "is this ADR any good?", "fix this old ADR", "rewrite this legacy ADR", "ADR cleanup", "ADR quality sweep", "tighten this ADR", "score these ADRs", or "this ADR is too long." Provides: line-by-line ADR critique, filler/hedging/drift detection, and per-line approval workflow.
Use this skill when reviewing or refactoring existing Rust code that carries an alien mental model — OO/enterprise ceremony from Java/C#, garbage-collected object graphs, exception-style control flow, or imperative loops ported onto the borrow checker. It is the adversarial, architecture-level counterpart to greenfield idiom advice — it names the paradigm the code betrays and prescribes the deep refactor that collapses it, up to deleting whole layers (single-impl DI traits, Deref inheritance, Manager/Service structs, reflexive builders, Rc<RefCell> webs, clone-until-it-compiles, bool/String state machines, sentinel returns, catch_unwind try/catch, reflexive Box<dyn>, blocking calls inside async, fire-and-forget spawns). Every rule is grounded in the codex-rs production workspace (openai/codex) — the prescriptions are what that codebase actually does and lint-enforces. Applies whenever the work is "make this Rust actually Rust", "flatten this architecture", or a pedantic review of code fighting the language.
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.
Add agent-friendly --json NDJSON output to Python CLI scripts, or scaffold a complete cli_utils package for a project. Use this skill when the user wants to make scripts machine-readable for AI agents, add --json flags, convert print statements to structured JSON, build a CLI helper library, create an open-source CLI-for-agents package, add structured logging, or make CLI output machine-readable. Also use when the user mentions NDJSON, structured CLI output, agent-friendly CLI, non-interactive scripts, or JSON I/O for automation.
Use when the user wants to build a CLI tool to automate browser interactions on a specific website using kimi-webbridge. Invoke when user says "create a CLI for X site", "build a tool to automate X", or wants to control a website programmatically via an AI agent.
Build agentic RAG systems with autonomous planning, reflection, and tool use. Use this skill when implementing agent-driven retrieval, query decomposition, iterative refinement, or multi-source RAG orchestration. Activate when: agentic RAG, A-RAG, autonomous retrieval, query planning, iterative RAG, multi-step retrieval, agent retrieval, RAG agent.
Query Catalog, database, and table metadata resources in Alibaba Cloud Data Lake Formation (DLF). Provides read-only queries via the DLF OpenAPI Python SDK, supporting listing and viewing Catalogs, databases, tables with their detailed information and Schema definitions. Use cases: "list available Catalogs", "list databases", "view table schema", "search tables", "search tables by name", "fuzzy search", "view DLF metadata", "what databases are in the data lake", "what columns does a table have", "find tables whose name contains xxx". This Skill only contains read-only operations — no create, modify, or delete operations.
Use this skill when users want to search, discover, browse, or find Alibaba Cloud (阿里云) agent skills. Triggers include: "find a skill for X", "search alicloud skills", "阿里云有什么 skill", "搜索阿里云技能", "有没有管理 ECS/RDS/OSS 的 skill", "阿里云 skills 有哪些类目", "帮我找一个 skill", "browse alicloud skills", "list alicloud skill categories", "is there an alicloud skill that can...", "what alicloud skills are available", "XX Skill 的内容是什么", "我想了解阿里云 XX Skill 具体做什么", "帮我安装阿里云 Skill" "阿里云 agent skill 市场", "搜一下阿里云的 skill".
Use this Skill for Alibaba Cloud Lindorm work: instance lifecycle and configuration, networking and access control, monitoring, performance, storage, connection diagnosis, backup, migration, permissions (including Lindorm SQL user management with `CREATE USER` and `GRANT`), slow queries, SQL development, and Search, vector, graph, AI, multimodal, or knowledge-base workflows. Trigger on Lindorm product or CLI terms such as LindormTable, LindormTSDB, LindormSearch, Lindorm AI, HBase/AliHBase, lindormcli, Lindorm CLI, `aliyun lindorm`, or Chinese requests mentioning 宽表引擎、时序引擎、搜索引擎、向量检索、图引擎、白名单、实例创建/扩缩容/释放. Use this Skill's references or official Alibaba Cloud documentation; do not invent Lindorm-specific facts from general training knowledge.
Mixed methods research design and integration strategies for combining qualitative and quantitative approaches. Use when planning convergent, explanatory sequential, exploratory sequential, embedded, transformative, or multiphase designs; when integrating diverse data sources through merging, connecting, or embedding; when constructing joint displays or meta-inferences; or when evaluating quality criteria specific to mixed methods research. Covers Creswell & Plano Clark frameworks, notation systems, and software tools for integration. For single-strand qualitative coding (thematic analysis, grounded theory, saturation, inter-coder reliability) use alterlab-qualitative-methods; for questionnaire/Likert/instrument-validation mechanics use alterlab-survey-design. Part of the AlterLab Academic Skills suite.
Creates performant CSS-first web animations and chooses the right feedback for an interaction: transitions, View Transitions, scroll-driven motion, Motion for React, reduced motion, and perceived performance. Triggers on “animate this,” “hover effect,” “feel faster,” “skeleton loader,” and “/animations.”
Analyze images, websites, and Figma files to extract their design and generate a `design.md` with token system, component inventory, and reconstruction notes. Use this skill whenever the user wants to understand, document, replicate, or audit the design of something visual: a screenshot, a URL, a Figma link, a Pinterest reference, a mockup, a competitor's site, a component, a dashboard, a landing page. Also when they ask 'extract the design system from X', 'document the style of Y', 'analyze this visually', 'convert this image into tokens', 'help me replicate this design', 'what palette does this site use', 'how is this built'. Also for single elements: 'copy this navbar', 'recreate this illustration', 'give me a prompt to regenerate this graphic' — element mode outputs a focused element.md, with token-grounded image-model prompts when the element is visual art. If the user brings any visual source and wants to understand it at a design level — this skill should activate.
Pre-submission review for iOS apps targeting the Apple App Store. Scans your Xcode project for common rejection reasons — missing privacy strings, icon issues, entitlement mismatches, missing privacy manifests, account deletion requirements, Sign in with Apple, and more. Use this skill whenever the user wants to check their iOS app before submitting to the App Store, asks about App Store rejection reasons, wants to validate their Xcode project configuration, or mentions anything about App Store review, TestFlight submission, or app approval. Also use when the user mentions Info.plist privacy keys, PrivacyInfo.xcprivacy, App Store Connect, or asks "why was my app rejected." Even if the user just says "check my app" or "review my iOS project" in the context of an Xcode/Swift project, use this skill.
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.
Debug HarmonyOS ArkWeb applications using Chrome DevTools Protocol. Use when Claude needs to: (1) Start ArkWeb debugging sessions, (2) Connect Chrome DevTools to HarmonyOS apps via hdc, (3) Inspect webview elements, console, and network, (4) Test ArkWeb applications with Chrome DevTools MCP, (5) Troubleshoot webview debugging issues, or (6) Manage port forwarding and debugging sessions. Automatically detects project configuration, device connection, and debugging sockets. Works with ohos-app-build-debug skill for complete workflow.
Guide to Sonner, the React toast library — install and wire up the Toaster, pick the right toast() call, promise and loading toasts, updating, dismissing and persisting toasts, styling, theming and icons, positioning and multiple toasters. Use when working with Sonner or troubleshooting it — toasts that don't appear, appear twice, lose their styles, ignore Tailwind classes, sit behind a modal, or don't follow dark mode.
Use this skill to verify a Compose semantics node's properties from a UI test using `assertExists`, `assertDoesNotExist`, `assertIsDisplayed`, `assertIsNotDisplayed`, `assertIsDeactivated`, `assertIsEnabled`, `assertIsOn`, `assertIsOff`, `assertIsSelected`, `assertIsFocused`, `assertTextEquals`, `assertTextContains`, `assertContentDescriptionEquals`, `assertValueEquals`, `assertRangeInfoEquals`, `assertHasClickAction`, plus the generic `assert(matcher)` escape hatch and the boolean `isDisplayed()` / `isNotDisplayed()` for `waitUntil` predicates. Covers collection variants `assertCountEquals`, `assertAny`, `assertAll`. Use when the developer wants to verify a Switch is on, a Button is enabled, a Text shows the expected string, a node is displayed vs merely composed, or asks about `assertIsDisplayed` vs `assertExists`. If the developer mentions any `assert*` API on `SemanticsNodeInteraction`, use this skill.
Reasoning skill for designing AWS GenAI and ML architectures for healthcare and life sciences workloads. Use when the user asks to choose between SageMaker and Bedrock, design a RAG system over medical literature, architect clinical NLP or medical imaging inference, plan genomics or drug discovery pipelines on AWS, address HIPAA/PHI compliance in ML systems, design MLOps for regulated clinical models, or optimize cost for HCLS ML workloads. Triggers include "AWS architecture", "SageMaker vs Bedrock", "HIPAA ML", "clinical RAG", "medical imaging inference", "genomics on AWS", "PHI training", "MLOps healthcare", "Bedrock guardrails", "HealthLake", "HCLS cloud architecture", "BAA compliance", "SageMaker endpoint", "Bedrock knowledge base", "clinical NLP on AWS", "FDA SaMD on AWS".
Migrates a local SQL Server setup to the Azure SQL Database container for Azure-faithful local development. Use when a project already uses mcr.microsoft.com/mssql/server, mssql/server, an sqlcmd plus SA password docker setup, a "SQL Server in docker" or "local mssql container", or a docker-compose with the mssql/server image; and use when the user asks for "SQL Server locally", "run mssql in Docker", "spin up a local SQL database", or "test against SQL Server" but actually wants the Azure SQL Database engine (EngineEdition 5). Detects the SQL Server image, rewrites it to the Azure SQL Database container, lets the runtime select the image architecture, keeps the SA login, flags SQL Server-only features (SQL Agent, FILESTREAM, full Service Broker, cross-server distributed transactions, Windows Auth), and re-points connection strings from master to a provisioned user database.
Imports an existing Azure SQL Database or SQL Server schema and data INTO the local Azure SQL Database container using SqlPackage. Use when asked to "import a bacpac", "load my existing database locally", "restore a dacpac into the container", "bring my prod schema into the dev container", "run my .bacpac/.dacpac against the local Azure SQL engine", or migrate an existing database into the preview container. Handles provisioning the target database on master first, then running SqlPackage /Action:Import against the provisioned user database. Use this for any "get my real database running in the container" request instead of hand-writing SqlPackage flags.
Deploy, download, and manage cartridge code versions on B2C Commerce instances. Use this skill whenever the user needs to upload or download cartridges to/from a sandbox, activate or delete code versions, watch for local file changes during development, or deploy a subset of cartridges. Also use when pushing code to an instance, pulling code from an instance, or setting up a dev workflow with live reload -- even if they just say 'push my code to the sandbox', 'download the code', or 'how do I activate the new version'.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `src/backend/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.
BigQuery Expert Engineer Skill - Comprehensive guide for GoogleSQL queries, data management, performance optimization, and cost management Use when: - Running bq commands (query, load, extract) - Writing GoogleSQL queries (functions, JOINs, CTEs) - Designing partitioned/clustered tables - Using BigQuery ML or external data sources
Download Bilibili video subtitles, chunk them for LLM processing, and generate high-quality summaries. Use when the user provides a Bilibili BV number or URL and wants a summary, key points, or a detailed breakdown of the video content.
Write, structure, and update a business plan for a solopreneur. Use when creating a plan from scratch, updating an existing plan after a pivot or new phase, or preparing a plan to share with investors, partners, or even just to clarify your own strategy. Covers executive summary, market analysis, competitive positioning, revenue model, operations plan, financial projections, and risk assessment — all adapted for a one-person business. Triggers on "write a business plan", "business plan", "create my plan", "business plan template", "update my business plan", "plan for my business", "investor pitch plan".
Set HTTP cache headers on tRPC query responses via responseMeta callback for CDN and browser caching. Configure Cache-Control, s-maxage, stale-while-revalidate. Handle caching with batching and authenticated requests. Avoid caching mutations, errors, and authenticated responses.
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.