Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Guide for implementing navigation in Next.js Server Components using Link component and redirect() function. Covers the difference between server and client navigation methods. Use when adding links, redirects, or navigation logic in server components without converting them to client components unnecessarily.
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
Use this skill when the user asks whether an automation or AI agent would pay off, where to start automating a process, how much time a change gives back, or for a short internal justification. Answers from the conversation first; when the user names a pipe, reads what already runs there before pointing at a step. Not for diagnosing a whole pipe (pipefy-process-intelligence), designing one (pipefy-process-design), building (pipefy-building), or what a change breaks elsewhere.
Use when an agent needs to make a HyperFrames video of a Strudel live-coding track, where the code itself is the picture and every token lights up on the note it plays. Trigger on: "strudel video", "live coding video", "show my code playing", "make a video of this track with the code", "prod by claude". Covers composing the track, recording it offline from pinned Strudel, and building the 1080x1080 video (typed opener, parts powering on, real Strudel theme switches, graffiti ASCII drops, typed sign-off).
Audits and improves project or workspace organization using constraint-first, project-neutral structure rules. Use when Codex needs to scan, reorganize, declutter, or decide where files belong in any app, library, service, data/ML project, infrastructure repo, docs/content project, automation repo, creative asset project, workspace folder, or mixed monorepo
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.
Ruby on Rails testing best practices for writing effective, maintainable test suites with RSpec. This skill should be used when writing, reviewing, or refactoring Rails tests to ensure proper test design, data management, and coverage patterns. Triggers on tasks involving RSpec specs, model tests, request specs, system tests, factory definitions, Capybara interactions, Sidekiq job tests, or test suite optimization. Complementary to rails-dev, ruby-optimise, and ruby-refactor skills.
Builds, optimizes, and debugs cross-platform mobile applications with React Native and Expo. Implements navigation hierarchies (tabs, stacks, drawers), configures native modules, optimizes FlatList rendering with memo and useCallback, and handles platform-specific code for iOS and Android. Use when building a React Native or Expo mobile app, setting up navigation, integrating native modules, improving scroll performance, handling SafeArea or keyboard input, or configuring Expo SDK projects.
Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.
Research credible options for a technical decision and recommend one (a tool, library, framework, architecture, or service), grounded in primary sources with cited, dated evidence. Use when the user asks “which should I use, A or B,” “compare X and Y,” “evaluate options for Z,” “what’s the best tool/library/service for …,” “should we use X or Y,” “research X before we build,” or runs “/researchkit”—decision research that comes before a plan.
Deterministic LLM-first SEO audits for websites, blog posts, and GitHub repositories. Use this when the user asks to "perform SEO analysis", "run SEO audit", "analyze SEO", "check technical SEO", "review schema", "Core Web Vitals", "E-E-A-T", "hreflang", "GEO", "AEO", or GitHub repository SEO optimization. For full/page/repo audits, run bundled scripts for evidence and return prioritized, confidence-labeled fixes
Create or update a project charter from interactive or provided principles, ensuring all dependent templates stay in sync. Use for project management, standards development, charter maintenance, and team collaboration. Trigger terms include "speckit章程", "创建章程", "更新章程", "项目章程", "制定规范", and "团队章程".
Implements Syncfusion Angular DataManager for local/remote binding, CRUD, querying, caching, and middleware. Supports JsonAdaptor, ODataAdaptor, ODataV4Adaptor, UrlAdaptor, WebApiAdaptor, WebMethodAdaptor, RemoteSaveAdaptor, GraphQLAdaptor, CustomDataAdaptor, and CustomAdaptor. Covers Query class, filtering, sorting, paging, grouping, persistence, offline mode, caching, and error handling.
Build and test Polymarket prediction market trading strategies for YES/NO token trading. Provides 6 tools: get_all_prediction_events (browse markets, $0.001), get_prediction_market_data (analyze price history, $0.001), create_prediction_market_strategy (generate code, $1-$4.50), run_prediction_market_backtest (test performance, $0.001). Trade on real-world events (politics, economics, sports, crypto). Currently simulation only (live deployment coming soon).
Show a frontend change in a real browser or prove it for a PR: drive the feature, capture screenshots (plus a short GIF as proof), and publish the proof so a pull request can embed it inline; or set up the browser driver and publishing path on a machine. Use when a frontend change is built and you want to see it or get visual evidence that it works before opening the PR: “show me what it looks like,” “screenshot this,” “verify this feature,” “record the flow working,” “prove the UI change,” “/verifykit,” when a PR needs proof artifacts attached, “set up verifykit,” or “install the browser driver.”
Find unused and rarely queried metrics in VictoriaMetrics using the metric_names_stats API, then suggest optimization actions (drop rules, relabel configs). Use this skill when the user wants to find unused metrics, identify wasted storage, optimize metric ingestion, reduce cardinality by dropping unneeded metrics, clean up scrape targets, or asks about which metrics are never queried. Also trigger when the user mentions "metric cleanup", "unused series", "what metrics can I drop", "metric optimization", "wasted ingestion", or wants to reduce VictoriaMetrics resource consumption by eliminating unnecessary metrics.
Use when: User wants to run Archon workflows, CREATE workflows or commands, set up Archon, or manage Archon configuration. Triggers (run): "use archon to", "run archon", "archon workflow", "use archon for", "have archon", "let archon", "ask archon to". Triggers (create): "create a workflow", "write a workflow", "make a command", "author a workflow", "new workflow", "new command", "archon workflow yaml". Triggers (setup): "set up archon", "install archon", "how to use archon", "configure archon", "archon setup", "get started with archon". Triggers (config): "change my archon config", "modify archon config", "archon config", "change archon settings", "update my config", "help me change my config", "edit archon config", "archon configuration". Triggers (init): "initialize archon", "set up .archon", "archon init", "add archon to repo". Capability: Runs AI workflows in isolated git worktrees for parallel development. Also: Creates and manages workflow YAML files, command files, and configuration. NOT for: Direct Claude Code work - only for delegating to Archon CLI
Use this skill when the user asks to "trigger a build", "check build status", "watch a build", "view build logs", "rebuild a build", "cancel a build", "list builds", "list jobs", "unblock a job", "download artifacts", "manage secrets", "create a pipeline", "list pipelines", "validate a pipeline", "copy a pipeline", "run a local agent", or "interact with Buildkite from the command line". Also use when the user mentions bk commands, bk build, bk job, bk pipeline, bk secret, bk artifacts, bk cluster, bk queue, bk package, bk agent, bk auth, bk config, bk use, bk browse, bk api, bk skill, or asks about Buildkite CLI installation, authentication, terminal-based Buildkite workflows, or command-line CI/CD operations.
Volcano Engine AI MediaKit voiceover-editing Skill: an end-to-end workflow for cutting talking-head / voiceover content. Covers environment setup, media asset management, audio processing, voiceover editing, video export, review UI, and self-iteration. You MUST invoke this Skill when the user mentions voiceover editing, cutting voiceover video, removing pauses, processing audio, exporting voiceover output, auto-editing, removing verbal slips, or video editing in this sense—or the Chinese phrases 口播剪辑, 剪口播, 剪视频, 去掉停顿, 处理音频, 导出口播, 自动剪辑, 去除口误, 视频剪辑. Also invoke when the user uploads video or audio and requests editing
Read a Canva design and return structured, actionable design feedback — visual hierarchy, copy/messaging, layout and spacing, consistency, readability, and accessibility. Read-only; makes no changes to the design. Use when the user asks to “review my design,” “give me feedback on this,” “critique my deck/poster/flyer,” “how can I improve this design,” or “what's wrong with this slide.”
Implement reviewer feedback on a Canva design. Reads all comment threads, synthesises what reviewers want, makes the clear-cut changes directly, and flags anything that needs a human decision. Use when the user asks to “implement feedback on my deck”, “address comments on a design”, “apply review feedback”, “fix the comments on my presentation”, or “implement the feedback”
Build interactive chat agents for exploring and discussing academic research papers from ArXiv. Covers paper retrieval, content processing, question-answering, and research synthesis. Use when building research assistants, paper summarization tools, academic knowledge bases, or scientific literature chatbots.
Perform bulk code refactoring operations like renaming variables/functions across files, replacing patterns, and updating API calls. Use when users request renaming identifiers, replacing deprecated code patterns, updating method calls, or making consistent changes across multiple locations
Use the local Codex CLI as an independent second agent. Two branches: (1) proactively run `codex review` for a second opinion after completing a substantive change, before presenting it as done or committing; (2) delegate a well-defined implementation task via `codex exec` only when the user explicitly asks for Codex to do it. Also covers how to prompt Codex.
Implement, extend, and debug Contentful personalization. Use onboarding for new, project-wide, or unknown setups; use extend-existing only for scoped work on an explicitly working integration. Trigger keywords: personalization, optimization, ninetailed, A/B test, experiment, multivariate test, targeting, audience targeting, segments, variants, content variants, set up personalization, implement personalization, enable personalization, personalization not working, personalization broken, personalize this component, am I ready for personalization, experience API, Contentful Experiences, Experiences SDK, Studio Experiences, personalization in Next.js, @contentful/optimization, @ninetailed/experience.js, run an experiment, check this URL, debug this live page, inspect network requests, check console errors, experience.ninetailed.co
Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample data'.
Use for vague whole-app design system asks on an app that already ships UI, such as “our UI is a mess, fix it”, “we need a design system”, “we hardcode colors everywhere”, “make the buttons consistent” or “check the app before I ship”. One named screen goes to ui-review, one component to component-docs, a token report to token-mapping. A repo with no UI yet is out of scope.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Produces Word (.docx) and exports existing Word/WPS manuscripts to PDF, preserving revisions, tables, and images, especially Chinese formal documents via a verified OpenXML generator with mandatory visual verification. Use for 生成 Word 文档 / 写合同 docx / 把 markdown 转成 Word / 中文排版. Not for Markdown → PDF (use daymade-docs:pdf-creator).
Maintain a project's domain model as a consented record of settled understanding: the CONTEXT.md overview and glossary of the ubiquitous language, and docs/adr/ decision records. Use when a domain term needs pinning down, when a hard-to-reverse trade-off decision gets settled, when the user says "update the glossary" or "write an ADR", or when another skill needs the domain model kept current; when the user says "set up CONTEXT.md" or "write the project overview"; or when the user asks "is CONTEXT.md still accurate" or says "audit the glossary".
Expert guide for Electron development with Electron Vite and Electron Builder. Use when developing Electron applications, working with main/renderer processes, IPC communication, preload scripts, security configuration, native module handling, or build/distribution setup.
Promote a Factorial Code app's code from its dev workspace to its prod workspace — fcode clone the dev- workspace, remote:add the prod- workspace, pull prod's current metadata, then add and push. Use when releasing, promoting, or deploying a Factorial Code (fcode) app's dev workspace to production, or pushing a dev- workspace's code to its prod- counterpart.
Expert blueprint for racing games including vehicle physics (VehicleBody3D, suspension, friction), checkpoint systems (prevent shortcuts), rubber-banding AI (keep races competitive), drifting mechanics (reduce friction, boost on exit), camera feel (FOV increase with speed, motion blur), and UI (speedometer, lap timer, minimap). Use for arcade racers, kart racing, or realistic sims. Trigger keywords: racing_game, vehicle_physics, checkpoint_system, rubber_banding, drifting_mechanics, camera_feel.
Nuwa creates people: enter a person's name or topic, or even just a vague need, to automatically conduct in-depth research → distill a thinking framework → generate a runnable persona Skill. Two entry paths: (1) a specific name → distill directly; (2) a vague need → diagnose and recommend → then distill. Triggers: "create a skill", "distill XX", "Nuwa", "create a person", "XX's way of thinking", "make an XX perspective", "update XX's skill". Vague needs also trigger it: "I want to improve my decision-making", "Is there a way of thinking that could help me...", "I need a thinking consultant".
Xcode setup and tooling guidance for iOS 26 / Swift 6.2 clinic modular MVVM-C projects covering project configuration, SwiftData container wiring, testing, debugging, profiling, and distribution workflows. Use when configuring App-target infrastructure or day-to-day tooling around clinic architecture modules.
The official Skill for operating cloud documents in Kingsoft Docs (WPS Cloud Docs / Kdocs / 365.kdocs.cn / www.kdocs.cn). Core capabilities cover creating, reading, editing, searching, sharing, and organizing online documents in the cloud (Smart Docs, Word, Excel, PDF, PPT, presentations, Smart Spreadsheets, multidimensional tables) and personal knowledge bases. Use when the user's task involves cloud document operations, including but not limited to: writing weekly/daily reports or work summaries; handling contracts/invoices; creating signup or registration forms; clipping web pages; converting group sign-ups into spreadsheets; collecting information; summarizing documents and generating content; rewriting or imitating text; translating; generating AI PPTs; splitting and exporting PDFs; tagging, categorizing, and archiving; managing favorites; organizing notes; beautifying spreadsheets; restoring items from the recycle bin; and managing knowledge bases.
Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weapons, substances, self-harm, criminal planning. 94-95% accuracy. Deploy with vLLM, HuggingFace, Sagemaker. Integrates with NeMo Guardrails.
Use when adding or fixing Luau type annotations - luau-lsp/luau-analyze errors, --!strict compliance, "Type X could not be converted into Y", generics, union types, type narrowing/refinements, casts (::), typed metatables and OOP, .d.luau definitions, or .luaurc setup. Triggers include "type error", "strict mode", "luau-lsp", "type mismatch", "export type".
Use the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Available tools: memory_search, memory_get, memory_write_public, memory_share, memory_unshare, task_summary, skill_get, skill_search, skill_install, skill_publish, skill_unpublish, network_memory_detail, network_skill_pull, network_team_info, memory_timeline, memory_viewer.
Guide for Next.js App Router dynamic routes and pathname parameters. Use when building pages that depend on URL segments (IDs, slugs, nested paths), accessing the `params` prop, or fetching resources by identifier. Helps avoid over-nesting by defaulting to the simplest route structure (e.g., `app/[id]` instead of `app/products/[id]` unless the URL calls for it)
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only 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.