Skills
98,284 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use when the user wants their Claude Code pet (/buddy) to sing a song. Triggers on any request that combines the concept of their Claude Code buddy, pet, or companion with singing or music. Supports multilingual triggers—match equivalent phrases in any language.
DDD tactical patterns for complex business modeling including entities, value objects, aggregates, domain services, repositories, specifications, and bounded contexts. Python dataclass implementations with TypeScript alternatives. Use when building rich domain models, enforcing invariants, or separating domain logic from infrastructure.
Use this skill whenever the user mentions IP geolocation feeds, RFC 8805, geofeeds, or wants help creating, tuning, validating, or publishing a self-published IP geolocation feed in CSV format. Intended user audience is a network operator, ISP, mobile carrier, cloud provider, hosting company, IXP, or satellite provider asking about IP geolocation accuracy, or geofeed authoring best practices. Helps create, refine, and improve CSV-format IP geolocation feeds with opinionated recommendations beyond RFC 8805 compliance. Do NOT use for private or internal IP address management — applies only to publicly routable IP addresses.
Set up Browser Use Cloud payments with x402 — pay per request from a crypto wallet (USDC on Base mainnet), no signup or API key. Two setups it works out up front — "just use it" (set up a wallet so you or Claude Code can run cloud browser tasks paid from the wallet — Claude writes and runs throwaway scripts, nothing touches your codebase) or "build it in" (install the SDK and write the key + code into your project). Walks through wallet setup, funding, .env, and a ~$1 test run. Use when the user asks about x402, pay-per-use, USDC payments, or wants Browser Use Cloud without an API key. For the free-tier signup (reverse-CAPTCHA → API key), use `browser-use cloud signup` or the `cloud` skill instead.
Build a live Three.js landscape that stays quiet behind a subject — a noise heightfield on a polar grid so resolution follows the lens, ground coloured by slope and moisture rather than by texture, instanced GPU grass whose wind costs nothing on the CPU, scattered stones, a gradient sky dome, a star field you can actually see, and a time-of-day system that cross-fades instead of cutting. Use for hero backdrops, product stages, scroll worlds, or any scene where a building, object, or figure has to sit in a place rather than float on a gradient.
NetEase Cloud Music AI assistant, centered on model-based decisions and using ncm-cli to perform actions. Core capabilities: analyze preferences from users’ liked-song playlists; devise multi-keyword search strategies; intelligently recommend playlists, albums, and tracks (with two levels of recommendation rationale); control playback (play/pause/next/volume/queue); manage scheduled push jobs; send recommendations to IM channels such as Feishu via OpenClaw; create playlists and add tracks. Activate when any of the following apply: the message contains “NetEase Cloud” or “Cloud Music”; the user wants to listen to music, get playlist recommendations, or find a type of music; the user wants to analyze their music preferences or liked tracks.
An end-to-end engineering method for going from reverse engineering to a working exploit. Use when you have a binary, a vulnerability, and a target environment and need to write an exploit that works reliably—not a script that only reproduces locally and crashes remotely. Covers three areas: stack overflow, heap exploitation, and kernel pwn. Emphasizes the engineering gap between “works locally in CTF” and “works reliably on a real remote target”: libc version mismatch, heap-spray timing, SMEP/SMAP/KASLR, stack alignment, and remote buffering. Core toolchain: pwntools + GEF/pwndbg + ROPgadget/Ropper + one_gadget + libc-database + qemu-system kernel debugging. Trigger keywords: pwn, stack overflow, heap overflow, ROP, ret2libc, ret2csu, one_gadget, libc-database, heap exploitation, tcache, fastbin, unsorted bin, kernel pwn, kROP, SMEP, SMAP, KASLR, modprobe_path, pwntools, GEF, pwndbg.
Use when the user wants to add or optimize structured data (Schema.org, JSON-LD). Also use when the user mentions "schema," "structured data," "JSON-LD," "rich results," "rich snippets," "Google rich snippets," "featured snippet schema," "add schema to page," "missing structured data," "schema validation error," "Schema Markup Validator," "Google Rich Results Test," "FAQ schema," "Article schema," "Organization schema," "JobPosting," "HowTo," "Event," "SoftwareApplication," "BreadcrumbList," "WebSite," "Recipe," "Product," or "Dataset." For SERP feature types and zero-click patterns, use serp-features. For AI search visibility strategy (not markup), use generative-engine-optimization. For HowTo step sections (placement, copy, vs FAQ), use howto-section-generator.
Applies Arbor Hypothesis Tree Refinement to research artifacts with repeatable evaluators, including model training, agent harnesses, data synthesis and benchmark optimization. Uses persistent hypotheses, isolated experiments, evidence propagation and held-out candidate comparison for multi-experiment research runs. Includes a standard-library state manager and guidance for the RUC-NLPIR Arbor CLI.
Restart a project or artifact from v0 while preserving only proven lessons, contracts, gates, vocabulary, real-surface tests, and negative corpus. Use when the foundation is wrong, accumulated code is misleading progress, or a new pass should learn from the old one without inheriting its accidental architecture.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
Builds, runs, debugs, and operates event-driven applications using EventBridge Event Bus - a managed, centrally governed publish/subscribe event bus that an organization can share across many teams and accounts. Applicable when workloads need event-driven architectures, decoupling, choreography, asynchronous integration, pub/sub, fan-out, event ordering, delivered in sequence, event router, event broker, event bus, event store, event retention, event replay, deduplication, avro, protobuf, cloudevents, uses events or messages. Designed as a centrally managed event bus platform allowing governance and control - such as subscriber control, revocation, per-account throttling - while giving application owners flexibility across an organization spanning multiple accounts, with end-to-end open-standards observability and cost allocation. Also helps reduce costs in high fan-out scenarios where multi-account forwarding adds cost. A serverless, managed alternative to self-managed event streaming platforms.
Use this skill when working with CSV files to create interactive data visualizations, generate statistical plots, analyze data distributions, create dashboards, or perform automatic data profiling. It provides comprehensive tools for exploratory data analysis using Plotly for interactive visualizations.
Work with the @upstash/vector TypeScript/JavaScript SDK, a serverless vector database for embeddings, similarity search, semantic search, and RAG (retrieval-augmented generation). Use when upserting, querying, fetching, ranging, or deleting vectors, upserting raw text against an index with a built-in embedding model, choosing dense, sparse, or hybrid indexes, filtering by metadata, organizing data with namespaces, running resumable queries, or connecting Upstash Vector to an AI or LLM application. Also use when the user asks for a vector store, vector search, nearest-neighbor or kNN search, embeddings storage, semantic cache, recommendations or similarity features, or a hosted vector index that needs no infrastructure.
Review existing test code for quality, smells, and testability issues. Detects test smells across six dimensions—readability, reliability, diagnostic value, design, AI-generated, and coverage—analyzes the testability of application code, and backs qualitative smells with mutation testing. Use when: “review my tests,” “test quality audit,” “test smells,” “testability analysis,” or “are these tests any good.” Not for generating new tests—use `ai-test-generation`. Not for testing AI features in your product—use `ai-system-testing`. Related: unit-testing, shift-left-testing, coverage-analysis, ai-test-generation
보임(BOIM, boim.io)의 무인증 공개 검색 주소로 한국 전국 전 업종 업체(지역×업종·상호), 공공 조달 실적이 있는 업체(품명·업종), 공공기관 진행 중 입찰 공고(나라장터·국방전자조달·LH·한국수자원공사·누리장터)를 한 번에 찾는다. '세종 보람동 미용실', '교통안전표지 납품 실적 업체', '학교 안전 입찰 공고'처럼 물을 때 사용한다. 결과는 관련도 순(평가·순위 아님)이고 출처 한 줄과 전체 목록 주소를 함께 준다. Use when the user wants to find businesses in Korea by region and industry, vendors with Korean public-procurement records, or open Korean public tenders.
Diagnoses a Grafana Frontend Observability (RUM) session: whether it is healthy, what went wrong, ranked problems with timestamps and evidence, likely cause, how to fix it. Optional follow-up: zoom in on the top error, impact across sessions, Session Replay, or a Tempo trace if the user asks. Fetches telemetry with `gcx frontend sessions get --save` and reads only that dump file. Use when the user asks to explain, diagnose, analyse, RCA, or review a session; asks if a session is healthy; pastes Frontend Observability session context (app id, session id, datasource UID); or mentions Faro, user journey, Core Web Vitals, exceptions, ANR, or a web or mobile RUM session — even if they do not say "session narrator" or "frontend-session-rca". Do not use this skill to instrument an app (Faro Web, React Native, Flutter, native OpenTelemetry) — use `app-observability` for Faro Web setup instead.
Implement visual regression testing with Playwright screenshots, Chromatic, Percy, and Argos CI. Covers baseline management, diff threshold tuning, dynamic content masking, responsive viewport testing, and review/approval workflows. Use when: "visual test," "screenshot," "visual regression," "pixel diff," "snapshot diff," "update baselines," "Chromatic," "percy snapshot," "argos screenshot." Not for: bulk baseline regeneration after a redesign broke many tests — use selector-drift-recovery; cross-browser rendering matrices — use cross-browser-testing; general Playwright test structure — use playwright-automation. Related: playwright-automation, ci-cd-integration, cross-browser-testing.
Use this skill whenever the prompt contains any `github.com` URL, even if the user only pastes a link and gives no GitHub-specific keywords. Handles git and GitHub operations using the gh CLI. Triggers include any GitHub link to an issue, pull request, commit, compare page, Actions run, release, discussion, or repository. Covers creating and reviewing PRs, repository security advisories (GHSA), their comments, and fix PRs in their temporary private forks, private vulnerability report discussions, watching CI checks, interactive rebasing, branch cleanup, submodule management, and repository archaeology with git log/blame/bisect.
Append a GitHub issue link and its Linear ticket to the current PR's description. Use when asked to “link issue to pr,” “fill in issue and linear in pr,” “add issue refs to pr,” or when given a GitHub issue URL and asked to attach it to the current PR. Resolves the Linear ticket automatically from the issue's linear-linkback comment.
Workflow creation, execution, and template management. Automates complex multi-step processes with agent coordination. Use when: automating processes, creating reusable workflows, orchestrating multi-step tasks. Skip when: simple single-step tasks, ad-hoc operations.
Utility skill to detect Magento development environment and determine command wrapper. This skill should be used by other skills that need to execute shell commands in the Magento environment. It detects Warden, docker-magento, DDEV, and local environments and provides the appropriate command wrapper.
Create distinctive, high-converting landing pages that combine proven conversion elements with exceptional design quality. Build beautiful, memorable landing pages using Next.js 14+ and ShadCN UI that avoid generic AI aesthetics while following the 11 essential elements framework.
A McKinsey-style problem-solving system. Starting from business problems, it uses hypothesis-driven structured analysis to generate McKinsey-style research reports and PPTs. Combines the Problem Solving methodology, MECE principle, Issue Tree breakdown, Hypotheses formation, Dummy Page design, intelligent data collection, and professional PPT generation.
Prepare and publish GitHub releases. Sanitizes code for public release (secrets scan, personal artifacts, LICENSE/README validation), creates version tags, and publishes via gh CLI. Trigger with 'release', 'publish', 'open source', 'prepare for release', 'create release', or 'github release'.
When the user wants to plan website structure, decide which pages to build, or prioritize pages for a new or existing site. Also use when the user mentions "website structure," "site structure," "which pages do I need," "page planning," "sitemap planning," "Must Have pages," "website architecture," or "site hierarchy." For a specific page template (e.g. homepage), use homepage-generator or landing-page-generator as appropriate. Not for organic SEO roadmap alone; use seo-strategy.
Use to create, generate, or validate Salesforce Custom Setting metadata. Trigger on custom settings (hierarchy/list), customSettingsType, SetupOwnerId, per-profile/per-user config overrides, feature flags/toggles, kill switches, or admin on/off switches (e.g. bypass triggers during a data load); also "create a custom setting" or a setting that silently deployed as a regular object. A kill switch is just a checkbox on a hierarchy setting — generate ONLY the setting, never an Apex trigger/handler. DO NOT TRIGGER for Custom Metadata Types (use platform-custom-metadata-type-generate), business-record objects (use platform-custom-object-generate), or secrets/tokens (use a Named Credential)
Best practices for building and maintaining applications with PowerSync: Cloud and self-hosted setup, sync configuration, client SDK usage, backend integration (Supabase, custom Postgres, MongoDB, Azure DocumentDB, MySQL, MSSQL), schema changes, watch and reactive queries (useQuery), attachments, the upload queue, and debugging. Use this skill whenever the user mentions PowerSync, a @powersync/* package (@powersync/web, @powersync/react-native, @powersync/node), the powersync Flutter/Dart package, the powersync Rust crate, wa-sqlite, offline-first sync, local-first architecture, sync rules, sync streams, uploadData, fetchCredentials, disconnectAndClear, logout or user switching in a synced app, real-time data replication, Electric Cloud migration, Electric Shapes, an app stuck on Syncing, data not syncing, or wants to add offline-capable sync to a mobile or web app, even if they do not explicitly name PowerSync.
Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like "create a skill", "new skill", "make a skill", "skill for X", "how do I create a skill", or "help me build a skill".
Plans, builds, runs, and analyzes fault injection experiments with AWS Fault Injection Service (AWS FIS) to validate application resilience through chaos engineering. Covers experiment templates (actions, targets, stop conditions), the FIS actions catalog and action selection, the scenario library (AZ power interruption, cross-Region connectivity, EC2/EKS/EBS stress), experiment lifecycle and monitoring, logging and reports, multi-account experiments, the experiment IAM role, and blast-radius safety. Applies when a user mentions AWS FIS or fault injection, asks what experiment to run for a failure mode (AZ, Region, API errors/throttling, instance/pod/DB/cache failure, latency, packet loss), wants to author an experiment template or CLI/CloudFormation, or needs to safely run chaos experiments in pre-production or production. For the broader resilience program across Resilience Hub and ARC, see aws-resilience-lifecycle; for ARC routing controls and zonal shift, see recovery-controller-setup.
Use for building, debugging, integrating, migrating, or documenting OpenUI, OpenUI Lang, Agent Interface, OpenUI Cloud, @openuidev packages, streaming generative UI rendering, component libraries, existing-project Cloud integration, self-hosted-to-Cloud migration, migrations from JSON UI formats, Cloud tools (web/image search, artifacts), remote MCP servers, custom function tools and tool loops, and multi-user or multi-app identity (frontend tokens, app_id/user_id, conversation APIs, Responses metadata).
Expert in Windows UI Automation (UIA) and Win32 APIs for desktop automation. Specializes in accessible, secure automation of Windows applications including element discovery, input simulation, and process interaction. HIGH-RISK skill requiring strict security controls for system access.
Write CSP-compatible Alpine.js components for Hyvä themes in Magento 2. This skill should be used when the user wants to create Alpine components, add interactivity to Hyvä templates, write JavaScript for Hyvä themes, or needs help with Alpine.js patterns that work with Content Security Policy. Trigger phrases include "create alpine component", "add interactivity", "alpine for hyva", "x-data component", "csp compatibility", "csp compliant javascript".
Use when capturing or analyzing ETTrace profiles for a focused iOS launch or runtime flow, including exact-build dSYM UUID matching, Simulator or device capture, processed per-thread flamegraph JSON, sampled inclusive/exclusive time, unresolved symbols, and comparable verification. Use debugging-instruments or swiftui-performance for generic profiling instead.
Research what Chinese internet users actually said in the last 30 days across Weibo, Xiaohongshu (RED), Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu and Toutiao: engagement-weighted ranking, cross-platform clustering, cited Markdown/JSON/HTML reports. Also shows today's cross-platform hot-search board (全网热榜, --hot) and can add Hacker News / GitHub / Reddit or an installed upstream last30days for X/YouTube/TikTok.
AI-powered image generation for Salesforce visuals via Nano Banana Pro. TRIGGER when: user asks for PNG/SVG output, UI mockups, wireframes, visual ERDs, or says "generate image" / "create mockup". DO NOT TRIGGER when: text-based Mermaid diagrams (use sf-diagram-mermaid), or non-visual documentation tasks.
Expert knowledge for Azure Container Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring ACA auth/networking, workload profiles/GPUs, CI/CD deployments, KEDA/Dapr scaling, or Java microservices, and other Azure Container Apps related development tasks. Not for Azure App Service (use azure-app-service), Azure Functions (use azure-functions), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Spring Apps (use azure-spring-apps).
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.