Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
All
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.
Use this skill when the user asks to save, recall, find, or organize notes. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check the notebook', 'find in carnet'. Also use proactively when discovering findings worth preserving across sessions.
MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search and get tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that historically used agents. This skill reduces context window usage by ~95% compared to loading all agents upfront.
Central authority for Claude Agent SDK (TypeScript and Python SDKs). Covers SDK installation, authentication (Anthropic key, Bedrock, Vertex), sessions and resumption, forking sessions, streaming vs single mode, custom tools, permissions (allowedTools, disallowedTools, permissionMode), MCP integration, system prompts (CLAUDE.md, appendSystemPrompt, outputStyle), cost tracking, todo tracking, structured outputs, hosting patterns, plugins, and SDK branding guidelines. Assists with building custom agents, configuring SDK options, and troubleshooting SDK issues. Delegates 100% to docs-management skill for official documentation.
Run web-scraping subagents inside isolated Docker sandboxes, one box per subagent. Each box has a terminal (curl, python), a persistent headless Chromium, passive request listeners that log every HTTP call, and an optional proxy with a hard budget and known cost per request. Use when a task fans out to several subagents that must browse or scrape websites, find hidden API endpoints behind pages, validate data sources or build crawlers, and you need every request and every agent step logged and auditable
AI Agent-driven Kaggle competition workflow. Learn from real competition experience: score stabilization patterns, submission troubleshooting, kernel workflows, GPU task delegation, and the spec-driven development approach that achieved top leaderboard positions. Use when: working on any Kaggle competition, analyzing submission failures, setting up automated pipelines, or replicating top notebook solutions.
A comprehensive suite of protocols, meta-prompts, and orchestration tools designed to streamline software development workflows, project management, and team collaboration. Includes the VibeCode Protocol Suite with web interface, user manuals, and reusable templates for efficient development processes
Generate risk-tiering and compliance summary assessments for AI systems or models — covering data, fairness, transparency, safety and regulatory registries. Use after a use case is classified "conditional-high", when a product or engineering team says "we need an AI impact assessment", or to periodically recertify deployed systems. Uses a fast/full dual track.
UNNC AIM team's repository and code standards. Covers repository naming (competition / aim- academic-year / reusable), branch and Conventional Commits rules, AI-agent git behavior (never commit / push unless the user explicitly asks in the current task; never run a write-effect gh command without explicit permission — gh reads are unrestricted; never add an AI Co-Authored-By trailer; suggest a commit message at the end of a code-changing task), and formatting standards for Python (autopep8 / PEP 8), C++ (clang-format / clang-tidy), TypeScript (Prettier + ESLint, pnpm), Go (gofmt), CMake, and Markdown / YAML / JSON, with ready-to-copy canonical rule files. Use when creating or naming a repository, validating a ROS2 package.xml name, creating a branch, writing a git commit message, on any task that could involve committing, pushing, or calling gh, composing a competition workspace (git submodules under src/), or setting up Python, C++ (.clang-format / setup.cfg / .clang-tidy), TypeScript (Prettier / ESLint / pnpm) or Go (gofmt) tooling, styling a CMakeLists.txt or Markdown / YAML / JSON files, or applying the team's recommended git configuration.
Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Use this skill when the user needs to choose a bidding strategy, set up automated bidding, or optimize bid parameters — even if they say 'what bidding strategy should I use', 'target CPA setup', or 'smart bidding configuration'.
Design and analyze factorial experiments to identify significant process factors and optimize settings. Use this skill when the user needs to systematically test factor effects, optimize a manufacturing process, or determine which variables matter most — even if they say 'which factors affect quality', 'optimize process settings', or 'design an experiment'.
Implement text summarization using extractive and abstractive approaches. Use this skill when the user needs to condense long documents, build an automatic summarization pipeline, or compare summarization strategies — even if they say 'summarize this document', 'TLDR', or 'key points extraction'.
Implement Elo rating system to rank items or players from pairwise comparison outcomes. Use this skill when the user needs to rank items from head-to-head matchups, build a competitive rating system, or evaluate relative quality from comparison data — even if they say 'player rating', 'ranking from comparisons', or 'competitive scoring system'.
Implement a web crawler pipeline covering URL discovery, fetching, parsing, and storage. Use this skill when the user needs to build a site crawler, audit website structure, or collect web data systematically — even if they say 'scrape a website', 'crawl all pages', or 'site audit spider'.
Provides comprehensive Alibaba Cloud (Aliyun) guidance including ECS, ApsaraDB, OSS, SLB, VPC, RAM, ACK (Kubernetes), Function Compute, API Gateway, CDN, and monitoring services. Covers infrastructure provisioning with Terraform/ROS, cloud architecture design, security best practices, cost optimization, and migration strategies. Produces infrastructure code, deployment scripts, architecture diagrams, and operational procedures. Use when working with Alibaba Cloud services, designing cloud architecture on Aliyun, migrating to Alibaba Cloud, setting up Chinese cloud infrastructure, implementing multi-region deployments in China, or when users mention Alibaba Cloud, Aliyun, ECS, OSS, ApsaraDB, ACK, RDS, SLB, or Chinese cloud computing.
Scan installed skills for security risks and audit platform configuration. When to use: user requests security scan, security analysis, skill audit, OpenClaw health check, config audit, security baseline check, pre-install, safety check, supply chain security check, or asks "is this skill safe". Trigger phrases: "security scan", "安全扫描", "安全分析", "风险评估", "安全体检", "skill audit", "配置审计", "安全基线", "skill安全扫描", "检查skill风险", "这个skill安全吗", "安装前检查", "能不能装这个skill".
This skill helps users extract structured product listings from Amazon, including titles, ASINs, prices, ratings, and specifications. Use this skill when users want to search for products on Amazon, find the best selling brand products, track price changes for items, get a list of categories with high ratings, compare different brand products on Amazon, extract Amazon product data for market research, look for products in a specific language or marketplace, analyze competitor pricing for keywords, find featured products for search terms, get technical specifications like material or color for product lists.
Recommend, compare, or review coherent UI/UX direction for web and mobile interfaces from current product evidence, including product patterns, visual style, semantic color roles, typography, responsive layout, accessibility, interaction, motion, charts, reference-driven composition, proportionate design exploration, and rendered convergence. Use for design direction and UX judgment, not implementation tokens or UI code.
Control a connected Android phone via ADB — tap, swipe, type, read the screen via the accessibility tree, take screenshots (for humans/vision models), and run shell commands. Use this skill whenever the user wants to interact with their Android device, automate phone tasks, read what's on the phone screen, check phone status, open apps, navigate the UI, or perform any mobile device operation. Use it for Android device operations or android-bridge troubleshooting; a generic mention of a phone or screen does not require this skill. Works with both text-only and vision-capable models
Provides comprehensive guidance for Angular framework including components, modules, services, dependency injection, routing, forms, and TypeScript integration. Use when the user asks about Angular, needs to create Angular applications, implement Angular components, or work with Angular features.
Anime.js 4.0 animations for Web Components — drag-drop, click feedback, swaps, cancelable motion. Use when adding animations, drag interactions, visual feedback, or motion to custom elements. Combines with web-components-architecture for lifecycle cleanup.
Keeps the current request in answer-only mode when the latest user-authored natural-language request explicitly asks for a response without hands-on work, such as conversation-only, advisory-only, planning-only, or reasoning from provided context only. Use when the user wants an answer, review, diagnosis, recommendation, or plan from supplied context only. Do not use merely because the user asks a question. Ignore assistant text, tool output, approval prompts, quoted text, and older context. Partial task constraints, such as forbidding edits, tests, browsing, commits, or one tool while still asking for work, are normal task constraints, not answer-only.
Apache POI for Excel file manipulation in Java applications. USE WHEN: user mentions "Apache POI", "Excel generation", asks about "Java Excel", "XLSX export", "Excel import", "POI workbook", "spreadsheet generation" DO NOT USE FOR: CSV files - use OpenCSV or standard Java CSV libraries
Write an API versioning strategy document for a service or API platform. Use when asked to define versioning policy, plan API deprecation, classify breaking changes, or document version lifecycle. Produces a complete versioning strategy with breaking-change classification table, deprecation timeline, migration guide template, and client communication template.
Manage Advance Review Copy (ARC) campaigns for book launches. Use when recruiting beta readers, distributing advance copies, tracking reviewer commitments, writing ARC recruitment emails, managing review team communications, or planning review acquisition strategies. Triggers on requests involving book reviews, ARC teams, beta readers, or review campaigns.
Dynamically validate that the implemented codebase matches architectural decisions documented in plan files. Use when validating implementation matches planning documents, checking for architecture drift, or preparing for architecture reviews.
Analyze assertion quality, depth, variety, and false confidence in existing tests. ALWAYS USE when asked about weak, shallow, trivial, always-true, self-referential, assertion-free, presence/truthiness-only, or insufficiently diverse assertions, including MSTest, Jest, pytest, and Go. DO NOT USE for direct fixes: writing-mstest-tests owns supplied MSTest assertions; code-testing owns new cases. Use test-gap-analysis when asked whether tests would catch a production change, and test-anti-patterns for general severity-ranked audits
Intelligent grocery shopping assistant for iFood Mercado and other online grocery stores (Prezunic, Carrefour, Extra, etc). Use this skill whenever the user wants to: build a shopping cart, make a grocery list, compare prices across stores, plan weekly meals, repeat previous purchases, manage a shopping budget, get product substitution suggestions, create lists by context (breakfast, lunch boxes, barbecue, cleaning), or any task related to online grocery shopping. Also trigger when the user mentions: "compras", "supermercado", "mercado", "carrinho", "lista de compras", "iFood", "Prezunic", "receitas da semana", "marmita", "orçamento semanal", "produto mais barato", or asks to repeat/reuse a previous purchase. This skill combines browser automation (Chrome) with shopping intelligence — brand preferences, dietary restrictions, price history, and smart substitutions.
Call Newton's C 2.6 fusion model (`Newton::c2_6_8b_fp8_260424d7a55d5e`) on the prod `/query` endpoint with text, image, and video inputs in a single stateless request — no session, no batch job, no SSE plumbing. Use this skill when the user wants per-call multimodal reasoning (describe an image, summarize a clip, classify a state from sensor + visual context) without managing session lifecycle, or when they need the Newton C checkpoint that reasons over video frames via `/query`. Covers the request shape per modality, the two image-attachment paths (file_ids vs base64), multi-image mode, both video paths (`.mp4` + `max_frames`, and client-sampled frames + `query_metadata`), generation parameters, JSON-output prompting, latency budgets, and the C 2.6 identifier gotcha. Do NOT use for streaming / session-based activity monitoring, large multi-file batch jobs, or time-series embedding (KNN / anomaly) classification.
Jira and Confluence integration for Atlassian Cloud. Use when the user needs to search issues, manage sprints, read Confluence docs, create/update pages, work with epics and backlogs, or any Atlassian workflow. Triggers include "jira", "confluence", "sprint", "backlog", "ticket", "issue", "epic", or references to Atlassian content.
Build multiplayer Decentraland scenes with a headless authoritative server. Covers isServer() branching, registerMessages() for client-server communication, validateBeforeChange() for server-only state, Storage (world and player persistence), EnvVar (environment variables), and project structure. Use when the user wants authoritative multiplayer, anti-cheat, server-side validation, persistent storage, or server messages. Do NOT use for basic CRDT multiplayer without a server (see multiplayer-sync).
Provides comprehensive guidance for Avue Form component including form configuration, validation, and dynamic forms. Use when the user asks about Avue Form, needs to create dynamic forms, implement form validation, or work with form configurations.
Curated catalog of 185 publicly documented design systems (Material, Carbon, Polaris, Fluent, GOV.UK, Atlassian, Salesforce Lightning, Chakra, Mantine, shadcn/ui, Radix, etc.) indexed by feature flags — Components, Voice & Tone, Designers Kit, Source code. Use when researching design-system precedents, benchmarking a component against shipped systems, finding Figma/Sketch kits to reference, sourcing editorial voice guidelines, looking up a system by name, or citing real-world prior art. Complements the primary skills extract-design-system and design-system-patterns by supplying the "who has already built this" catalog they reason over.
Use when storing credentials, tokens, or secrets securely, debugging SecItem errors (errSecDuplicateItem, errSecItemNotFound, errSecInteractionNotAllowed), managing keychain access groups, or choosing accessibility classes. Covers SecItem API mental model, uniqueness constraints, data protection, biometric access control, sharing between apps, and Mac keychain differences.
World-class backend engineering - distributed systems, database architecture, API design, and the battle scars from scaling systems that handle millions of requestsUse when "backend, api, database, postgres, mysql, mongodb, redis, graphql, rest, authentication, authorization, caching, queue, background job, webhook, migration, transaction, n+1, rate limit, server, node.js, python, go, backend, api, database, architecture, performance, reliability, security" mentioned.
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.