Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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V4.1 reverse pricing calculator for evaluating product profitability when selecting items for cross-border e-commerce on Temu. Use this skill to calculate a product’s net profit on Temu, check whether it meets the profit threshold (net profit > 5 yuan), or perform reverse pricing analysis. Enter the Temu lowest market price and 1688 purchase price to get a detailed profit calculation and a GO/PASS decision.
Build a measured exposure and grading path in Three.js. Use for a 64x36 encoded luminance meter, asynchronous readback, weighted log-average exposure, asymmetric adaptation, single tone-map ownership, and a generated 32-cube post-tone-map LUT.
Twilio Conversation Intelligence development guide. Use when building real-time or post-call conversation analysis, language operator pipelines, sentiment analysis, agent assist, cross-channel analytics, or querying aggregated conversation insights (sentiment trends, escalation rates, dashboards).
Configure automatic conversation capture and routing with Twilio Conversation Orchestrator. Covers Configuration creation, channel capture rules, grouping types, status timeouts, Memory Store linkage, Intelligence linkage, and conversation lifecycle. Use this skill to automatically capture SMS, voice, WhatsApp, RCS, and web chat traffic into unified conversations without manually creating conversations or participants.
Full UGC ad video pipeline: generates a character image on Higgsfield, then creates a Seedance 2.0 video from it. Orchestrates the complete flow from image prompt to finished UGC video. Use when the user wants to create a UGC ad video end-to-end, or take a generated image from Higgsfield's image tab into video creation. Triggers include “create a UGC video,” “make a UGC ad,” “UGC pipeline,” “turn this into a UGC video,” or any request combining image generation with video creation for ads/UGC content. Requires Playwright MCP tools.
Turn an article, video, repository, product, job post, service, or offer into a high-attention value unit: title/headline, thumbnail or visual concept, curiosity gap, proof, and sequential hook. Use when the user wants clickable titles, article thumbnails, project thumbnails, repo/social preview images, hooks, offer framing, or a generalizable value-communication critique.
AI video generation via Seedance, Kling, Gemini Omni, MiniMax H3, and MiniMax H3 Max. Use when the user wants to generate a video clip — text-to-video, image-to-video, first/last-frame transitions, reference-guided generation — or wants to modify / edit / extend an existing generated clip.
Use when the user mentions tosutil, TOS object storage, bucket/object operations, batch upload or download, object metadata, TOS connectivity, or errors such as 403/network/argument failures. 围绕火山引擎对象存储 tosutil 生成与校验命令、规划桶/对象操作并诊断错误；当用户提到 tosutil、TOS 桶对象管理、批量上传下载或相关排障时调用。
Query pro-workflow wikis via SQLite FTS5 BM25 retrieval. Returns top-K passages with citations. Use when answering a question that any of the user's wikis already covers, when the user says "what does the wiki say about X", "ask wiki", "search wikis", or before drafting a new wiki page (to avoid duplication).
Windows and Git Bash testing compatibility for Vitest, Playwright, and MSW. PROACTIVELY activate for: (1) Vitest tests failing on Windows but passing on Linux, (2) Playwright on Windows with Git Bash quirks, (3) MSW intercept issues across shells, (4) path normalization in test fixtures, (5) browser binaries on Windows (Playwright install), (6) line-ending issues in test snapshots (CRLF vs LF), (7) cross-platform test scripts in package.json, (8) shell detection in pretest/posttest hooks, (9) CI-on-Windows debugging. Provides: cross-platform package.json scripts, snapshot normalization, Playwright Windows install, MSW shell-aware setup, and CI Windows debugging recipes.
Map computational materials tasks onto workflow engines such as atomate2, jobflow, AiiDA, pyiron, or a simple one-off script. Use when deciding how to structure a reproducible campaign, DAG, restart strategy, provenance record, storage layout, or migration path from ad hoc scripts to managed workflows.
Use when a complex or risky code change should be split into Kent Beck's two-step method by first making the change easy through behavior-preserving preparatory refactoring, then making the intended behavior change once the design supports it. This should trigger for requests such as Apply two-step change; Make this risky change safer; Refactor before changing behavior; Separate preparation from behavior change. Part of Plinth Toolkit
Lightweight standalone design spec for AI coding agents: codebase scan → bounded clarify pass (3–5 questions, not a grill) → reviewed design doc written to docs/plans/ → independent scored review → stop. No task board, no build. Use when you want a spec to discuss, hand off, or review before committing to implementation. Chains into absolute-work when ready to build. Triggers on "absolute spec", "write a spec", "spec out this feature", "draft a design doc", "I want a spec to hand off / review, don't build it yet".
Install and configure `agent-browser` on a Windows machine with WSL2 after a browser path is already working. Use when a user wants the `agent-browser` CLI, its downloaded runtime, the `vercel-labs/agent-browser` repository, or an `agent-browser` attachment to a Windows host browser bridge from WSL2.
Use the internet: search, read, and interact with 13+ platforms including Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu (小红书), Douyin (抖音), WeChat Articles (微信公众号), LinkedIn, Boss直聘, RSS, Exa web search, and any web page. Use when: (1) user asks to search or read any of these platforms, (2) user shares a URL from any supported platform, (3) user asks to search the web, find information online, or research a topic, (4) user asks to post, comment, or interact on supported platforms, (5) user asks to configure or set up a platform channel. Triggers: "搜推特"、"搜小红书"、"看视频"、"搜一下"、"上网搜"、"帮我查"、"全网搜索"、"search twitter"、"read tweet"、"youtube transcript"、"search reddit"、"read this link"、"看这个链接"、"B站"、"bilibili"、"抖音视频"、"微信文章"、"公众号"、"LinkedIn"、"GitHub issue"、"RSS"、"search online"、"web search"、"find information"、"research"、"帮我配"、"configure twitter"、"configure proxy"、"帮我安装".
When the user wants to deploy AI sales development reps, automate sales qualification, build signal-to-action routing, or design AI agent architecture for sales. Also use when the user mentions 'AI SDR,' 'AI sales agent,' 'automated qualification,' 'signal routing,' 'sales automation,' '11x,' 'Artisan,' 'AiSDR,' 'AI BDR,' or 'autonomous sales.' This skill covers AI SDR deployment, qualification automation, and agent architecture for sales development. Do NOT use for technical implementation, code review, or software architecture.
Mandatory for all Gemeente Amsterdam UI work. Use for pages, layouts, forms, dashboards, landing pages, React/JSX/TSX components, styling, theming, scaffolding frontend projects, or any visual interface. Covers @amsterdam/design-system-react, CSS tokens (--ams-*), BEM CSS with ams- prefixes, 4/8/12-column Grid, Spacious and Compact modes, and Tailwind CSS bridge patterns. Prefer this over generic UI libraries such as Material UI, shadcn, Chakra, Ant Design, or plain custom HTML/CSS.
This skill should be used when the user asks "where should I put this", "can X import from Y", "Angular folder structure", mentions feature isolation, lazy loading placement, dependency violations, architecture audit, circular dependency, import cycle, barrel file, bundle size, initial load performance, signal store placement, state management, or when creating/moving Angular components, services, or modules between folders. Also use when reviewing PRs for architectural compliance, scaffolding new features, or setting up eslint-boundaries. Angular enterprise architecture advisor for placement decisions, dependency rules, isolation patterns, and architectural verification.
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
Expert knowledge for Azure Data Share development, including troubleshooting, decision making, security, configuration, and deployment. Use when estimating Data Share costs, securing invitations, fixing share errors, configuring datasets, or deploying across regions, and other Azure Data Share related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure Data Explorer (use azure-data-explorer), Azure Data Factory (use azure-data-factory), Azure Open Datasets (use azure-open-datasets).
Expert knowledge for Azure Dedicated HSM development, including troubleshooting, decision-making, architecture and design patterns, security, integration and coding patterns, and deployment. Use when sizing HSM clusters, configuring ExpressRoute IP SKUs, securing VNets, planning HSM retirement, or scripting CLI/PowerShell provisioning, and for other Azure Dedicated HSM development tasks. Not for Azure Cloud Hsm (use azure-cloud-hsm), Azure Key Vault (use azure-key-vault), or Azure Payment Hsm (use azure-payment-hsm).
Expert knowledge for Azure HPC Cache development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when configuring HPC Cache namespaces, NFS or Blob targets, client access, data ingestion scripts, cache failover, and other Azure HPC Cache development tasks. Not for Azure Managed Lustre (use azure-managed-lustre), Azure NetApp Files (use azure-netapp-files), Azure Batch (use azure-batch), or Azure Virtual Machines (use azure-virtual-machines).
Expert knowledge for Azure Large Instances development, including troubleshooting, limits and quotas, and integrations and coding patterns. Use when configuring Epic SKUs, sizing volume groups, tuning EHR storage, resolving Epic–ALI connectivity or performance issues, and other Azure Large Instances development tasks. Not for Azure Baremetal Infrastructure (use azure-baremetal-infrastructure), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets), or Azure HPC Cache (use azure-hpc-cache).
Expert knowledge for Azure Operator Service Manager development, including troubleshooting, best practices, security, configuration, and integration and coding patterns. Use when onboarding CNFs/VNFs with Helm, managing ACR artifacts, configuring cluster registry, Private Link, or RBAC, and for other Azure Operator Service Manager development tasks. Not for Azure Operator Insights (use azure-operator-insights), Azure Operator Nexus (use azure-operator-nexus), Azure Resource Manager (use azure-resource-manager), or Azure Networking (use azure-networking).
Expert knowledge for Azure Oracle development, including troubleshooting, security, and integration and coding patterns. Use when configuring Oracle TDE with Azure Key Vault, Exadata log export, Azure Monitor, Sentinel, or PPGs, and for other Azure Oracle development tasks. Not for Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), SQL Server on Azure Virtual Machines (use azure-sql-virtual-machines), or SAP HANA on Azure Large Instances (use azure-sap).
Expert knowledge for Microsoft Planetary Computer Pro development, including troubleshooting, decision-making, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when working with GeoCatalog or STAC APIs, configuring collections or tiles, securing access, integrating QGIS or ArcGIS, troubleshooting ingestion, and other Microsoft Planetary Computer Pro development tasks. Not for Azure Maps (use azure-maps), Azure Open Datasets (use azure-open-datasets), or Azure Data Explorer (use azure-data-explorer).
Expert knowledge for Azure Relay development, including troubleshooting, security, configuration, and integrations and coding patterns. Use when configuring Hybrid Connections, WCF relays, Entra ID or SAS authentication, Private Link, .NET or Node.js Relay clients, and other Azure Relay development tasks. Not for Azure Service Bus (use azure-service-bus), Azure Event Hubs (use azure-event-hubs), Azure Web PubSub (use azure-web-pubsub), or Azure Application Gateway (use azure-application-gateway).
Applies Bayesian reasoning to systematically update probability estimates with new evidence, helping make better forecasts and avoid overconfidence. Use when making predictions or judgments under uncertainty, forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating confidence, assessing risks with uncertain data, or when user mentions priors, likelihoods, Bayes theorem, probability updates, forecasting, calibration, or belief revision.
Subscribe to BingX USDT-M perpetual swap WebSocket account data streams including balance updates, position changes, order updates, and account config changes. Also manages Listen Key lifecycle (generate, extend, delete). Use when the user asks about real-time swap account updates, live order status, streaming position changes, or WebSocket account subscriptions for perpetual futures.
Проводит независимое ревью изменений кода без их исправления. Используй, когда пользователь явно просит проверить код, коммит, ветку, pull request или diff на соответствие задаче, корректность, безопасность, производительность и качество тестов. Не используй, когда пользователь просит изменить код, реализовать задачу или сначала найти причину проблемы.
Generate SAP BTP (Business Technology Platform) solution architecture diagrams as native draw.io (.drawio) files following the official SAP BTP Solution Diagram guidelines (Fiori Horizon design system) and open them via a configured draw.io MCP server. USE WHEN: user asks to create/draw/design/sketch a BTP diagram, BTP architecture, BTP landscape, BTP solution diagram, BTP reference architecture, SAP Business Technology Platform diagram, or wants to visualize SAP BTP services (CAP, Build, Integration Suite, SAC, AI Core, HANA Cloud, Cloud Foundry, Kyma, Workzone, etc.) and their interdependencies in draw.io / drawio / diagrams.net. DO NOT USE FOR: non-BTP architecture diagrams, generic flowcharts, sequence/UML diagrams, or diagrams that should remain in Mermaid/PlantUML.
Check an installed skills-for-fabric plugin bundle or git clone for updates, show the matching changelog, and provide host-appropriate update guidance. Use when the user wants to: (1) check for skill updates, (2) see what changed, or (3) verify the installed version. Triggers: “check for updates”, “am I up to date”, “what version”, “update skills”, “show changelog”.
Use when designing a prospective clinical study: choosing primary and secondary endpoints, estimating sample size and power, or scoring feasibility before submission. Runs endpoint_selector.py, sample_size_estimator.py and phase_gate_scorer.py; outputs are estimates for a biostatistician to confirm.
Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI startup competitive analyses including the Lovable case study (4.3M views, 229K impressions launch day). By @WeiYipei. Inside: 4-step research framework (website → social → traffic → ad spend) · 3-version Wayback evolution analysis · X/Twitter propagation-chain mapping · growth-flywheel 6-stage scoring · KOL identification · content-effectiveness ranking · ICP + freemium pricing teardown · self-check checklist. New in 1.2: time-machine competitor archaeology — Google date-range search back to pre-fame years, star-history launch-day reconstruction (AppFlowy ~40-channel zero-budget launch teardown), competitor funding news as a launch-timing signal, and the "open source alternative" positioning play. Sourced from first-hand founder interviews (AFFiNE co-founder, 2026-04, self-reported figures marked). 🇨🇳 你的竞品刚刚爆了。你完全不知道他们怎么做到的。该拆官网？盯社媒？画增长飞轮？这份 SOP 给你从 Wayback Machine 快照到 X/Twitter 传播链路还原到飞轮六阶段评分的完整方法论。基于 150+ AI 创业公司竞品分析实战，含 Lovable 完整案例。 🇯🇵 競合が突然バズった。どうやって成長したか全く分からない。このSOPは、Waybackスナップショットからツイッター伝播チェーン分析、フライホイール6段階スコアリングまでの完全な競合調査フレームワークを提供します。150以上のAIスタートアップ分析から構築。 🇰🇷 경쟁사가 갑자기 폭발적으로 성장했습니다. 어떻게 그렇게 빨리 성장했는지 모릅니다. 이 SOP는 Wayback 스냅샷부터 X/Twitter 전파 체인 분석, 플라이휠 6단계 스코어링까지 완전한 경쟁사 조사 프레임워크를 제공합니다. 150개 이상의 AI 스타트업 분석에서 구축. Triggers: "competitor research" | "competitive analysis" | "competitor analysis" | "growth flywheel" | "market research" | "竞品调研" | "竞品分析" | "增长飞轮" | "传播链路" | "競合分析" | "경쟁사 분석" | "social media teardown" | "Twitter propagation" | "content strategy analysis"
Robust URL-to-Markdown extraction for OpenClaw workflows. Use when the user wants to "extract/summarize/convert a webpage to markdown" (especially WeChat mp.weixin.qq.com) and web_fetch/browser is blocked or messy. Uses a cheap probe via web_fetch first, then falls back to the official MinerU API (via the local mineru-extract skill) and returns a traceable result contract with source links.
Explain or reason about foundational context engineering concepts: what context is, the anatomy of a context window, attention mechanics, the U-shaped attention curve, why context quality matters more than quantity, and the mental models needed to interpret context-engineering decisions. Use for conceptual explanation, onboarding, and background reading. Route operational work to context-degradation for attention failures and context-optimization for token-efficiency work
Create Model Context Protocol (MCP) servers that expose tools, resources, and prompts to Claude. Use when building custom integrations, APIs, data sources, or any server that Claude should interact with via the MCP protocol. Supports both TypeScript and Python implementations.
Guidelines for introducing and using nullable reference types (NRT) and System.Diagnostics.CodeAnalysis nullable attributes in C# / .NET codebases. Covers the nullability model, flow analysis, the null-forgiving operator, API design rules, the full attribute catalog (AllowNull, DisallowNull, MaybeNull, NotNull, NotNullWhen, MaybeNullWhen, NotNullIfNotNull, MemberNotNull, MemberNotNullWhen, DoesNotReturn, DoesNotReturnIf), the C# 14 field keyword, incremental migration of legacy codebases, and a code-generation checklist.
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.