Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Expert knowledge for Azure Table Storage development, including best practices, architecture and design patterns, limits and quotas, security, configuration, integrations, and coding patterns. Use when configuring Entra/RBAC access, enabling metrics/logs, planning partition throughput, designing schemas, scripting PowerShell operations, and other Azure Table Storage development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Blob Storage (use azure-blob-storage), Azure Queue Storage (use azure-queue-storage), or Azure Files (use azure-files).
Expert knowledge for Azure VPN Gateway development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations, coding patterns, and deployment. Use when configuring P2S/S2S tunnels, IPsec/IKE cryptography, BGP/NAT routing, ExpressRoute VPN, or Cisco/ASA integrations, and other Azure VPN Gateway development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan), Azure ExpressRoute (use azure-expressroute), or Azure Application Gateway (use azure-application-gateway).
Show evidence-linked architecture, constraints and change scope. Default to on-demand for explicit Birdview or map requests. Also activate before coding when the project explicitly configures Birdview auto mode. Ordinary coding does not activate Birdview without that opt-in.
A ByteHouse cluster load analysis and performance monitoring tool for analyzing cluster load, monitoring resource usage, analyzing query throughput, and identifying performance bottlenecks. Use this Skill when users need to analyze ByteHouse cluster load, monitor resource usage, analyze query throughput, or identify performance bottlenecks.
Determine when a PostHog code change reached a given environment by reading the hidden GIT deploy annotations in the project and correlating them with the merge commit on GitHub. Use when PostHog staff ask "when was X deployed", "is my change live in the US/EU yet", "has my PR shipped", "did the fix roll out to prod-us", or otherwise want to know whether/when a commit, PR, or feature went out to a region. Do not answer deploy-timing questions from event/data volume alone — that only shows when data changed, not when code shipped.
Add visuals to the edited voiceover: overlay HTML layers on the screen recording (highlight annotations / full-screen small black animations / zoom-ins), bind layers to the subtitle screen, drive them frame by frame from the player, and view them directly in the preview. Use when users ask for a storyboard, visuals, animations, highlighted callouts, B-roll, or a storyboard. Do not use for word-deletion editing, subtitles, physical cuts, or final video rendering.
Manage local Codex session transcripts, including listing candidate sessions, exporting full or selected sessions to organized Markdown, inspecting archived sessions, and summarizing tool-call history. Use when the user asks to scan, parse, archive, inspect, recover, summarize, manage, or convert Codex sessions, `~/.codex/sessions` data, `~/.codex/archived_sessions` data, `.jsonl` transcripts, tool-call history, or hard-to-read Codex conversation logs.
A domain navigator for presentation, diagram, wireframe, data visualization, design review, product strategy, copywriting, UX writing, content design, and design research skills. Routes to the right skill for slides, charts, UX strategy, PM frameworks, email, microcopy, product copy, user research, and design sprints.
Continues interrupted Claude Code work after local history is read and reconciled — reconstructs the original outcome, unfulfilled requests, and the next action. Use when given a Claude Code Session ID, asked to pick up prior Claude work, told a run was interrupted or compacted, or asked to take over without `claude --resume`. Not for Codex sessions (use continue-codex-work).
Comprehensive cryptocurrency market research and analysis using specialized AI agents. Analyzes market data, price trends, news sentiment, technical indicators, macro correlations, and investment opportunities. Use when researching cryptocurrencies, analyzing crypto markets, evaluating digital assets, or investigating blockchain projects like Bitcoin, Ethereum, Solana, etc.
Multi-expert parallel analysis workflow that selects domain expert subagents to analyze datasets in parallel, synthesizes findings into interactive HTML reports with charts, and exports to PowerPoint on request. Requires Python packages: pandas, openpyxl, tabulate, chardet.
Evaluate UI designs against usability heuristics, UX laws, interaction patterns, interaction design principles, information architecture, and content quality. Conduct heuristic evaluations, structured design critiques, pattern-based reviews, posture analysis, excise audits, IA evaluations, and UX writing reviews. Provides specific, actionable feedback grounded in established principles rather than subjective opinion.
Starting point for exploring how a PostHog MCP server's tools are used — routes a broad question to the typed tool that answers it. Use when the user asks "how is my MCP doing?", "what should I look at?", "explore my tool calls", "who uses my MCP tools?", "what are agents doing with the MCP?", or pastes an MCP analytics URL without a specific question. Offers a menu of questions, each backed by a query tool, then hands off to the focused skill.
Analyzes profitability per customer, product, or transaction to determine business model viability and scalability. Covers CAC, LTV, contribution margin, cohort analysis, and growth-readiness assessment. Use when evaluating business model viability, validating startup metrics (CAC, LTV, payback period), making pricing decisions, comparing business models, or when user mentions unit economics, CAC/LTV ratio, contribution margin, customer profitability, or break-even analysis.
Compress an agent's routing file (RESOLVER.md or AGENTS.md) by converting granular skill-per-row tables into functional-area dispatchers. Each area lists sub-skills in a "(dispatcher for: ...)" clause. The LLM reads one area entry and routes to the correct sub-skill. Proven via held-out A/B eval: dispatcher pattern outperforms naive pipe-table compression.
A professional A-share market analyst assistant providing daily stock price analysis, stock selection strategies, and investment recommendations. Use for: (1) accessing real-time A-share quotes and historical data; (2) technical analysis (candlestick patterns, MACD, KDJ, RSI, Bollinger Bands, etc.); (3) fundamental analysis (financial metrics, valuation analysis); (4) tracking sector trends; (5) screening stock selection strategies; (6) quantitative factor analysis; and (7) generating daily stock market analysis reports. Trigger when users ask related questions such as “analyze this stock,” “pick stocks today,” “A-share market analysis,” “technical analysis,” “fundamental analysis,” or “quantitative stock selection.”
Scaffolds and adapts Node.js apps for GoDaddy Node.js Hosting (PaaS): package.json start/build scripts, PORT binding, single-app upload, and framework recipes. Use when building a new app, adapting an existing app, fixing deploy or start failures, or preparing AI tool exports (Replit, Lovable, Bolt, Cursor) for Node.js Hosting.
Use when a Python or TypeScript app sends large tool outputs, logs, JSON, search results or long chat history to an LLM and the task is to cut input tokens, reduce token cost, fit a context window, or trim tool results without losing errors. Adds the headroom-ai compress() call; in-process, no API key, no model download.
Verify and handle webhooks delivered through the Hookdeck Event Gateway. Use when receiving webhooks via Hookdeck and need to verify the x-hookdeck-signature header. Covers signature verification for Express, Next.js, and FastAPI.
Manages Huawei Cloud Flexus L server lifecycle: create, renew, and unsubscribe instances. Use this skill when the user mentions "Flexus L", "Huawei Cloud lightweight server", "purchase server", "renew", "unsubscribe". (中文触发词："购买/创建L实例", "L实例续费", "L实例退订")
Local data SDK for JoinQuant, providing A-share market quotes, historical K-line data, financial data, indicator data, and more from the same source as the JoinQuant website. Use when users mention jqdatasdk or JoinQuant data, need A-share data, or have a JoinQuant account. Unlike baostock (free) and tushare (the most comprehensive data), jqdatasdk requires a registered JoinQuant account to obtain a Token and suits users already using the JoinQuant platform. Use this skill to retrieve local data; use the joinquant-strategy skill for strategy development on the JoinQuant website.
Complete guide for Kamino Finance - Solana's leading DeFi protocol for lending, borrowing, liquidity management, and leverage trading. Covers klend-sdk (lending), kliquidity-sdk (automated liquidity strategies), scope-sdk (oracle aggregator), multiply/leverage operations, vaults, and obligation orders.
Use when the user wants to publish or schedule a LinkedIn post through Publora: text, a multi-image grid, a video, a PDF document, or @mentions. Not for analytics, reactions, comments or reshares (use linkedin-analytics), and not for other platforms.
Dodo Payments multi-currency pricing, covering fixed localized prices per country or currency, Adaptive Currency live FX conversion at checkout, and purchasing power parity (PPP) percentages. Use when pricing in INR, EUR, or other local currencies, offering regional or PPP discounts, or resolving billing country and currency fallback.
Analyzes and retrieves catalog information from Magento 2. Use when analyzing product catalogs, retrieving catalog data, assessing catalog health, or optimizing catalog performance. Masters catalog structure analysis, product data inspection, and catalog diagnostics.
Builds sophisticated admin interfaces and frontend components using Magento's UI Component framework. Use when creating admin grids, forms, modals, or data-driven interfaces. Masters XML configuration, KnockoutJS templates, data providers, and complex form/grid implementations.
Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations, and coding patterns. Use when working with Content Moderator, Content Safety, Content Understanding analyzers, REST/.NET APIs, document extraction workloads, and other Microsoft Foundry Tools development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), or Microsoft Foundry Local (use microsoft-foundry-local).
Use when the user explicitly asks to “review a National Natural Science Foundation proposal,” “simulate an expert review,” or “review an NSFC application.” Simulates a domain expert’s perspective to assess the NSFC proposal across multiple dimensions and provide prioritized issues and actionable revision suggestions. Not applicable when the user only wants to write or revise a proposal section (use the nsfc-*-writer skill series), only wants to learn about review criteria (answer directly), or has no explicit intent to review.
Execute build, test, lint, serve, and other tasks in an Nx workspace using single runs, run-many, and affected commands. Use when user says "run tests", "build my app", "lint affected", "serve the project", "run all tasks", or "nx affected". Do NOT use for code generation (use nx-generate) or workspace configuration (use nx-workspace).
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.