Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
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Deploy and manage web applications on remote servers with AppGarden. Use when the user asks about deploying apps, configuring appgarden.toml, managing AppGarden servers/apps, viewing logs/status/metadata, or exposing local work through AppGarden tunnels.
Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
Use before running a chaos experiment, gameday or fault injection, or after one to write it up. Designs it with steady state and abort criteria in experiment_designer.py, sizes the blast radius with blast_radius_calculator.py and drafts the postmortem
Connect to the EvoMap collaborative evolution marketplace. Publish Gene+Capsule bundles, fetch promoted assets, claim bounty tasks, and earn credits via the GEP-A2A protocol. Use when the user mentions EvoMap, evolution assets, A2A protocol, capsule publishing, or agent marketplace.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
ALWAYS `render inertia: { key: data }` to pass data as props — instance variables are NOT auto-passed (only alba-inertia does that). Rails controller patterns for Inertia.js: render inertia, prop types (defer, optional, merge, scroll), shared data, flash, PRG redirects, validation errors. Use when writing controllers that load data, display records, or serve Inertia responses. CRITICAL: external URLs (Stripe/OAuth) MUST use inertia_location, NEVER redirect_to.
Structure a raw invention idea into a formal invention disclosure. Use when user says \"构建发明\", \"structure invention\", \"发明构建\", \"invention disclosure\", or wants to formalize a rough idea into a patent-ready structure.
Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies
ADR / H-share / A-share cross-market pricing analysis via Longbridge Securities — tracks the premium or discount between US-listed ADRs, HK-listed H-shares, and A-shares; calculates theoretical arbitrage spread; analyses constraints (FX controls, transaction costs, liquidity). Triggers: "ADR溢价", "ADR折价", "AH溢价", "ADR套利", "美股ADR", "三地比价", "跨市场套利", "双重上市", "ADR溢價", "ADR折價", "AH溢價", "ADR套利", "三地比價", "跨市場套利", "ADR premium", "ADR discount", "AH premium", "ADR arbitrage", "cross-listing premium", "dual-listed", "three-market comparison", "BABA ADR", "HK ADR"
Static basic information for all Longbridge-tradable securities — stocks, ETFs, options, warrants: company name, listing date, exchange, industry classification, total shares, circulating shares, market cap, IPO price, website, address. Futures / bonds / funds have limited coverage. Triggers: "基础信息", "股票信息", "上市日期", "总股本", "流通股", "IPO价格", "标的信息", "品种信息", "基礎信息", "股票資料", "上市日期", "總股本", "流通股", "IPO價格", "基本資料", "basic info", "stock info", "listing date", "shares outstanding", "IPO price", "symbol info", "static data", "security info", "exchange listing", "total shares"
Competitive landscape analysis — builds a competitive structure research framework covering market positioning (Porter five-forces), peer cross-comparison (PE/PB/ROE/revenue growth), market share estimation, competitive advantage assessment (moat), and potential disruptor identification. Triggers: "竞争格局", "竞争分析", "行业竞争", "市场份额", "竞争对手", "护城河", "波特五力", "竞争优势", "競爭格局", "競爭分析", "行業競爭", "市場份額", "競爭對手", "護城河", "波特五力", "competitive analysis", "competitive landscape", "market share", "competitive moat", "Porter five forces", "industry competition", "competitive advantage", "market positioning", "moat analysis", "NVDA vs AMD", "who are the competitors"
Portfolio performance attribution via Longbridge Securities — Brinson industry attribution (allocation / selection / interaction effects), factor alpha/beta decomposition (market β, value, momentum, size), and timing ability (Treynor-Mazuy model). For portfolio review and fund analysis. Requires login with Trade scope. Triggers: "业绩归因", "归因分析", "Brinson归因", "配置效应", "选股效应", "因子归因", "alpha来源", "择时效应", "業績歸因", "歸因分析", "Brinson歸因", "配置效應", "選股效應", "因子歸因", "performance attribution", "Brinson attribution", "allocation effect", "selection effect", "factor attribution", "alpha decomposition", "timing ability", "portfolio attribution", "T-M model", "Jensen alpha"
Quantitative strategy generation and optimisation framework via Longbridge — create, modify, and backtest quant strategies: parameter grid search, walk-forward validation, overfitting detection (in-sample vs. out-of-sample), strategy combination (multi-strategy correlation diversification), Sharpe / Calmar ratio optimisation. Generates Python code frameworks for local execution. Triggers: "策略优化", "策略生成", "参数优化", "网格搜索", "回测优化", "过拟合", "walk-forward", "策略回测优化", "策略組合", "策略優化", "策略生成", "參數優化", "網格搜索", "回測優化", "strategy optimization", "strategy generation", "parameter optimization", "grid search", "overfitting", "walk-forward validation", "strategy backtest", "Sharpe ratio", "Calmar ratio"
Routing guide for ImageKit's MCP servers (DAM, Admin, DevTools). Use before any ImageKit MCP call. DAM: media library search, upload, organize, share. Admin: origins, external storage, URL endpoints, account usage, usage analytics. DevTools: docs search and transformation URLs.
Generate audio on Moda: voiceover/TTS, narration, music, jingles, sound effects — up to 10 minutes per render, delivered as a file (no canvas slot). Use for: voiceover, narration, "read this aloud", jingle, background music, SFX. Pairs with moda-video-clip for scored video. Metered.
Data charts on Moda from real data — CSV, a table, pasted numbers: bar, line, area, pie, scatter, combo; an editable chart on a live canvas, exported png or pdf. Use for: "chart/graph/plot this data", "visualize these numbers". NOT: a chart inside an artifact another moda skill is building — the building skill keeps it; boxes-and-arrows or quadrants → moda-diagram.
Design documents on Moda — one page or fifty: one-pager, report, brief, whitepaper, proposal, fact sheet, handout, infographic; US-Letter/A4 pages on a live canvas, exported as a real PDF with selectable text. Use for: PDF (any page count), newsletter, email HTML, "make this markdown/README look designed". NOT: print pieces (poster, flyer, menu, resume, cards) → moda-document-print; slides → moda-deck; animated/motion → moda-video.
End-to-end research ideation pipeline: literature grounding → multi-track idea generation (3 personas: innovator/pragmatist/critic) → iterative refinement → ELO tournament ranking → update evo-memory (IDE) → user selects direction → expand into manuscript-quality proposal. Use when: user wants to find a research direction, brainstorm ideas, evaluate idea novelty, design a novel solution, rank/compare research ideas, or generate a research proposal. Do NOT use for finding/searching/reading papers (use paper-navigator), literature survey reports (use research-survey), or planning a paper (use paper-planning).
Use when adding authentication or authorization to safe actions with Better Auth -- covers betterAuth() middleware setup, typed session context (BetterAuthContext), custom authorize callbacks (AuthorizeFn), unauthorized() handling, nextCookies() configuration, and Next.js authInterrupts setup
Generates semantic commit messages following the Conventional Commits specification with proper types, scopes, breaking changes, and footers. Use when users request “write commit message,” “conventional commit,” “semantic commit,” or “format commit.”
Feishu video meetings and Minutes operations. Search past meetings across multiple dimensions, get meeting notes / AI artifacts / transcripts, query meeting recordings, download Minutes media files, and handle meeting bot join / leave / meeting events. Supports three entry paths: meeting-ids / minute-tokens / calendar-event-ids. Use when the user asks to "搜索会议", "会议记录", "会议纪要", "逐字稿", "妙记", "meeting", "vc search", "vc recording", "minutes", "下载妙记", "妙记视频", "会议录制", "会议机器人", "机器人入会", "vc bot", "从日程找会议".
Adapt a Capacitor or Ionic app to iPhone Duo, Apple's first foldable iPhone — why the standard Device Posture and Viewport Segments CSS does not reach a web view, what CSS gives you today, and how to get fold state, hinge angle and bar placement from the native side. Use when a Capacitor, Ionic, Angular, React or Vue app needs foldable iPhone support.
Main business composition and operating data — revenue breakdown by segment, gross margin by business line, and operating metrics (ROE / ROA / ROIC / working capital turnover). Shareholder / customer / supplier data is not available via Longbridge; pair with longbridge-news to extract segment detail from filings. Triggers: "主营业务", "业务构成", "分部营收", "业务拆分", "经营数据", "业务占比", "收入结构", "主营收入", "主營業務", "業務構成", "分部營收", "業務拆分", "經營數據", "業務佔比", "business breakdown", "revenue breakdown", "segment revenue", "business composition", "operating data", "revenue structure", "main business", "segment breakdown", "gross margin by segment".
Discounted cash flow (DCF) valuation model built from Longbridge financial data — historical FCF (operating cash flow minus capex), projected FCF with growth assumptions, WACC (Beta / risk-free rate / equity risk premium), terminal value, intrinsic value vs current price, and margin of safety. Triggers: "DCF", "现金流折现", "内在价值", "自由现金流", "WACC", "折现率", "安全边际", "终值", "现金流贴现", "現金流折現", "內在價值", "自由現金流", "折現率", "安全邊際", "DCF model", "discounted cash flow", "intrinsic value", "free cash flow", "WACC", "discount rate", "margin of safety", "terminal value", "Gordon growth".
Major index real-time quotes via Longbridge Securities — Shanghai Composite, CSI 300, ChiNext, Hang Seng, NASDAQ, S&P 500, Dow Jones and more; supports price, change, volume, historical trend. Triggers: "上证指数", "沪深300", "创业板指", "恒生指数", "纳斯达克", "标普500", "道琼斯", "指数行情", "指数点位", "上證指數", "滬深300", "創業板指", "恒生指數", "納斯達克", "標普500", "道瓊斯", "指數行情", "Shanghai Composite", "CSI 300", "Hang Seng Index", "NASDAQ", "S&P 500", "Dow Jones", "index quote", "market index".
Advanced options strategy framework via Longbridge — volatility surface concepts (SABR/local vol), dynamic Delta hedging, calendar spread, diagonal spread, volatility arbitrage (long vol/short vol), and skew trading. Triggers: "高级期权", "波动率套利", "日历价差", "对角价差", "动态对冲", "偏斜交易", "SABR", "Long Vol", "Short Vol", "Delta对冲", "伽马交易", "高階期權", "波動率套利", "日曆價差", "對角價差", "動態對沖", "偏斜交易", "advanced options", "calendar spread", "diagonal spread", "volatility arbitrage", "long vol short vol", "skew trade", "dynamic delta hedging", "gamma scalping", "SABR model".
Portfolio diagnosis via Longbridge — concentration risk (top-5 weight), sector/industry distribution, currency exposure, factor exposure (large/small-cap, value/growth), pairwise correlation risk across holdings, and deviation from benchmark. Triggers: "组合诊断", "持仓集中度", "组合分析", "因子暴露", "行业分布", "货币敞口", "相关性风险", "组合检查", "組合診斷", "持倉集中度", "組合分析", "因子暴露", "行業分布", "貨幣敞口", "相關性風險", "portfolio diagnosis", "concentration risk", "factor exposure", "sector distribution", "currency exposure", "correlation risk", "portfolio review", "holdings analysis".
Risk measurement and stress testing via Longbridge — computes VaR (historical simulation / parametric), CVaR (expected shortfall), max drawdown, Sharpe ratio, Calmar ratio, and runs historical scenario stress tests (2008 GFC, 2020 COVID crash, 2022 rate-hike cycle). Triggers: "风险分析", "VaR", "压力测试", "最大回撤", "夏普比率", "CVaR", "历史情景", "尾部风险", "风险测量", "風險分析", "壓力測試", "最大回撤", "夏普比率", "歷史情景", "尾部風險", "風險測量", "risk analysis", "VaR value at risk", "CVaR", "stress test", "max drawdown", "Sharpe ratio", "Calmar ratio", "tail risk", "historical scenario".
Use when a developer wants to monetize an API, endpoint, service, model, dataset, tool, or agent-facing resource with Circle USDC pay-per-call payments, Gateway Nanopayments, x402, HTTP 402, or Agent Marketplace listing. Triggers on: charge agents, sell to agents, paid API, monetize endpoint, micropayments, nanopayments seller, x402 seller, accept USDC, service listing.
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.
