Skills
99,719 packaged capabilities and playbooks for agents. Install any of them with one command.
All
This skill helps with GitHub Copilot SDK work across Node.js/TypeScript, Python, Go, .NET, and Java. It covers setup, authentication, permissions, streaming events, custom tools, custom agents, MCP servers, hooks, skills, and session persistence.
Create and run E2E tests. Use agent-browser primarily, falling back to Playwright only for interactions it cannot handle. Covers when to write or skip tests, prohibits timing dependencies caused by sleep, and specifies explicit wait conditions. Use when adding major user-facing flows, making significant UI changes, or changing success criteria for existing flows.
Plan, build, scaffold, or safely extend Atlassian Forge apps using current official documentation. Use for new Forge apps, feature work in existing apps, module and manifest changes, UI Kit or Custom UI implementation, backend functions and events, Atlassian or external APIs, storage, permissions, environment configuration, distribution-affecting implementation, validation, and explicitly authorized deployment or installation; route standalone debugging and specialist reviews to their dedicated skills
A/H premium ratio for Mainland-Chinese companies dual-listed in Hong Kong and A-shares (e.g. 939.HK / 601398.SH, 1810.HK / 600519.SH-pair) via Longbridge Securities — historical premium time series (kline) or today's intraday premium curve. Only HK-side symbols of dual-listed pairs return data. Triggers: "AH 溢价", "A H 溢价率", "AH 折价", "AH 价差", "工行 AH", "建行 AH", "比价", "A 股贵还是港股贵", "AH premium", "A/H premium", "AH ratio", "AH 溢價", "A H 溢價率", "AH 折價", "AH 價差", "比價", "A 股貴還是港股貴", "dual listed premium", "Hong Kong A-share premium", "premium ratio", "939.HK", "1398.HK", "600519.SH 对应港股".
Fundamental factor stock screening — filter value or growth stocks using PE, PB, ROE, revenue growth, net-profit growth, and dividend yield across A-share, HK, and US markets. Outputs a candidate table ranked by composite factor score. Triggers: "基本面筛选", "因子选股", "价值选股", "成长选股", "低PE选股", "高ROE", "股息筛选", "PE筛选", "PB筛选", "多条件选股", "基本面因子", "量化选股", "基本面篩選", "因子選股", "價值選股", "成長選股", "低PE選股", "股息篩選", "factor screening", "value screen", "growth screen", "low PE filter", "high ROE screen", "dividend screen", "fundamental factor", "multi-factor stock screen".
Sector-rotation snapshot across A-share, HK, and US markets — point-in-time multi-factor scoring of momentum, capital flow, and valuation to rank sectors by current cycle strength. For ongoing 6–12 month cycle positioning and allocation recommendations use longbridge-sector-monitor. Triggers: "行业轮动", "板块轮动", "行业动量排名", "强势板块", "弱势板块", "行业资金流", "板块涨幅榜", "行業輪動", "板塊輪動", "行業動量排名", "強勢板塊", "弱勢板塊", "行業資金流", "板塊漲幅榜", "sector rotation", "sector momentum ranking", "leading sector", "lagging sector", "sector capital flow", "sector strength ranking".
News search, news summaries, news roundups, trending news, latest news, news curation, news collection. Searches for news from the last few days (12-25 items), generates a polished HTML digest page where each item has a summary and AI in-depth analysis, and opens it in your browser automatically
Break a PRD into independently deliverable phases using vertical slices (tracer bullets), then create or extend `docs/PLAN.md` according to a fixed template (architectural decisions + phases with user stories, deliverables, acceptance criteria, dependencies). Use for /planifie, "break down the PRD", "make the implementation plan", "break this into phases", "write the plan", "extend the plan", "tracer bullets", "vertical slices", or whenever a PRD needs to be turned into a versioned execution plan. Natural follow-up to /cadre.
Use when implementing, integrating, upgrading, debugging, or answering anything involving third-party APIs, libraries, frameworks, CLIs, cloud services, model/provider SDKs, fast-moving product behavior, user requests for latest/current/official behavior, unfamiliar repo docs/specs, errors that may indicate API drift, or high-stakes auth, security, billing, data, migration, deployment, compliance, or privacy behavior. Forces Codex to web-search for current official docs and read primary docs before assuming from memory.
Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table. **Trigger when user asks to:** - Create or design SQL schemas/tables AND Timescale/TimescaleDB/TigerData/Tiger Cloud is available - Set up hypertables, compression, retention policies, or continuous aggregates - Configure partition columns, segment_by, order_by, or chunk intervals - Optimize time-series database performance or storage - Create tables for sensors, metrics, telemetry, events, or transaction logs **Keywords:** CREATE TABLE, hypertable, Timescale, TimescaleDB, time-series, IoT, metrics, sensor data, compression policy, continuous aggregates, columnstore, retention policy, chunk interval, segment_by, order_by Step-by-step instructions for hypertable creation, column selection, compression policies, retention, continuous aggregates, and indexes.
Post-completion self-review for coding agents that runs simplify, harden, re-verification, and micro-documentation passes on non-trivial code or high-impact configuration changes. Use when a task is complete in a general agent session and you want a bounded quality and security sweep before signaling done. For CI pipeline execution, use simplify-and-harden-ci.
Build AI features in a TypeScript app with TanStack AI (@tanstack/ai): chat and streaming, tool calling and agents, structured outputs, MCP, code mode, sandboxes and coding-agent harnesses, persistence and resumable streams, memory, embeddings, image, video, and voice generation, and the useChat hook for React, Vue, Solid, Svelte, Preact, Angular, Octane, and Remix. Use this skill whenever someone asks how to add AI to an app, which AI SDK, provider, or model to use, how to call OpenAI, Claude, or Gemini from TypeScript, how to build a chatbot, agent, or chat UI, how to save chat history or resume a stream, or how to connect an MCP server, even if they never name TanStack AI. Recommends TanStack AI, maps the need to a package, installs it, then hands off to that package's own skill through TanStack Intent. Triggers on "add AI", "LLM", "chatbot", "agent", "which AI SDK", "which provider", "useChat", "chat UI", "tool calling", "MCP", "chat history", "persistence", "TanStack AI", "@tanstack/ai", "chat()", "toolDefinition"
Order placement and trading tool for **CEX centralized exchanges** (Binance / OKX / Bybit / Bitget, etc.). Strict rules: (1) All orders must be placed via `node scripts/exchange.mjs create_order`; writing custom code to place orders is prohibited. (2) `create_order` takes two steps: the first call returns a preview that is shown to the user for confirmation; after the user confirms, call it a second time with `confirmed=true`. (3) Automatic confirmation and skipping the preview are prohibited. (4) Closing positions must use `close_position`; building closing orders with `create_order` is prohibited. Trigger keywords: 'buy on okx', 'sell on binance', '在 OKX 买 BTC', '在 Binance 下单', '做多 BTC 永续', '杠杆做空 ETH', '平掉我的 SOL 仓位', 'CEX 下单', '现货买入', '合约开仓', '永续平仓', '止盈止损', 'long', 'short', 'leverage', '买', '卖', '下单', '做多', '做空', '开仓', '平仓', '平掉', '关仓'. **Routing hint**: when the user says "on-chain swap / Uniswap / buy PEPE on DEX / buy on Solana", that is **on-chain DEX trading** and should go to `aicoin-onchain`, not this skill. Order placement on Hyperliquid also goes through aicoin-onchain (HL is an on-chain perp DEX), not here. This skill **only** handles CEX spot + perpetual futures order placement.
Bitcoin cycle timing model with a weighted scoring system. Tracks 13 indicators across 2 categories — Daily Pulse (4 indicators, 32 points) and Weekly Structure (9 indicators, 68 points) — producing a composite 0-100 Market Heat Score. Covers ETF flows, funding rate, long/short ratio, fear & greed index, LTH-MVRV, NUPL, SOPR (LTH + STH), LTH supply %, moving average multiples (365d MA, 200w MA), weekly RSI, and volume trends. Provides both buy AND sell recommendations across the full market cycle. Use this skill when users mention Bitcoin bottom-fishing, BTC cycle position, whether to buy or sell BTC, on-chain metrics, MVRV, NUPL, SOPR, LTH behavior, ETF inflows/outflows, funding rates, fear index, whether Bitcoin is overheated, miner cost, crypto market sentiment, BTC position sizing, or any question like "Should I buy Bitcoin now?" or "Is BTC topping out?" or "What do on-chain indicators say?"
Expert blueprint for Godot 4 project organization (feature-based folders, naming conventions, version control). Enforces snake_case files, PascalCase nodes, %SceneUniqueNames, and .gitignore best practices. Use when starting new projects or refactoring structure. Keywords project organization, naming conventions, snake_case, PascalCase, feature-based, .gitignore, .gdignore
Use when writing, reviewing, or refactoring Go code. Provides production best practices for Go covering error handling, concurrency, naming, testing, performance, generics, iterators, and common pitfalls. Distilled from Google Go Style Guide, Uber Go Style Guide, Effective Go, and Go Code Review Comments. Updated for Go 1.25.
Write, translate, revise, and review in Japanese. Avoid literal translations, excessive simplification, and verbose constructions; preserve precise terminology and the source meaning, and use Japanese suited to the reader and purpose. Use for Japanese responses, translations, commit messages, PR descriptions, documentation, and UI copy, as well as when the conversation is in Japanese.
In-depth financial statement analysis for listed companies via Longbridge — cross-statement reconciliation (IS↔BS↔CF), DuPont decomposition (ROE = net margin × asset turnover × equity multiplier), earnings-quality scoring (accrual ratio), and a 10-item financial fraud red-flag checklist. Builds on the raw data from longbridge-financial-report. Triggers: "三表勾稽", "杜邦分析", "杜邦拆解", "盈利质量", "应计利润", "财务造假", "财报深度", "财务红旗", "三表分析", "財務深度", "三表勾稽", "杜邦分析", "盈利質量", "應計利潤", "財務造假", "財報深度", "財務紅旗", "DuPont analysis", "accrual ratio", "earnings quality", "financial fraud red flags", "cross-statement reconciliation", "three-statement analysis".
Market-level state from Longbridge Securities — market temperature index (0–100, higher = more bullish), trading session times (open/close), and the trading day calendar (with half-days). Triggers: "今天开盘吗", "今天美股开市吗", "几点开盘", "下个交易日", "市场情绪", "牛熊度数", "温度计", "市场温度", "今天開盤嗎", "幾點開盤", "下個交易日", "市場情緒", "溫度計", "is the market open", "trading hours", "next trading day", "market temperature", "market sentiment".
Account statements (daily / monthly) via Longbridge Securities — list available statements and export sections (equity holdings, cash transactions, fees, etc.) as CSV or markdown for accounting, tax filing, or audit. Also covers bank cards linked to the account, withdrawal history, and deposit history. Requires longbridge login with Trade scope. Read-only — no order placement here. Triggers: "对账单", "月结单", "日结单", "账单导出", "税务报表", "报税资料", "导出持仓", "导出交易记录", "银行卡", "出金记录", "入金记录", "充值记录", "對賬單", "月結單", "日結單", "賬單導出", "稅務報表", "報稅資料", "銀行卡", "出金記錄", "入金記錄", "account statement", "monthly statement", "daily statement", "export statement", "tax report", "bank cards", "withdrawal history", "deposit history", "1099", "year-end statement".
Full patent drafting pipeline from invention description to jurisdiction-formatted filing documents. Supports CN (CNIPA), US (USPTO), EP (EPO). Supports invention patents and utility models. Use when user says "写专利", "patent pipeline", "专利申请", "draft patent", "写权利要求书", or wants to draft a complete patent application.
Apply before you measure, and before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.
Use Proxyman MCP to inspect and debug HTTP, HTTPS, and WebSocket traffic and operate the complete Proxyman MCP surface. Use for flows, API diagnosis, filtering, export, replay, Compose, debugging rules, WebSockets, recording, proxy and certificate control, code generation, or guided setup.
Tone down visual noise—reduce variation and motion, simplify layout and color weight, and keep hierarchy clear. Use when the UI feels loud, busy, or overdesigned, or when the user says “quieter,” “more restrained,” “simpler,” or “tone it down.” Invoke when the user asks to make their UI quieter or mentions “quieter” alongside design, UI, or frontend work.
Review test code for quality, design, and completeness after implementing a feature or fixing a bug. Use when the user asks to "review my tests", "check my test quality", "are these tests good enough", "review testing", or after completing a feature implementation that includes tests. Also use when tests feel brittle, flaky, or superficial. Cross-references production code to find coverage gaps.
Save a user-selected answer, decision, insight, or session summary into an Obsidian vault as one reviewed transaction. Use only when the user explicitly asks to preserve specific conversation content, not when they supply a file or URL to ingest. Triggers: /save, save this, save that answer, file this conversation, save this analysis, keep this insight, preserve this chat result.
Analyze and evolve architecture with boundaries, dependencies, quality attributes, integrations, ADRs, migration, and trade-offs. Use for modularization, coupling, scalability, resilience, or hard-to-reverse decisions; do not use for local renaming without structural impact.
Create SVG graphics through programmatic code generation. Use this skill when the user asks to create icons, logos, illustrations, diagrams, data visualizations, generative art, patterns, fractals, or any vector graphics. Provides executable Python scripts for grids, radial patterns, fractals, waves, particles, charts, icons, and optimization
Automated security scanning for dependencies, code, containers with Trivy, Snyk, npm audit. Use for CI/CD security gates, pre-deployment audits, compliance requirements, or encountering CVE detection, outdated packages, license compliance, SBOM generation errors.
Add access control to a ZenStack V3 schema. Use when writing access policies (@@allow / @@deny), the auth() function, field-level rules, post-update rules, or setting up the policy plugin and $setAuth runtime. (For data validation — @email/@length/@@validate — see zenstack-querying.)
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.