Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Data & databases
Analyze YouTube channel and video performance using the YouTube Data API. Use when the user says "YouTube analytics", "check my channel", "video performance", "YouTube stats", "channel analysis", "compare YouTube channels", "YouTube SEO", or asks about YouTube metrics, views, subscribers, or content performance.
Build self-contained interactive HTML dashboards with Chart.js, dropdown filters, and professional styling. Use when creating dashboards, building interactive reports, or generating shareable HTML files with charts and filters that work without a server.
Hyperliquid on-chain perpetuals analytics from AiCoin Open API v3 — the primary source for on-chain whale / smart-money / large-fund movement. Use this skill when the user asks about: Hyperliquid whale positions, HL liquidations, HL open interest, HL trader analytics, HL taker flow, HL funding history, AND generic on-chain whale activity — '链上大资金动向', '链上鲸鱼', '聪明钱', '大户在干嘛', 'on-chain whale', 'smart money', 'Hyperliquid大户', 'HL鲸鱼', 'HL持仓', 'HL清算', 'HL持仓量', 'HL交易员', 'HL 资金费率' — because HL is the deepest on-chain perp venue and AiCoin exposes its whale positions / events / liquidations / trader stats without needing any wallet key. For general crypto prices/news use aicoin-market; for DEX swaps / wallets use aicoin-onchain; for CEX trading use aicoin-trading; for Freqtrade use aicoin-freqtrade.
List active real-time WebSocket subscriptions in the current Longbridge CLI session — symbols, sub_types (quote / depth / trades / brokers), candlestick periods. Diagnostic only; rarely needed in day-to-day use. Requires longbridge login. Triggers: "What real-time data am I subscribed to", "real-time connection status", "push status", "active subscriptions", "websocket subscriptions", "real-time stream status".
HARD BLOCK — never use for prediction-market/Polymarket UpDown queries; route to okx-dapp-discovery when a named DApp (Polymarket/Aave/Hyperliquid/PancakeSwap/Morpho) appears with a timeframe, or 涨跌/updown for BTC/ETH/SOL/XRP/BNB/DOGE/HYPE. Otherwise, read-only on-chain DEX data, 6 groups: TOKEN (search, hot/热门, liquidity, holders/whale, risk metadata, cluster/持仓集中度, trade history, top traders); MARKET (price/价格, K线/OHLC, index price, wallet PnL/胜率, trade history); SIGNAL (smart money/KOL/whale tracking, buy signals/信号, leaderboard/牛人榜); SOCIAL (news/新闻, sentiment/情绪, token vibe/热度, KOL leaderboard); TRENCHES (pump.fun/meme launches/新盘/扫链, dev reputation, bundle/sniper detection/捆绑狙击者, co-investor — read-only; buy/snipe → okx-dapp-discovery); WS (onchainos ws CLI, or custom WebSocket script). Also owns Market API payment/x402, quota/额度, and MARKET_API_*_OVER_QUOTA/confirming:true for all 6 groups.
Build search applications and analyze query log analytics data with OpenSearch. Use this skill when the user mentions OpenSearch, search apps, index setup, search architecture, semantic search, vector search, hybrid search, BM25, dense vector, sparse vector, agentic search, RAG, embeddings, KNN, PDF ingestion, document processing, or any related search topic. Also use it for log analytics and observability — when the user wants to set up log ingestion, query logs with PPL, analyze error patterns, set up index lifecycle policies, investigate traces, or check stack health. Activate even if the user says log analysis, Fluent Bit, Fluentd, Logstash, syslog, traceId, OpenTelemetry, or log analytics without mentioning OpenSearch.
Tools for creating, querying, editing and managing Feishu Bitable (multidimensional table). Supports 27 field types, advanced filtering, batch operations and view management. **Use this skill when**: (1) you need to create or manage a Feishu Bitable app; (2) you need to add, query, update or delete records (rows) in a Bitable; (3) you need to manage fields (columns), views or data tables; (4) the user mentions "多维表格", "bitable", "data table", "record" or "field"; (5) you need to import data in bulk or batch-update a Bitable
Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate notes, and detect drift. Use when working with structured note types (Task, Person, Meeting, etc.) to maintain consistency across the knowledge graph.
Precision Financial Insights - Analyze stocks, companies, and market sentiment using authoritative data. Powered by Yahoo Finance and enhanced with intelligent news synthesis by we-crafted.com/agents/financial-market-analysis - Buy CRAFTED_API_KEY in our website to start using
Create Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics. Do NOT use for prognostic time-stepping models, data sources, or installation.
Use when running people attribute search (PAS) image augmentation and auto-labeling workflows on OSMO: flow selection, preflight, submit-time interpolation, monitoring, and output retrieval. Trigger keywords: people attribute search, PAS, person augmentation, attribute search, person re-identification, clothing augmentation, person crop augmentation.
Expert-level data science, analytics, visualization, and statistical modeling. Use when the user mentions analytics, visualization, statistics, pandas, or NumPy, or when the task involves Data Analysis, Machine Learning, Data Visualization, or Feature Engineering.
Unified Kaggle skill. Use when the user explicitly mentions Kaggle, kaggle.com, a Kaggle URL, Kaggle competitions, Kaggle datasets/models/notebooks, Kaggle forums/discussions/writeups, Kaggle benchmarks, hackathons hosted on Kaggle, Kaggle badges, or Kaggle account setup. Do not use for generic ML, GPU/TPU, notebook, dataset, benchmark, or data-science tasks unless the user clearly ties them to Kaggle.
Candlestick / OHLCV data and intraday minute series for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Supports 1m / 5m / 15m / 30m / 1h / day / week / month / year periods, history by date range, and today's intraday curve. Triggers: "K线", "K 线", "走势", "历史价格", "日K", "月K", "周K", "分时图", "近一周走势", "K線", "走勢", "歷史價格", "日K", "月K", "週K", "分時圖", "candlestick", "candles", "OHLCV", "intraday chart", "price history", "weekly chart", "monthly chart", "1-year chart", "前复权", "前復權", "forward adjusted".
Intraday capital-flow time series and large/medium/small order distribution for a single stock via Longbridge Securities. Same-day data only (no historical range). Triggers: "资金流向", "主力资金", "净流入", "大单", "中单", "小单", "资金分布", "机构资金", "主力净流入", "資金流向", "主力資金", "淨流入", "大單", "中單", "小單", "資金分佈", "機構資金", "capital flow", "money flow", "net inflow", "large order distribution", "institutional flow".
Valuation analysis for a single stock via Longbridge — current PE / PB / PS / EV-EBITDA snapshot, historical percentile (1–3 years), industry median + relative premium, industry rank. Triggers: "估值贵不贵", "是不是被低估", "PE 历史百分位", "PB 分位", "行业溢价", "行业折价", "X 现在适合买不", "估值水平", "估值貴不貴", "是否被低估", "PE 歷史分位", "行業溢價", "行業折價", "is X expensive", "is X undervalued", "PE percentile", "industry valuation premium", "valuation snapshot".
Real-time quotes, static reference, and valuation indices for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Returns last price, change, volume, turnover, market cap, industry, PE/PB, turnover-rate, and other indicators. Triggers: "现在多少钱", "股价", "涨跌幅", "成交量", "市值", "市盈率", "PE", "PB", "换手率", "行业", "現在多少", "股價", "成交量", "市值", "市盈率", "stock price", "current price", "quote", "market cap", "PE ratio", "valuation", "NVDA price", "AAPL quote", "茅台市值", "腾讯股价", "700.HK", "600519.SH".
Understands the Metabase Database Metadata Format — a YAML-based on-disk representation of databases, tables, and fields synced from a Metabase instance. Use when the user needs to read, edit, or understand metadata files produced by `@metabase/database-metadata`, or when reasoning about a project's schema (columns, types, FK relationships) through the `.metadata/databases` folder.
K-line candlestick pattern recognition for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Identifies 15 classic patterns (hammer, hanging man, engulfing, doji, morning/evening star, three white soldiers/black crows, shooting star, etc.) from OHLCV data and generates a composite bullish/bearish/neutral signal. Triggers: "K线形态", "蜡烛图形态", "锤子线", "吞没形态", "十字星", "早晨之星", "暮色之星", "三白兵", "三黑鸦", "吊颈线", "射击之星", "K線形態", "蠟燭圖形態", "錘子線", "吞沒形態", "早晨之星", "暮色之星", "candlestick pattern", "hammer", "engulfing", "doji", "morning star", "evening star", "three white soldiers", "shooting star", "K-line pattern".
Every Scrape Creators endpoint across 28 platforms, with credit-aware comment mining and a local corpus no other Scrape Creators tool has. Trigger phrases: `find which platforms a creator is on`, `pull the comments and replies from this post`, `monitor a brand's ads`, `search creator transcripts for a keyword`, `how many credits would this sweep cost`, `use scrape creators`, `run scrape-creators`.
Define reusable Airflow task group templates with Pydantic validation and compose DAGs from YAML. Use when creating blueprint templates, composing DAGs from YAML, declaring shared variables or per-environment profiles, validating configurations, sharing templates as an installable package, or enabling no-code DAG authoring for non-engineers.
Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes. Use when you need to validate whether observed differences are real, size an experiment correctly before launch, or interpret test results with confidence.
Use when a user is enabling, configuring, optimizing, or debugging dbt State (the server-backed reuse mechanism that clones or skips nodes instead of rebuilding them). Use when they conflate dbt State with the `state:modified` selector or `--state` deferral. Use when asked about models rebuilding unexpectedly, views with `select *` rebuilding, volatile SQL (`current_timestamp()`, `random()`) rebuilding or not, cross-developer cloning, lag_tolerance.
Design short-term, long-term, and graph-based memory architectures. Use when building agents that must persist across sessions, needing to maintain entity consistency across conversations, or implementing reasoning over accumulated knowledge.
ETF analysis framework via Longbridge — product screening (AUM/expense ratio/index), tracking error, liquidity (bid-ask spread/volume), premium/discount (NAV vs market price), and A-share ETF allocation insights. Triggers: "ETF分析", "ETF选择", "ETF跟踪误差", "ETF溢价", "ETF流动性", "ETF费率", "ETF规模", "宽基ETF", "行业ETF", "指数基金", "ETF選擇", "ETF追蹤誤差", "ETF溢價", "ETF流動性", "ETF費率", "ETF規模", "指數基金", "ETF analysis", "ETF selection", "tracking error", "ETF premium discount", "ETF liquidity", "expense ratio", "broad market ETF", "sector ETF", "index fund".
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.
A financial analyst that answers money questions with a working Excel model. It pins down the question, gathers the inputs, builds a live-formula workbook with a checks sheet, proves it ties, and leads with the answer and what would change it. Covers DCF, comps, LBOs, merger models, three-statement forecasts, operating budgets and budget-vs-actual, 13-week cash flows, capital budgeting, startup cap tables, project finance, real-estate acquisitions and development, rentals, flips, GP/LP waterfalls, scenarios and breakevens, and audits of models someone else built. Use when the user asks what a company, project or property is worth, whether a deal or investment works, whether the company will run out of cash, or for a “DCF”, “comps”, “LBO”, “merger model”, “3-statement model”, “budget”, “variance”, “13-week cash flow”, “NPV”, “cap table”, “SAFE”, “project finance”, “DSCR”, “pro forma”, “rent roll”, “cap rate”, “waterfall”, “IRR”, “sensitivity”, “what if”, or to “review” or “fix” a model.
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.