agent

通过关键词、合约地址或链查询代币详情。搜索代币，获取元数据与社交链接，检索实时市场数据（价格、价格趋势、交易量、持币者、流动性），并获取 K 线图。当用户搜索代币、查看代币价格、浏览市场数据或请求 K 线图时，请使用此技能。

Smart Money analytics on OKX: leaderboard traders, position tracking, trade records, closed-position history, aggregated consensus signals, and signal history.…

Personal intelligence agent that aggregates 27 OSINT data sources into a self-hosted Jarvis-style dashboard with Telegram/Discord bots, LLM analysis, and…

当用户询问实时体育比分、排名、球队统计数据、比赛摘要（包括技术统计、最佳球员、得分详情、赔率和胜…

使用 MiniMax vision MCP 工具分析、描述并提取图像信息。使用场景：用户分享了图像文件路径或 URL（任何包含 .jpg、.jpeg、.png、.gif、.webp、.bmp 或 .svg 文件扩展名的消息），或在图像附近使用了以下任何词语/短语：“analyze”、“analyse”、“describe”、“explain”、“understand”、“look at”、“review”、“extract text”、“OCR”、“what is in”、“what's in”、“read this image”、“see this image”、“tell me about”、“explain this”、“interpret this”，并与图像、截图、图表、图表、模型图、线框图或照片相关联。以下情况也会触发：UI 模型图审查、线框图分析、设计评估、从图表中提取数据、目标检测、人物/动物/活动识别。触发条件：任何带有图像文件扩展名（jpg、jpeg、png、gif、webp、bmp、svg）的消息，或任何要求对图像、截图、图表、图表、照片、模型图或线框图进行分析/描述/理解/审查/提取文本的请求。

此技能应在用户询问加密货币价格、市场数据、K线图表、资金费率、未平仓合约、多空比、大单交易等信息时使用。

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In-process ClickHouse SQL engine for Python — run ClickHouse SQL queries directly on local files, remote databases, and cloud storage without a server. Use when the user wants to write SQL queries against Parquet/CSV/ JSON files, use ClickHouse table functions (mysql(), s3(), postgresql(), iceberg(), deltaLake() etc.), build stateful analytical pipelines with Session, use parametrized queries, window functions, or other advanced ClickHouse SQL features. Also use when the user explicitly mentions chdb.query(), ClickHouse SQL syntax, or wants cross-source SQL joins. Do NOT use for pandas-style DataFrame operations — use chdb-datastore instead.

当用户询问金融数据（"BTC 价格"、"NVDA 市盈率"）、市场分析、股票或加密货币研究、量化策略、回测（"回测一个动量策略"）、资产或投资组合追踪，或帮助将投资想法转化为 Alva 上的实时策略、仪表板和分析时使用。依托 250+ 金融数据源，涵盖加密货币、股票、宏观、链上和社交数据，以及云端分析和回测能力。当用户询问 Alva 平台功能时也使用此技能。

Query Developer Experience (DX) data via the DX Data MCP server PostgreSQL database. Use this skill when analyzing developer productivity metrics, team…

Fast in-memory DataFrame library for datasets that fit in RAM. Use when pandas is too slow but data still fits in memory. Lazy evaluation, parallel execution,…

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content…

Unified Kaggle skill. Use when the user mentions kaggle, kaggle.com, Kaggle competitions, datasets, models, notebooks, GPUs, TPUs, hackathons, writeups,…

Query the public REST APIs that power dashboard.internetcomputer.org. Covers canister metadata, ICRC ledger data, SNS data, ICP ledger, and network metrics…

Use for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical…

UKG Ready integration. Manage Employees, Timesheets, Schedules, Payrolls, Reports. Use when the user wants to interact with UKG Ready data.

Query Allium APIs for wallet PnL (current + historical, by-wallet and by-token), holdings timeseries history, Hyperliquid HyperCore trading data (info, fills,…

Master data manipulation, analysis, and visualization with Pandas, NumPy, and Matplotlib