数据与研究 Skills - 数据与研究 Agent Skills推荐与安装 - 第58页 - AI导哈

longbridge-financial-reportlongbridge/skillsFull three-statement financials (IS / BS / CF) for listed companies via Longbridge — income statement, balance sheet, cash flow statement; annual / semi-annual / quarterly periods. Use this skill to fetch raw financial data. For deep analysis (DuPont, accruals, fraud flags) use longbridge-financial-analysis; for health scoring use longbridge-financial-checkup. Triggers: "财务报表", "三张表", "利润表", "资产负债表", "现金流量表", "三表模型", "季报", "年报", "财报数据", "財務報表", "三張表", "利潤表", "資產負債表", "現金流量表", "三表模型", "季報", "年報", "財報數據", "financial statements", "income statement", "balance sheet", "cash flow statement", "three financial statements", "annual report data", "quarterly financials", "TSLA.US financials", "700.HK balance sheet".546 dynamics-crmmembranedev/app…n-skillsMicrosoft Dynamics 365 integration. Manage crm and sales data, records, and workflows. Use when the user wants to interact with Microsoft Dynamics 365 data.544 aicoin-tradingaicoincom/coinos-skills**CEX 中心化交易所**(Binance / OKX / Bybit / Bitget 等)的下单交易工具。严格规则:(1) 所有订单必须通过 node scripts/exchange.mjs create_order 执行,禁止写自定义代码下单 (2) create_order 分两步:第一次返回预览,展示给用户等确认,用户说确认后第二次加 confirmed=true 执行 (3) 禁止自动确认,禁止跳过预览 (4) 平仓必须用 close_position,禁止用 create_order 构建平仓单。Trigger 关键词: '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'. **路由提示**: 用户说“链上 swap / Uniswap / DEX 买 PEPE / Solana 上买”是**链上 DEX 交易**,应走 `aicoin-onchain` 而不是本 skill. Hyperliquid 上的下单也走 aicoin-onchain(HL 是链上 perp DEX),不是这里. 本 skill **只**处理 CEX 现货 + 永续合约下单。544 data-engineering-data-pipelinesickn33/agentic…e-skillsYou are a data pipeline architecture expert specializing in scalable, reliable, and cost-effective data pipelines for batch and streaming data processing.544 formula-derivationwanshuiyin/auto…in-sleepStructures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.543 alphaear-searchrkiding/awesome…e-skillsPerform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).543 feature-prioritization-assistantpmprompt/claude…nagementCalculate RICE scores and prioritize features systematically. Use when building your product roadmap and need to make data-driven prioritization decisions.543 longbridge-stock-researchlongbridge/skillsComprehensive equity research snapshot — integrates analyst consensus estimates, company fundamentals (revenue / profit / valuation), 60-day price history, and recent major news to produce an investment research snapshot similar to a sell-side equity research brief. Triggers: "股票研究", "个股分析", "研究报告", "个股快照", "综合分析", "股票调研", "股票深度", "個股分析", "研究報告", "個股快照", "綜合分析", "股票研究", "stock research", "equity research", "stock analysis", "research snapshot", "investment brief", "stock deep dive", "comprehensive analysis", "NVDA research", "700.HK analysis".543 sciomcyeachan-heo/oh-…audecodeOrchestrate parallel scientist agents for comprehensive analysis with AUTO mode542 research-refinewanshuiyin/auto…in-sleepTurn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-6-Astra review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.542 icp-builderopenclaudia/ope…a-skillsDefine ideal customer profiles and buyer personas with structured frameworks. Use when the user asks about ideal customer profile, ICP, buyer persona, target audience definition, customer segmentation, customer research, user interviews, or persona creation. Trigger phrases include "ideal customer profile", "ICP", "buyer persona", "who is my customer", "target audience", "customer profile", "persona", "customer segmentation", "user research", "customer interview", "who should I target".542 agent-observability-session-classifydatadog-labs/ag…t-skillsClassify whether user intent was satisfied in a Datadog Agent Observability trace or session. Three modes: (1) session_id — classify a single CMD+I assistant session with RUM; (2) trace_id — classify a single Agent Observability trace without RUM; (3) ml_app — sample and classify multiple sessions or traces from a given LLM app. Output is compact by default (verdict + one-sentence reason). Use when evaluating satisfaction, classifying sessions/traces, labeling data, or generating signal for agent-observability-eval-pipeline or agent-observability-trace-rca.542 agent-observability-experiment-analyzerdatadog-labs/ag…t-skillsAnalyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when user says "analyze experiment", "compare experiments", "analyze against baseline", or provides one or two experiment IDs for analysis.542 alphagenome-atlas-website-linksgoogle-deepmind/science-skillsConstructs deep-links and URLs for the AlphaGenome Atlas website. Supports generating single-variant exploration links (1-based VCF-style coordinates), genomic locus views (1-based closed chr:start-end), candidate summary tables, and AlphaGenome reference vs. alternate predictions. Use when visualizing, exploring, charting, or linking genetic variants and genomic loci on the AlphaGenome Atlas, or when asked to inspect, view, or link predictions for a genomic variant. Don't use for computing raw AlphaGenome variant predictions directly without Atlas URLs (use alphagenome-single-variant-analysis or alphagenome-variant-impact-score).542 longbridge-positionslongbridge/skillsAccount holdings — stock positions, fund positions, multi-currency assets / cash, margin ratio (initial / maintenance / forced liquidation), and estimated max buy/sell quantity for a symbol. Requires longbridge login. Triggers: "我的持仓", "我有什么股票", "账户余额", "我有多少美金", "基金持仓", "我能买多少股", "保证金率", "杠杆要求", "账户全貌", "我的持倉", "賬戶餘額", "我有多少美金", "基金持倉", "保證金率", "賬戶全貌", "my holdings", "stock positions", "account balance", "how much can I buy", "margin ratio", "max buy qty", "portfolio snapshot".541 stock-analyzerfeiyuggg/opencl…analyzer价值投资股票分析工具，融合巴菲特+段永平框架并自动生成五维分析、估值、建仓与期权建议。适用于美股/港股个股研究、财报后复盘、按年观察月度季节性、以及需要纳入中期选举周期/节假日效应并筛选下跌期防御股的场景。541 analyzing-network-traffic-with-wiresharkmukul975/anthro…y-skillsCaptures and analyzes network packet data using Wireshark and tshark to identify malicious traffic patterns, diagnose protocol issues, extract artifacts, and support incident response investigations on authorized network segments.541 kelly-criterionagiprolabs/clau…g-skillsKelly criterion optimal sizing with fractional variants, edge estimation, and practical application for crypto trading540 metabase-representation-formatmetabase/agent-skillsUnderstands the Metabase Representation Format — a YAML-based serialization format for Metabase content (collections, cards, dashboards, documents, segments, measures, snippets, transforms, actions, and data apps). Use when the user needs to create, edit, understand, or validate Metabase representation YAML files, or when working with Metabase serialization/deserialization (serdes). Covers entity schemas, MBQL and native queries, visualization settings, parameters, and folder structure.540 mermaidmarkdown-viewer/skillsCreate flowcharts, sequence diagrams, state machines, class diagrams, Gantt charts, and mindmaps using simple text-based syntax. Best for process flows, API interactions, and technical documentation. NOT for data-driven charts (use vega), quick KPI visuals (use infographic), or layered system architecture (use architecture).539 polarsdavila7/claude-…emplatesFast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.539 alphaear-reporterrkiding/awesome…e-skillsPlan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output.536 longbridge-supply-chainlongbridge/skillsIndustry supply-chain analysis via Longbridge Securities — maps upstream / midstream / downstream structure for a sector, identifies key bottleneck nodes, assesses bargaining power and profitability at each tier, and evaluates investment value of core supply-chain companies using Longbridge data. Triggers: "产业链", "供应链", "上中下游", "产业链分析", "供应链分析", "咽喉环节", "卡脖子", "产业链投资", "产业链研究", "產業鏈", "供應鏈", "上中下游", "產業鏈分析", "供應鏈分析", "咽喉環節", "supply chain", "value chain", "upstream midstream downstream", "supply chain analysis", "bottleneck", "industry chain", "supply chain investment".536 research-ideationgalaxy-dawn/cla…-scholarThis skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", or mentions research project initiation phase. Provides comprehensive guidance for research startup workflow from idea generation to planning.536 longbridge-ah-premiumlongbridge/skillsA/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".535 roblox-data-storesel4cteo/roblox-skillsPersistence and cross-server data - DataStoreService (UpdateAsync, retries, budgets, limits), session locking with ProfileStore, schema migrations, OrderedDataStore leaderboards, MemoryStore queues/sorted maps/hash maps, MessagingService, right-to-be-forgotten. Use when saving player data, building leaderboards or queues, or fixing data loss, duplication, or throttling.535 tech-earnings-deepdivestar23/day1global-skillsTech Stock Earnings Deep Dive Analysis and Multi-Perspective Investment Memo System (v3.0). Covers 16 major analysis modules (A-P), 6 investment philosophy perspectives, institutional-grade evidence standards, anti-bias framework, and actionable decision system. When users mention topics such as tech company earnings analysis, quarterly/annual report interpretation, earnings call, revenue growth analysis, margin changes, guidance, valuation models, DCF, reverse DCF, EV/EBITDA, PEG, Rule of 40, management analysis, competitive landscape, position sizing, whether to buy/sell/add to a tech stock position, how to interpret a company's latest earnings, doing a deep dive, multi-angle valuation, how investment masters view a company, variant view, key forces, kill conditions, ownership structure, executive team, partner ecosystem, macro policy impact, etc., this skill should be used. Even if the user simply asks "help me look at NVDA's latest earnings" or "how did META do this quarter" or "should I keep holding MSFT," this skill should be triggered to provide comprehensive earnings analysis and a multi-perspective investment memo. This skill complements the us-value-investing skill — us-value-investing focuses on long-term value four-dimensional scoring, while this skill focuses on in-depth dissection of the latest earnings, comprehensive judgment across multiple investment philosophies, and actionable position decisions.534 architectural-analysispedronauck/skillsAudit architecture, dead code, duplication, type confusion, and code smells across a codebase. Excludes formatting, performance profiling, security audits, and feature-level reviews.534 longbridge-market-templongbridge/skillsMarket-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".534 longbridge-financial-analysislongbridge/skillsDeep 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 10-item financial fraud red-flag checklist. Builds on 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".534