数据分析
2,125 个结果
- AlliumalchemyplatformQuery Allium APIs for wallet PnL (current + historical, by-wallet and by-token), holdings timeseries history, Hyperliquid HyperCore trading data (info, fills, orders, orderbook), and custom SQL analytics across 70+ chains.
- Pipefy Database TablespipefyUse this skill when the user wants to work with Pipefy Database Tables — creating/reading/updating/deleting tables, records (rows), or table fields (schema columns).
- Bigquery Ai MlGoogle Cloud PlatformSkill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).
- 中国A股分析工具agentbay.aiA股价值投资分析工具，提供股票筛选、个股深度分析、行业对比和估值计算功能。基于价值投资理论，使用akshare获取公开财务数据，适合低频交易的普通投资者。
- Data AnalysisakillnessAnalyze datasets to extract insights, identify patterns, and generate reports.
- Trading AnalysisgracefullightGenerate professional investment reports for stocks and ETFs. Use when user requests market analysis, investment reports, stock analysis, or trading recommendations for financial instruments (SPY, AAPL, TSLA, etc.). Creates institutional-grade reports with technical indicators, AI-powered insights, charts, and investment recommendations.
- Sent AnalyticssentdmQueries Sent phone-number capabilities and aggregate messaging, deliverability, and contact analytics with the Sent MCP tools. Use when a user asks for number lookup, line or channel capability, messages sent, delivery rate, contact growth, dashboard metrics, period comparisons, or date-bounded trends. Use messaging-performance-analyzer for message-level evidence and root-cause diagnosis.
- SupabasesalavenderDatabase, auth, and backend expertise for Supabase operations in [PROJECT_NAME]
- Xstate V5statelyaiDesign, implement, review, and migrate XState v5 state machines and statecharts in TypeScript using modern v5 patterns. Use this whenever the user mentions XState, actors, state machines, statecharts, guards, transitions, workflows, or Stately, or is modeling non-trivial UI/app/process logic in a codebase that uses XState. Prefer a short machine sketch before code when requirements are fuzzy.
- Fiftyone Dataset ExportVoxel51Exports FiftyOne datasets to standard formats (COCO, YOLO, VOC, CVAT, CSV, etc.) and Hugging Face Hub. Use when converting datasets, exporting for training, creating archives, sharing data in specific formats, or publishing datasets to Hugging Face.
- Fiftyone Dataset Inferencevoxel51Run ML model inference (YOLO, YOLOv8, CLIP, SAM, Detectron2, etc.) on FiftyOne datasets. Use when running models, applying detection, classification, segmentation, embeddings, or any model prediction task. Also use for end-to-end workflows that include importing data then running inference.
- Fiftyone Embeddings VisualizationVoxel51Visualizes datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when exploring dataset structure, finding clusters, identifying outliers, or understanding data distribution.
- Fiftyone Find DuplicatesVoxel51Finds duplicate or near-duplicate images in FiftyOne datasets using brain similarity computation. Use when deduplicating datasets, finding similar images, or removing redundant samples.
- Fiftyone Generate Data Lens ConnectorVoxel51Generate a Data Lens connector from an external database schema. Use when users want to connect an external data source (PostgreSQL, BigQuery, Databricks, MySQL, etc.) to FiftyOne Data Lens, or when they have a database schema and want to browse/import that data through the FiftyOne App.
- Fiftyone TroubleshootVoxel51Diagnose and fix common FiftyOne issues automatically. Use when a dataset disappeared, the App won't open, changes aren't saving, MongoDB errors occur, video codecs fail, notebook connectivity breaks, operators are missing, or any recurring FiftyOne pain point needs solving.
- Fiftyone Zoo Remote ModelVoxel51Use when integrating a model into FiftyOne's remote model zoo — detection, classification, segmentation, embedding, keypoint, or vision-language (VLM) models loaded via `register_zoo_model_source` and `load_zoo_model`, then applied with `dataset.apply_model`.
- FormedibleDimitriGilbertExpert knowledge for Formedible - A React form library built on TanStack Form with 22+ field types, multi-page forms, analytics, and type-safe validation
- Asb Carol DealbreakersasmartbearFacilitates the fourth step of a proven ideal-customer (ICP) method: refining classified weaknesses into deal-breakers — the circumstances that disqualify the product outright, no matter how well everything else fits — and mapping the anti-market segments who therefore will never buy.
- Asb Carol KeystonesasmartbearFacilitates the third step of a proven ideal-customer (ICP) method: refining classified strengths into keystones — the specific characteristics, behaviors, or circumstances that make a customer NEED an extreme version of a strength, badly enough to drive the purchase alone.
- Game Balance CheckAlterLab Creative Technologies LaboratoryInvoke when the user needs to validate game balance, tune economy systems, analyze progression curves, evaluate difficulty scaling, or check reward pacing. Includes Monte Carlo simulation and statistical validation. Triggers on: "balance", "economy tuning", "progression curve", "difficulty scaling", "reward pacing", "Monte Carlo", "fairness check".
- Headless Intelligent SearchvtexApply when implementing search functionality, faceted navigation, or autocomplete in a headless VTEX storefront. Covers product_search, autocomplete_suggestions, facets, banners, correction_search, and top_searches endpoints, plus analytics event collection. Use for any custom frontend that integrates VTEX Intelligent Search API for product discovery and search result rendering.
- Vtex Io MasterdatavtexApply when working with MasterData v2 entities, schemas, or MasterDataClient in VTEX IO apps, or when anyone designing or implementing a solution must scrutinize whether Master Data is the correct storage. The skill prompts hard questions: native Catalog or other VTEX stores, OMS, or an external database may be better; do not default to MD because it is convenient.
- Anycap Human Interactionanycap-aiCollect structured visual feedback from humans using AnyCap's annotation tool, or create and iterate on diagrams using the interactive whiteboard (Excalidraw). Covers image annotation, URL/web page review with screen recording, video review, audio feedback, and collaborative diagramming with Mermaid input.
- Diagram Animationiart-aiThis skill should be used when the user asks to "animate this diagram", "build a flowchart that reveals step by step", "animate an architecture/sequence diagram", "make a chart animate in", "grow the bars / draw the line / count up the number", "show data flowing along a connector", or "turn a static diagram into a guided reveal". Covers SVG, Framer Motion, D3, and Remotion.