Data & Analytics
2,125 results
- Revenuecat ChartsRevenueCatUse when the user asks about RevenueCat data, analytics, charts, or KPIs — querying charts with get-chart-options-schema and get-chart-data, interpreting subscription metrics, or sharing dashboard chart links. For forecasts, projections, or run-rates, use revenuecat-forecasting.
- Revenuecat Dashboard LinksRevenueCatHow to link to pages in the RevenueCat dashboard (offerings, products, customers, settings, integrations, paywalls, experiments, etc.). For chart links with filters, use revenuecat-charts; for filtered customer lists, use revenuecat-audiences.
- Revenuecat ForecastingRevenueCatUse this skill whenever the user asks for a forecast, projection, extrapolation, or run-rate (MRR, ARR, revenue, or subscribers N months out; revenue to the end of the month or year), or asks what ad spend or acquisition is needed to hit a growth target. Load it before pulling charts for the projection.
- Zentao Clieasysoft使用 ZenTao CLI 查询和维护禅道中的产品、项目、需求、任务与 Bug，执行状态流转并汇总进展。当用户要求操作禅道数据、查询禅道中的个人待办，或安装、配置和排查 zentao-cli 问题时使用。
- Surfasksurf-aiYour AI agent's crypto brain. One skill, 100+ commands across 14 data domains — real-time prices, wallets, DeFi, on-chain SQL, prediction markets, and more. Natural language in, structured data out. Install once, access everything.
- Add Schedulesmotoya0118Insert schedule rows into the local database (schedules) from a JSON array. Use when bulk-loading schedule entries with script_name, input_value, and scheduled_date via scripts/add_schedules.py.
- Behavior Logmotoya0118Insert or read behavior log rows in the local database (behavior_logs). Use when recording a good/bad behavior entry, attaching a Pavlok API response JSON, adding a coach comment, or fetching recent logs via scripts/behavior_log.py.
- L SpaceplurigridL-Space Skill: The Library of All Libraries
- Paperproof ValidatorplurigridFormal Proof Visualization and Verification for Lean 4
- Supabase Extract Db StringyoanbernabeuCRITICAL - Detect exposed PostgreSQL database connection strings in client-side code. Direct DB access is a P0 issue.
- pinecone:assistantPineconeCreate, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context retrieval, and list. Recognizes natural language like "create an assistant from my docs", "ask my assistant about X", or "upload my docs to Pinecone".
- pinecone:docsPineconeCurated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.
- pinecone:full-text-searchPineconeCreate, ingest into, and query a Pinecone full-text-search (FTS) document index using the graduated document-schema API (Python SDK 10.0.0, API version 2026-07). Use when the user or agent asks to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct score_by clauses (text / query_string / dense_vector / sparse_vector), or compose with text-match…
- pinecone:helpPineconeOverview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.
- pinecone:mcpPineconeReference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.
- pinecone:n8nPineconeBuild n8n workflows using the Pinecone Assistant node or Pinecone Vector Store node. Use when building RAG pipelines, chat-with-docs workflows, configuring Pinecone nodes in n8n, troubleshooting Pinecone n8n nodes, or asking about best practices for Pinecone in n8n.
- pinecone:queryPineconeQuery integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the pinecone:cli skill instead. Requires PINECONE_API_KEY environment variable and Pinecone MCP server to be configured.
- pinecone:quickstartPineconeInteractive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time or wants a guided tour of Pinecone's tools.
- Ruoyi Code Generatoralffei基于若依(RuoYi)框架规范生成 CRUD 代码。当用户需要为数据表生成后端Java代码（实体类、Mapper、Service、Controller）、 前端Vue代码（列表页、API封装）、MyBatis XML映射文件或菜单初始化SQL时使用此技能。 适用于: 创建新模块、添加业务功能、根据表结构生成代码等场景。
- Data Scientistzenobi-usExpert data scientist specializing in statistical analysis, machine learning, and business insights. Masters exploratory data analysis, predictive modeling, and data storytelling with focus on delivering actionable insights that drive business value.
- Bazi Mingliwolke八字命理 (Bazi / Four Pillars of Destiny) divination skill. Use when users request birth chart analysis, fortune telling based on birth date/time, or Chinese astrology. Triggers on: 八字, 四柱, 命盤, 排盤, 算命, 命理, 生辰八字, 天干地支, 五行, 流年, 大運, bazi, four pillars, Chinese astrology, birth chart.
- Convex SeedconvexSeed or import data into the Convex database.
- Longbridge Business QuerylongbridgeMain business composition and operating data — revenue breakdown by segment, gross margin by business line, and operating metrics (ROE / ROA / ROIC / working capital turnover). Shareholder / customer / supplier data is not available via Longbridge; pair with longbridge-news to extract segment detail from filings.
- Longbridge Event OpportunitylongbridgeCorporate event opportunity scanner for A-share companies via Longbridge — identifies and analyses events that may create pricing dislocations: M&A / restructuring (asset injection / reverse merger), major shareholder increases / buybacks (positive signal), equity incentive plans (management alignment), index inclusion / exclusion (forced passive flows), and lockup expiry (potential selling…