Data & Analytics
2,125 results
- Snowflake Dbt Airbnb Analyticsreason-machinesInside Airbnb data warehouse built with Snowflake and dbt, demonstrating modern analytics engineering patterns with staging, intermediate, and mart layers.
- socialdatax-creator-researchDevinChen2014当用户需要做社媒创作者研究、小红书博主画像、抖音达人画像、快手达人画像、账号资料、近期内容复盘、合作对象初筛或对标账号观察时使用。来自 SocialDataX 社媒数据助手。
- Telegram Group Analytics Botreason-machinesTrack and analyze Telegram group activity including member growth, message counts, engagement metrics, and generate automated reports
- Telegram Group Statistics Analytics Botreason-machinesTrack and analyze Telegram group activity with member growth, message stats, engagement metrics, and automated daily/weekly reports
- tieba-demand-insightsDevinChen2014当用户需要做百度贴吧用户需求研究、产品痛点归纳、购买顾虑整理或常见问题分析时使用。输入产品关键词、吧名或帖子链接，基于帖子与楼层讨论输出带原话依据的需求报告。来自 SocialDataX 社媒数据助手。
- toutiao-content-researchDevinChen2014当用户需要做今日头条内容研究、文章选题、热点角度整理或同主题内容对比时使用。输入主题或内容链接，基于相关作品和详情输出样本概览、标题模式与可继续验证的内容方向。来自 SocialDataX 社媒数据助手。
- VitessPlanetScaleVitess best practices, query optimization, and connection troubleshooting for PlanetScale Vitess databases. Load when working with Vitess databases, sharding, VSchema configuration, keyspace management, or MySQL scaling issues.
- Vsql DocsVillageSQLAnswer a VillageSQL question from the published documentation at villagesql.com/docs. Use when the user asks how a VillageSQL feature, extension, SQL statement, system variable, or error message works.
- Wecomcrackerkizzhang从当前 Windows 用户自己的企业微信本地聊天中重建个人工作历史：整理有证据支持的时间线，找回任务与承诺，识别决定、期限、交付物、阻塞、依赖、已完成事项和未闭环跟进，并生成可审阅的项目管理交接预览。当企业微信 API 或 CLI 的历史范围不足时，使用零第三方 Python 依赖、Windows CNG 和不可变只读 SQLite 查询来解密、校验、检查、列出和搜索本地 wxSQLite3 数据库。不得用于其他人的账号、远程机器、绕过 Windows 权限、发送消息，或把推断出的任务直接写入外部项目系统。
- YantraniyankhadkaMake interactive, step-by-step diagrams and one-page answers as single offline HTML files with Yantra: architecture and system diagrams, request and data flows, pipelines, sequence diagrams for APIs, auth and payment flows, ERD / data model / database schema diagrams, class diagrams, state machines and lifecycles, org charts, decision trees, mind maps, and explainer pages, comparisons or…
- YantraniyankhadkaMake interactive, step-by-step diagrams and one-page answers with Yantra, written as Yantra JSON that the user opens in the Yantra playground or builds into one offline HTML file: architecture and system diagrams, request and data flows, pipelines, sequence diagrams for APIs, auth and payment flows, ERD / database schema and class diagrams, state machines and lifecycles, org charts, decision…
- ykdojo/gh-star-historyYKCollectionVisualize GitHub star history and regional breakdown as interactive charts. Date range selection, star growth tracking, period comparison, and dynamic regional breakdown.
- Youtube Channel Analytics Dashboardreason-machinesDashboard tool for analyzing YouTube channel metrics including views, watch time, subscriber growth, revenue, and audience demographics with real-time data visualization.
- 11 Data Engineerk1lgorUse when designing database schemas, writing complex SQL queries, building ETL pipelines, or optimizing data transformations — with validation at every step
- 13 Backend Architectk1lgorUse when implementing server-side logic, designing middleware, integrating databases, or building API endpoints — with TDD and verification discipline
- 16 Data Analystk1lgorUse when performing data visualization, statistical analysis, generating reports, or extracting insights from datasets
- Altimate CodeAltimateAIDelegates dbt and warehouse work to altimate-code, a specialized CLI agent with 100+ purpose-built data tools. Suited for tasks that mention or imply: warehouse access (Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, DuckDB), column-level lineage, downstream-impact analysis, dbt builds against a real warehouse, cross-database migration or validation, query cost attribution, schema…
- Analyzing Range DistributionCockroachDBAnalyzes CockroachDB range distribution across tables and indexes using SHOW RANGES to identify range count, size patterns, leaseholder placement, and replication health. Use when investigating hotspots, uneven data distribution, range fragmentation, or validating zone configuration effects without DB Console access.
- Analyzing Schema Change Storage RiskCockroachDBEstimates storage requirements for CockroachDB online schema change backfills using SHOW RANGES WITH DETAILS, KEYS, INDEXES. Use before CREATE INDEX, ADD COLUMN with INDEX/UNIQUE, ALTER PRIMARY KEY, CREATE MATERIALIZED VIEW, CREATE TABLE AS, REFRESH, or SET LOCALITY on tables with large per-index footprints, to avoid mid-backfill disk exhaustion.
- API Integration Surface StrategysamberDecide which integration surfaces a platform offers external developers and AI agents - REST, GraphQL, gRPC, SQL access, bulk data sharing, webhooks, SDKs, CLI, MCP, embedded components - and in what build order, sequenced by reversal cost and audience rather than novelty.
- Cn Ecommerce SearchshopmeskillsSearch products across Chinese e-commerce platforms: Taobao, Tmall, XHS (小红书). Zero-config — no API keys needed. Powered by Shopme unified product database. Use when the user asks to find products, get product info by URL or ID, search Chinese suppliers, or compare prices.
- Cockroachdb SQLCockroachDBUse when writing, generating, or optimizing SQL for CockroachDB, designing CockroachDB schemas, or when the user asks about CockroachDB-specific SQL patterns, type mappings, and distributed database best practices. Also use when encountering CockroachDB anti-patterns like missing primary keys, sequential ID hotspots, or incorrect type usage.
- Data Analystoneafrikan<!-- SKILL.md — Data Analyst operating manual. Runtime: Claude Code + ACP (swappable coding CLI). Content stays LCD — no assumptions about a specific warehouse or BI tool unless injected via a stack overlay. Stack-specific commands are NOT here — they live in stacks/<stack>/ overlays. Injection points are marked: `STACK: ...` -->
- Designing Application TransactionsCockroachDBGuides application developers in designing correct and performant transaction patterns for CockroachDB, covering transaction lifetime, implicit vs explicit transactions, retry handling with exponential backoff, pushing invariants into SQL, selective pessimistic locking, set-based operations, connection pooling, prepared statements, keyset pagination, follower reads, and separating business logic…